Falcon llmJobs

...project for political media monitoring and communication workflow support. The pilot should: - collect public content from selected news portals, public Facebook pages, YouTube channels, and political/institutional websites - clean, deduplicate, and store content in a database - classify content by topic, tone, target, and urgency - generate short summaries and suggested response drafts using a cloud LLM - provide an internal command board where a user can approve, reject, edit, and route content - integrate with WordPress to create drafts, assign categories/tags, and prepare content for publication - support internal distribution by email / Telegram / WhatsApp only after manual approval - include audit logs showing who logged in, what they reviewed, and who approved or edited c...

...a weekly newsletter for me. Every edition must pull together three content pillars—company updates, product information, and wider industry news—then weave them into a cohesive, on-brand email ready for my final approval. Here is what I’m aiming for: • A trigger (manual or data-based) that launches the workflow each week. • Content sourcing or prompt logic that feeds OpenAI (or a comparable LLM) the latest material for those three sections. • Formatting and sectioning that match my existing Beehiiv template, including headline, preview text, and smart snippets. • Automatic scheduling to the “Friday 9 a.m.” slot in Beehiiv, with the draft saved as a new issue so I can review before send. • Clear documentation of eve...

...Build 4 funnel paths from supplied mockups: Self-Employed Contractor Firm Partner Professional Each funnel includes Step 1, Step 2, Step 3, Request Review page Build the success / confirmation page Implement forms so leads are captured properly Ensure strong mobile responsiveness, clean front-end execution, and fast load speed Set the site up properly for SEO, Google Ads campaigns, and AI-search / LLM discoverability foundations Ideally also provide ongoing SEO / optimisation support after launch What I need from you: strong front-end implementation skills ability to faithfully translate supplied mockups into live responsive pages pixel-level attention to spacing, typography, and hierarchy strong technical SEO capability understanding of structured data, crawlability, and searc...

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project ai...modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (e.g., fraud detection modeling, LLM Chatbot development). Mandatory Requirements: Candidates must have valid certifications in ML/LLM/Data Science, proven experience training advanced technical audiences, and high prof...

...DevOps and LLM integration experience to design, deploy, and optimise a self-hosted AI agent (OpenClaw) running on a VPS. This is not a basic chatbot project. The role involves building a persistent, autonomous AI system that integrates: • LLMs (OpenAI, Claude, etc.) • Messaging platforms (Telegram) • Web-based dashboards • Task execution workflows CORE COMPETENCIES REQUIRED 1. DevOps & Infrastructure (Non-negotiable) The candidate must have real production deployment experience: • Linux server management (Ubuntu preferred) • VPS provisioning (Hetzner, AWS, DigitalOcean, etc.) • Containerisation: • Docker • Docker Compose • Reverse proxy setup: • Nginx • SSL/TLS configuration (HTTPS) • Firewall and server harde...

...out-of-the-box nodes, so solid JavaScript/TypeScript skills and full-stack experience are essential. I’ll rely on you to create custom nodes where needed, orchestrate error handling and retries, document each step clearly, and containerise the final solution (Docker preferred) for straightforward deployment. Deliverables • Fully functional n8n workflows covering database, API, spreadsheet, and LLM integrations • Any custom nodes or helper scripts with readable, commented code • Deployment guide (env setup, Dockerfile, env vars) plus a concise usage handbook • Test data or mock endpoints proving that every branch of each workflow executes correctly Acceptance criteria The workflows run end-to-end on my infrastructure, push/pull data reliably...

...goes hand-in-hand with smooth interactions. Core functionality is driven by three AI capabilities working together: • Natural Language Processing for conversational and content-generation tasks • Predictive Analysis that surfaces insights from user data in real time • Computer Vision for image understanding and automated tagging I plan to run these through OpenAI, Anthropic, or a custom LLM stack—whichever you wire up most effectively—so experience orchestrating multiple providers is important. The back end lives in Python, ideally Django or Flask, with well-structured APIs that the front end can consume. Database choice is flexible as long as performance and scalability are addressed. Expect to own the full pipeline: models, endpoints, integ...

...would approach this (vision LLM + YOLO + DXF generation?) Any similar past projects (especially CAD/DXF automation or technical drawing conversion) Estimated time to deliver the working POC using the sample files I will provide the full Before and After PDFs attached. Can provide more if needed. I'm guessing this would be the pipeline: Architectural Elevation (A407 or similar) ↓ YOLO → detects cabinets, walls, sinks, etc. ↓ Python Rules Engine (loads ) ↓ ezdxf → generates initial DXF shop drawing ↓ Human reviews DXF in AutoCAD ↓ Human gives correction (text or chat): “Add 1" filler strip on the right side of every cabinet next to a wall” ...

AI Prompt Design and Optimization for LLM Application We are looking for an experienced AI developer to design and optimize prompts for large language models to improve response quality, accuracy, and consistency in real-world use cases. The ideal candidate should have hands-on experience with prompt engineering and a strong understanding of how LLMs behave across different tasks. You will be responsible for refining prompts, testing outputs, and ensuring reliable performance across various scenarios. Responsibilities • Design and refine prompts for specific use cases • Improve response accuracy and consistency • Test and iterate on prompt performance • Structure outputs for clarity and usability • Work with AI models such as OpenAI or similar Use cases...

Título del Proyecto: Experto para Instalación y Optimización de Agente de IA Local (LLM Local) Descripción del Proyecto: Busco un programador con experiencia en Inteligencia Artificial para instalar y configurar un agente de IA que funcione 100% de forma local en mi computadora. El objetivo es no depender de la nube, garantizando total privacidad y velocidad de procesamiento. Tareas a realizar: Configuración del Entorno: Instalación y optimización de frameworks como Ollama, LM Studio o LocalAI. Optimización de Modelos: Aplicar quantization (GGUF/EXL2) a modelos como Llama 3, Mistral o Qwen para que funcionen de manera fluida según las capacidades de mi hardware (CPU/GPU). Interfaz de Usuario: Configurar una interfaz vis...

Budget : 3k -5k : architecture is alredy created !!!URGENT support IT's Debuging job your job is to work and cunsult me and my team I have a full-length company financial report that arrives only as a PDF file and I want to turn it into something my local LLM (running through Ollama) can understand and answer questions on with reliable accuracy. The goal is a hands-off pipeline: I drop a fresh PDF into a folder, run a command, and then query the model for any figure—whether it sits in the balance sheet, income statement, or cash-flow section—and get a clean, correct response every time. What I need built • A script (Python preferred) that parses the PDF, captures every table and key figure, and outputs a structured data store (CSV, JSON, or SQLite&m...

We're a team based in Pakistan and Canada looking for an experienced Full Stack Developer to work on modern web applications and AI-powered systems. Required Skills: • Frontend: , React.js (hooks, context, SSR/SSG) • Backend: Laravel, PHP (REST APIs, MVC, Eloquent ORM) • AI & Automation: Python, LLM integration, chatbot development • Database: MySQL, PostgreSQL • Version control: Git Responsibilities: • Build and maintain full-stack web applications • Develop and integrate AI chatbots and automation workflows • Design clean, scalable REST APIs • Collaborate on product features from design to deployment You're a great fit if you: • Have 3+ years of hands-on experience with the above stack • Can overlap working...

We're a team based in Pakistan and Canada looking for an experienced Full Stack Developer to work on modern web applications and AI-powered systems. Required Skills: • Frontend: , React.js (hooks, context, SSR/SSG) • Backend: Laravel, PHP (REST APIs, MVC, Eloquent ORM) • AI & Automation: Python, LLM integration, chatbot development • Database: MySQL, PostgreSQL • Version control: Git Responsibilities: • Build and maintain full-stack web applications • Develop and integrate AI chatbots and automation workflows • Design clean, scalable REST APIs • Collaborate on product features from design to deployment You're a great fit if you: • Have 3+ years of hands-on experience with the above stack • Can overlap working...

...across 300+ branches, and new features keep piling up. I need a reliable developer who can stay with us for the long haul, taking ownership of backend work in Laravel and Python while pushing new UI pieces in React. You’ll also help wire advanced AI/LLM functionality into existing services, so being comfortable with tools like ChatGPT and Claude is important. Day-to-day you’ll: • Extend and refactor APIs, queues, and micro-services in Laravel or Python. • Build or enhance React components that consume those endpoints. • Prototype and integrate AI/LLM features (content generation, semantic search, agent workflows). • Ship to Ubuntu 22.04 VPS instances and keep an eye on performance, ideally with PostgreSQL on the back end. What makes ...

I am finalising a research paper that relies on large-language-model experiments and I need a Python specialist to turn my methodology into clean, reproducible code. The core help I’m after is coding itself—covering the full pipeline from data preprocessing through model training to final evaluation and visualisation. I need datasets, well-documented Python scripts or notebooks that I can run end-to-end on my own machine (or a Colab instance). Expect to work with common libraries such as pandas, NumPy, PyTorch or TensorFlow, Hugging Face Transformers, plus Matplotlib or Seaborn for charts—use whichever combination best suits the objectives while keeping dependencies manageable. Deliverables
 • Data preprocessing module that loads the provided datasets, cleans them,...

**Job Title:** n8n Developer Needed for AI / LLM Data Workflows (Ongoing, Hourly) **Job Description:** We are looking for a skilled n8n developer to help us build and maintain multiple automated workflows for our company. Our business helps companies understand and improve their visibility and availability across Large Language Models (LLMs). This involves collecting, structuring, and analyzing data from various sources — and we need robust automation to support this. This is an ongoing role with hourly billing, and there is strong potential for full-time employment if the collaboration is a good fit. **What you’ll do:** * Build and maintain n8n workflows for data collection, processing, and reporting * Integrate APIs (LLMs, scraping tools, internal systems, etc.) *...

Je cherche un développeur maîtrisant Claude AI pour créer de nouvelles fonctionna...d’appels API et éventuels scripts backend (Python, Node ou équivalent) nécessaires. • Intégration fluide avec mes outils internes ou services tiers si pertinent. • Documentation claire pour que je puisse ajuster les workflows après livraison. • Tests démontrant la fiabilité et la robustesse des nouvelles fonctionnalités. Profil recherché : expérience démontrable avec Claude AI ou d’autres LLM, automatisation de processus et bonnes pratiques de développement sécurisé. Dans votre réponse, concentrez-vous sur votre expérience pertinente et...

Role Overview Seeking a developer experienced in building applications along with PHP/Laravel-based backend systems. The role involves integrating enhancements and capabilities into an existing web stack and building scalable APIs. Knowledge of AI/LLM is a plus.

I need a self-contained AI pipeline that turns plain sentences into fully rendered 2D animated videos. The entire workflow must run offline on our own GPU servers—no external APIs or cloud calls. Pipeline goals • Ingest: clean text input (full sentences) • Interpret: extract narrative, characters and scene cues with an LLM or rules-based NLP module • Generate: create on-model storyboards and keyframes, then interpolate to smooth 24-30 fps motion • Render: output MP4 or MOV at 1080p (minimum) with transparency-capable layers so we can later composite or edit • Export: knock-out audio placeholders so our sound team can sync voice-overs later Tech preferences I’m comfortable with PyTorch, Stable Diffusion/AnimateDiff, ControlNet, and O...

...intelligent systems. We are onboarding developers for long-term collaboration. This is a paid hourly assessment to evaluate real-world engineering capability. Scope (Tight & Premium) Build a lightweight AI-powered data insights module : Core Requirements ● Load and process dataset (CSV/JSON) ● Perform basic analytics: ○ Trends ○ Aggregations ○ Simple anomaly detection ● Integrate LLM (OpenAI / Claude) to generate: ○ Key insights ○ Summary API Layer ● Create simple FastAPI endpoints: ○ /process-data ○ /generate-insights Output ● JSON response (structured insights) ● Human-readable summary Budget ● Hourly Rate: $35/hr - $45/hr ● Max Hours: 12–15 Evaluation Criteria ● Code quality & structure ● Practical thinking ● AI out...

...include confidence scores or similar transparency. 3. All medical text is explainable at about an eighth-grade reading level and carries a “not a substitute for professional advice” disclaimer. 4. Code passes my security review (no hard-coded keys, OWASP top-10 safe) and installs locally with a one-command deploy script. 5. Diagnosis's is reviewed by remote doctor at background who can edit LLM results so AI can learn Workflow :- User arrives at kiosk ↓ AI chatbot asks symptoms/ if user just wants some tests ( voice ) ↓ AI recommends tests based on symptoms ↓ User measures BP, SpO2, temp etc ( all devices will we provided to users via kisosk e.g Cloudclinic) ↓ AI analyzes results ↓ AI gives health report and suggestive diagnos...

Freelance RAG Engineer (LLM Systems) – Evaluation & Optimization Project Overview We are building Yuktha, an AI-driven women’s metabolic health platform (starting with PCOS). Our system uses a Retrieval-Augmented Generation (RAG) pipeline to deliver personalized recommendations (diet, supplements, lifestyle, coaching) via mobile app and WhatsApp. A baseline RAG system is already developed. We are looking for an expert to audit, optimize, and scale the system for production-grade performance. --- Scope of Work 1. RAG System Audit - Review current architecture (retrieval, embeddings, prompting, orchestration) - Identify: - Hallucination points - Retrieval failures - Latency bottlenecks - Context leakage / irrelevant responses --- 2. Retrieval Optimizat...

Overview The objective is to build a private, high-security Wealth Management System in Microsoft Excel that leverages AI (LLM APIs) to provide strategic financial oversight. The tool will transition from a manual ledger into a "Strategic Advisor" capable of micro/macro-analysis, tax optimization, and inheritance planning. Structure & User Interface (The Workbook) The system must be organized into the following synchronized layers: • Sheet 1: Definition & Legacy Profile – User financial profile, risk appetite, specific objectives, and Inheritance/Succession parameters (beneficiaries, tax jurisdictions, and asset protection goals). • Sheet 2: DB Transactions – A structured, relational database ledger for manual entry (Date, Amount, Currency, C...

...already prepared, and we are seeking a strong developer or small team to build the first version. The scope includes a mobile application with user authentication, voice input, data submission, and GPS logging, alongside a web dashboard for data viewing, filtering, and report-style outputs. The system will also integrate AI capabilities such as speech-to-text and structured text generation using LLM APIs. Preferred technologies include React Native for mobile, Node.js, Firebase or FastAPI for backend, OpenAI or similar for AI integration, and AWS or GCP for deployment, though we are open to recommendations. The ideal candidate will have solid experience across mobile and backend development, familiarity with API integrations, and the ability to deliver a clean, scalable MVP. The ...

Automation and AI expert who knows Cloud A, works to optimize APIs, uses a free LLM for very basic things and structuring it, then uses Cloud A to do high-quality work. I want someone who builds a scraper which goes to my site map, scrapes no more than 1,500 or 2,000 URLs at once, and, on a weekly basis, keeps an eye on whether any changes are there in any URLs or any new URLs have been added. It then scrapes those articles about a subject and prints them, and also learns from my style of writing by scraping all my emails and some of my examples which I will put in, so on that subject, on the product, it gets full knowledge of the product as well as how I consult my clients. It then helps people across social media, listening and replying in comments and email responses, and even 1...

...and ON TRACK What’s broken right now: • AI pauses too long • conversation loops / goes off track • responses feel robotic • ordering flow isn’t tight Your job: • design prompt structure + conversation flow • force clean step-by-step ordering (rails) • eliminate delays + overthinking responses • make it feel like a real employee, not AI Stack: • Twilio (voice + SMS) • ElevenLabs (voice) • OpenAI / LLM backend • n8n automation You are a fit if: • you’ve worked on voice agents (not just chatbots) • you understand latency + response timing • you build short, fast, controlled responses • you’ve done ordering / customer service flows before To apply: Send: 1. Example of a voice or ch...

...building production-grade AI systems, automation tools, and scalable digital products. I am looking to partner with freelancers (designers, marketers, consultants, no-code builders, etc.) who already work with clients but may not offer advanced AI or full-stack development services. You bring the client. I handle the execution. We share the revenue. What I Bring AI Development (Core Strength) LLM-powered applications (ChatGPT-like systems) Retrieval-Augmented Generation (RAG) systems AI agents and workflow automation Custom AI tools tailored to business needs Full-Stack Engineering Frontend: React (TypeScript) Backend: FastAPI / Node.js Databases: PostgreSQL and vector databases Scalable, production-ready deployment Automation and SaaS Systems End-to-end workf...

...bonnet, and boot. Vehicle dimensions, the ideal engine mockup type, and the gearbox mockup will all be finalized together during the design process. What We Need: BODY • Exterior 3D model (clean, modern) • Two falcon-style doors (servo-driven) • Powered windows (simple up/down mechanism) • Servo-driven bonnet + boot • Basic interior: seats, steering wheel, simple dashboard, AC shell, two tablet mockups, small fire extinguisher, two luggage props • Internal spaces reserved for: • Servos • ToF sensors • LEDs / small light housings • Mini speakers (2): one inside each falcon door area CHASSIS: • RC-style chassis with: • Servo steering system • Drivetrain with a simple differential • Engine b...

...applications • Build features like: o Natural language → map queries o Automated site insights / recommendations • Work with LLM APIs and backend orchestration Tech Stack • Frontend: React JS (mandatory) • Mapping: ArcGIS Maps SDK / Mapbox / Leaflet • Backend: Node.js + Express • Database: MongoDB • Cloud: Microsoft Azure • AI: LLM APIs / agent-based workflows Requirements (Must-Have) • Strong experience in React (2+ years) • Proven experience building GIS / map-based applications • Hands-on experience with mapping libraries (ArcGIS / Mapbox / Leaflet) • Experience working with large datasets • Experience with Azure (storage + hosting + deployment) • Experience integrating AI/LLM features i...

I want to spin up a data-analysis bot that can be trained to act as a credit analyst. Its core duties will be credit risk assessment, financial reporting, and running predictive analysis on lending portfolios. I have not yet settled on the underlying LLM—Claude, GPT-4, or possibly a hybrid approach—so part of this engagement is your guidance on the best stack (e.g., LangChain orchestration, vector store, retrieval strategy) for accuracy, cost-efficiency, and explainability. Here is what I need to walk away with: • A working agent hosted in a cloud environment (or locally if more practical) that ingests structured and unstructured financial data, runs the three tasks above, and produces clear, exportable outputs. • A concise technical document covering arc...

Title: Build POC to Compare Normal RAG vs Graph RAG vs Tree RAG on Enterprise Knowledge Base Project Summary: I need an experienced AI/LLM engineer or small team to build a Proof of Concept that compares 3 retrieval approaches on the same real knowledge base documents: 1. Normal RAG (vector similarity / vector DB) 2. Graph RAG (entity + relationship + graph traversal) 3. Tree RAG (page / heading / section / hierarchy-based retrieval) The purpose of this POC is not only to make all 3 work, but to compare them fairly on the same documents and same question set, then recommend which approach works best for which question type. Main Goal: Build a working POC that can: * ingest the same source documents * create 3 separate indexes from the same documents * answer questions using eac...

...behind them. We back those figures with structured, role-specific training so you can ramp up quickly even if you are switching stacks. The work spans modern back-end, front-end, data and platform challenges. Today our most urgent need is for people who code confidently in Python and Java/JavaScript, yet we are also building teams in C, C++, C#, Go, R, S-plus, Rust and even prompt-engineering for LLM-driven features. Large-scale ERP exposure (SAP, PeopleSoft, Oracle) is another big plus. On the academic side we are especially keen on candidates holding an MBA, MCA, MS or PhD, though strong bachelor’s graduates with the right mindset are absolutely welcome. Final-year students graduating in 2026 can also secure an early offer now. If you have the drive to solve real...

...these pieces to talk to each other smoothly, surface accurate context on demand, and expose a clean API that downstream apps can call without worrying about the plumbing. What I already have: standalone LLM endpoints, a small library of task-specific agents, and an indexed knowledge base ready for RAG queries. What I need from you: the connective tissue. That means orchestrating calls between the models and agents, handling vector or hybrid search for the RAG layer, and implementing guardrails so the final responses stay on topic and safe. Deliverables • End-to-end workflow that links the LLM, agent manager, and RAG retriever • Clear, commented code or notebooks showing how each call is made • Minimal API (REST or FastAPI is fine) that external service...

I have a production-ready, end-to-end voice bot running on Plivo with a streaming pipeline that chains Deepgram for STT, an LLM for intent generation, and a TTS engine for playback. Two problems are stopping me from going live: • Interruption handling (barge-in) – when a caller begins speaking, the TTS stream should halt instantly, but today the audio keeps playing. • Latency – the STT → LLM → TTS round-trip is a few seconds too slow; I need it trimmed to near real-time. • Overall flow optimisation – once the first two points are stable, I’d like a quick sanity check on buffer sizes, chunk timing and any other easy wins. I already have partial barge-in logic coded, yet it isn’t firing reliably, so I’m looking ...

...or risks to the team's attention. - Identify technical approaches and tooling that improve how we deliver across the board. - Participate in client-facing meetings on an ad hoc basis, representing IzzyAgents with credibility and clarity. Required Skills and Experience - Strong, hands-on experience in applied AI development. - Proficiency with Claude Code is non-negotiable. - Solid knowledge of LLM APIs, including Anthropic and OpenAI. - Experience building and working with RAG pipelines and vector databases. - Familiarity with MCP (Model Context Protocol). - Experience with API and webhook integrations. - Confident in client-facing meetings, able to answer technical questions clearly and credibly, including with security and compliance teams. - Proactive, self-managing, and...

I need a technically-savvy partner who has hands-on experience with agentic AI frameworks—Claude or an equivalent LLM stack preferred—to help me deploy a small suite of specialised agents on my website and, in parallel, establish an ongoing competitive-analysis workflow. For the site itself, the agents must: • handle customer support chats in real time, • draft and refine on-page copy and blog posts, and • pull key metrics from my internal database so they can surface personalised insights to users. These agents will interact with our own PostgreSQL database (via a REST layer) as well as direct user input gathered through existing forms. I already have API access and documentation for the data layer; you will handle the orchestration logic, promp...

...basic objections. ​Integration: Must trigger calls from our existing database (Google Sheets/SQL) and write back the "Lead Status" and "Call Summary" automatically. ​Technical Stack (Preferred): ​Orchestration: , Retell AI, or Bolna. ​LLM: GPT-4o or Claude 3.5 Sonnet (optimized for Malayalam). ​TTS (Voice): ElevenLabs (Malayalam) or Azure Neural Voice. ​STT (Hearing): Deepgram (Nova-2) or OpenAI Whisper. ​Automation: , Zapier, or Python-based Webhooks. ​Telephony: Twilio or Exotel. ​Responsibilities: ​Configure the Voice AI pipeline (STT -> LLM -> TTS). ​Draft and optimize the Malayalam System Prompt for loan sales/qualification. ​Handle Interruptions (Turn-taking) and "End-of-speech" detection. ​Set up the automation flow to pull/push d...

We are looking for an experienced Senior Data Scientist for a short-term, high-impact project involving LLM evaluation and advanced data workflows. The Essentials Duration: 1–2 months (potential for extension). Commitment: 20+ hours per week (flexible hours, completed on your own schedule). Context: Supplemental income / "Side-gig" friendly. Fully remote Rate : $200 per task completed. (Task durations = 1-3 hours max) What You’ll Do Design and run A/B experiments and evaluate model behavior. Build/audit data workflows and pipelines (dbt, SQL). Analyze datasets and communicate findings for data-driven decisions. Work with LLM benchmarking and agentic coding workflows. What You Need 4+ years professional experience in DS, ML, or Data Engineering. Expert...

...systems/blog/hybrid-rag-architecture/) This project proposes a hybrid RAG architecture that combines keyword-based retrieval with semantic search, adds a reward-and-punishment scheme to improve retrieval relevance, and uses ReComp-style context compression to handle long contexts more efficiently. [arxiv]() Background Retrieval-Augmented Generation is widely used to reduce LLM limitations such as knowledge cut-off, hallucinations, and lack of transparency, because it grounds generation in retrieved external evidence. Hybrid search is especially useful because keyword retrieval improves exact-match precision while semantic retrieval helps recover conceptually related content. [toloka]()

...(YOLOv8 or better) on PlantVillage images. Corn is the only crop for now, but feel free to enrich the training mix with compatible Kaggle sources if it boosts recall. The API receives a leaf photo, returns the detected disease name plus an evidence-based treatment guideline. 2. Chemical Compliance Assistant Using the dataset of “Allowed / Banned Agricultural Supplies” that I will share, build an LLM-powered RAG pipeline. The service must answer farmers’ free-text questions while refusing or correcting anything that contradicts the rules. Guardrails against hallucination are mandatory. 3. Yield Prediction Create a model—XGBoost is a strong candidate—that ingests live IoT sensor readings (JSON payloads: weather, soil moisture, temperature, etc.) ...

I ...platform and current tech stack. Waterfall Enrichment: Set up a multi-step email finding logic: If Apollo API fails, try , then Prospeo/Proxycurl (LinkedIn scraping). Verify emails using ZeroBounce or MillionVerifier. Output: Sync all data into a Google Sheet or a PostgreSQL Database. Preferred Tech Stack: Language: Python Framework: LangChain / LangGraph or CrewAI (Agentic Frameworks) LLM: GPT-4o / Claude 3.5 Sonnet Scraping: Firecrawl / Browserbase Search: / Tavily AI Deliverables: A functional script or backend that can process batches of 500-1000 leads at a time. Dashboard or simple UI to trigger searches and download CSVs. Documentation on how to rotate API keys and manage costs. Please share your experience with AI Agents and Web Scraping at scale when applying.

I am looking for an experienced developer to improve and expand an existing AI chat application. The full project source code is attached in this job post, so you can review it before apply...and improve stability * Add new features and enhancements * Optimize performance and user experience **Requirements:** * Strong experience in AI/chatbot or similar applications * Proficiency in JavaScript or relevant technologies used in the project * Experience working with APIs and real-time systems * Ability to work with existing code and improve it **Nice to Have:** * Experience with AI/LLM integrations * UI/UX improvement skills Please review the attached source code before applying and include your relevant experience. I am looking for a reliable developer for possible long-term coll...

Project Title: ...guide development. What we need: • Review existing Python codebase (structure, logic, performance) • Identify bugs, risks, and scalability issues • Improve code quality and architecture • Ensure best practices (security, API handling, error handling) • Guide ongoing development (light mentorship / async support) • Help us avoid technical debt as we grow Nice to have: • Experience with AI/LLM integrations • Experience with fast MVP → scalable product transitions • Experience working with non-technical founders or junior devs Engagement: • Ongoing, part-time (few hours per week to start) • Async communication preferred (Slack/Telegram) Goal: Turn a working “vibe-coded” app into a s...

We're working with one of our major Enterprise client and they are looking for a native French Content Strategist for a 2 month project. You will need to evaluate LLM generated contents and provide feedback related to an e-commerce website. To ensure task distribution, you will need to have a 2hrs overlap with China time, we can have this finalized based on mutual availability. It is estimated that you will work 40hrs per week and we're looking to have the project start as soon as possible. Pay rate for this will be $18/hr. Once you place your bid, there will be an assessment from the client which we will provide to you.

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We're working with one of our major Enterprise client and they are looking for a native French Content Strategist for a 2 month project. You will need to evaluate LLM generated contents and provide feedback related to an e-commerce website. To ensure task distribution, you will need to have a 2hrs overlap with China time, we can have this finalized based on mutual availability. It is estimated that you will work 40hrs per week and we're looking to have the project start as soon as possible. Pay rate for this will be $18/hr. Once you place your bid, there will be an assessment from the client which we will provide to you.

Fix AI Interview System (Gemini API + TypeScript) | LLM Optimization & Backend Stability **Project Description** We are building an AI-powered interview platform that conducts structured interviews, evaluates candidate responses, and provides scoring using the Gemini API. Currently, we are facing multiple issues with AI response quality, consistency, and system reliability, and we are looking for an experienced LLM / Generative AI Engineer to fix and optimize the system. **Current Problems** Inconsistent AI responses during interviews Poor structured output (JSON breaking / invalid formats) Weak evaluation logic (incorrect scoring / feedback) Prompt instability across sessions Latency issues and delayed responses Occasional irrelevant or hallucinated answers Difficulty...

...Backlink building, social media promotion and guest blogging outreach Beyond the usual SEO hygiene, I also want the copy and site structure shaped so it surfaces cleanly in LLM-powered answers (think ChatGPT and Google’s AI snippets). That means clear semantic markup, concise question-and-answer blocks and fact-checked references. Deliverables 1. An initial audit with priority list of fixes 2. Implementation of the agreed changes, including updated HTML tags and content tweaks 3. A backlink and outreach plan with the first set of live links 4. A short best-practice guide explaining how to keep future content LLM-friendly Please note: I’m after measurable gains—improved rankings, higher organic traffic and stronger brand visibility inside AI...

... family offices, and automation. Freelance Mission: Design/implement 1 MCP Gateway (routing, JWT auth, rate-limiting, multi-tenant isolation via CLS/Prisma) + 10 custom MCP servers (RWA/assets, investors/clubs, workflows, KYC/KYB, documents x2). Connect to existing backend (Supabase/PostgreSQL APIs) for real data exposure to LLM agents. Prioritize types/ESM-CJS, security (scopes, audit trails). MCP Architecture: Gateway federate servers → seamless access for an LLM orchestrator + external LLMs. Deliverables: Docker-ready code, minimal docs/examples. Profile: Senior Backend MCP/AI expert (Python/FastAPI OR Node/TS). RWA/fintech bonus....

...workflows. You will work on real-world healthcare problems, including risk adjustment, prior authorisation, and care gap closure. What You’ll Build • Multi-agent systems (planner, executor, verifier architectures) • AI workflows for risk adjustment, prior authorization, and provider engagement • RAG pipelines and tool-using LLM systems • Scalable AI infrastructure using cloud-native architectures Core Responsibilities • Design and implement agentic architectures • Build LLM-powered applications with high accuracy and reliability • Integrate healthcare data (FHIR, HL7, claims) • Develop evaluation and feedback loops for continuous improvement Required Qualifications • Strong Python and system design skills • Experience...