LangChain Jobs

To take over an on going project not yet launched, MUST be highly skilled in AI development and optimisation. Someone who wants to work long term if they are suited to the role as head developer. Tasks Improve AI modelling Implementing AI in other areas UI Design experience is a MUST Be able to brainstorm and bring ideas to life.

--------------------- Caution: Dont apply if you dont show me your relevant chatbot projects with live links. When you apply without the live demos, I will consider it a scam and decline it immediately. --------------------- Summary Project Overview We are looking for an experienced developer to build an AI-powered chatbot for our website using a Retrieval-Augmented Generation (RAG) architecture. The chatbot should be able to answer user questions based on the content of our website. The chatbot should support multi-lingual function. We already have a visual concept for how the chatbot should look to users, but the design is not yet coded. We will provide an image/mockup of the interface that the developer should implement and integrate with the backend system. Important Requirements W...

need a developer who has worked on Agentic AI apps

I need a freelancer to design, build, and launch an AI-driven, web-based platform that empowers pro se litigants to draft their own court paperwork—from initial pleadings through motions and full legal briefs—without ever cutting corners on authority or formatting. Core goal The heart of the product is intelligent drafting: the system should ask the user plain-language questions, pull only verifiable, publicly available law, and then assemble a finished document that includes pinpoint citations to real cases, statutes, and court rules. Citations must be traceable to the original source and be formatted in Bluebook style (or the local court’s preferred variant) automatically. Jurisdictional coverage Because users often file in more than one venue, the platform must r...

I need an AI-driven agent that takes scheduling completely off my plate. The core purpose of the agent is task automation, not customer support or data analysis, so every design decision should focus on letting it run calendar-related workflows without human intervention. Here is what I have in mind: • The agent monitors incoming requests (email, chat, or form entries—whichever you recommend), identifies scheduling intents, and proposes available slots based on my calendar. • Once a time is confirmed it should create, update, or cancel events directly in Google Calendar and send the appropriate confirmations or reminders. • Conflicts must be detected and handled gracefully, ideally with a short conversational response generated by the model. • A simple das...

We are building a workflow-driven legal execution platform that converts procedural law and court rules into machine-executable software workflows. Unlike research databases or AI drafting tools, Lawgico focuses on procedural execution, enabling: • Court-ready drafting • Structured case summaries • Step-by-step procedural guidance • Embedded compliance logic Our goal is to standardize legal execution across Indian courts through software workflows. The founding team comprises advocates with direct High Court exposure and experience in judicial research and procedural compliance. We are currently preparing for incubation and seed funding rounds. What We Are Looking For We are seeking a technical co-founder / CTO who can: • Architect and build the core wo...

Fix RAG Service & Voice Interaction Issues in Python-Based Healthcare Application I need an experienced AI/ML developer to diagnose and resolve specific technical issues in a Python-based healthcare application that uses Retrieval-Augmented Generation (RAG) for content delivery and for AI voice agent integration. Specific Problems to Solve: 1. RAG System Issues: - Vector search returning irrelevant clinical content chunks - Embedding mismatches causing incorrect template retrieval - Context window optimization needed for accurate responses 2. Voice Interaction Bugs: - Speech interruption detection not triggering correctly - Silence timeout thresholds causing premature disconnections - Response retry logic failing after user interruptions 3. Content Validation: - Output filtering ...

Fix RAG Service & Voice Interaction Issues in Python-Based Healthcare Application I need an experienced AI/ML developer to diagnose and resolve specific technical issues in a Python-based healthcare application that uses Retrieval-Augmented Generation (RAG) for content delivery and for AI voice agent integration. Specific Problems to Solve: 1. RAG System Issues: - Vector search returning irrelevant clinical content chunks - Embedding mismatches causing incorrect template retrieval - Context window optimization needed for accurate responses 2. Voice Interaction Bugs: - Speech interruption detection not triggering correctly - Silence timeout thresholds causing premature disconnections - Response retry logic failing after user interruptions 3. Content Validation: - Output filtering ...

The assignment centres on taking live immigration feeds from government databases and shaping them into a continually updated knowledge graph, with a clear upgrade path toward Graph-RAG so an LLM can later query the graph directly. Phase 1 – Knowledge graph Data will arrive as real-time or near-real-time streams. I already have authorised access to the government endpoints; your job is to design and code the ingestion, normalisation, and storage layers. A graph database such as Neo4j, TigerGraph, or Amazon Neptune is preferred, but I am open to any engine that supports ACID guarantees and fast traversals. The graph must refresh automatically as new records appear and expose a REST/GraphQL interface for downstream services. The entities and relationships that must be modelled are:...