Senior AI/ML Engineer (Traditional ML + Generative AI)

## About the Role We are looking for an experienced AI/ML Engineer who combines a strong foundation in traditional Machine Learning and Data Science with hands-on expertise in modern Generative AI systems. This role requires someone who can build production-ready ML solutions, develop intelligent LLM applications, design multi-agent systems, implement Retrieval-Augmented Generation (RAG), and deploy scalable AI services using modern MLOps practices. You'll work across the full AI lifecycle—from data preparation and model development to deployment, monitoring, and continuous improvement. --- ## Responsibilities * Design, build, and deploy end-to-end machine learning solutions. * Develop predictive models using classical ML algorithms for structured and unstructured data. * Build production-grade LLM applications using frameworks such as LangGraph, LangChain, CrewAI, or similar. * Design and implement multi-agent AI systems with planning, orchestration, memory, and tool usage. * Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and hybrid search. * Optimize prompts, retrieval quality, and agent workflows for accuracy, latency, and cost. * Develop scalable APIs and backend services for AI applications. * Build evaluation pipelines for LLMs and RAG systems, including automated testing and monitoring. * Collaborate with product managers, software engineers, and data engineers to deliver AI-powered products. * Deploy, monitor, and maintain ML/LLM workloads in production using modern MLOps practices. --- ## Required Qualifications ### Traditional Machine Learning & Data Science * 5+ years of experience building production ML systems. * Strong understanding of: * Supervised and unsupervised learning * Classification and regression * Clustering * Recommendation systems * Feature engineering * Model evaluation and validation * Time series forecasting (preferred) * Statistical analysis and experimentation * Experience with: * Python * Pandas * NumPy * Scikit-learn * XGBoost / LightGBM / CatBoost * Strong SQL skills and experience working with large datasets. ### Generative AI Hands-on experience with: * Large Language Models (OpenAI, Claude, Gemini, Llama, etc.) * Multi-agent architectures * RAG systems * Prompt engineering * Tool calling / Function calling * Structured outputs * Context management * Memory architectures * Vector databases such as Pinecone, Qdrant, Weaviate, Milvus, Chroma, or FAISS * Embeddings and semantic search * Hybrid retrieval and reranking Experience with one or more frameworks: * LangGraph * LangChain * CrewAI * Google ADK * Semantic Kernel * AutoGen * LlamaIndex --- ## MLOps & Production Engineering Experience with: * Docker * Kubernetes * CI/CD pipelines * MLflow * Model versioning * Model deployment * Model monitoring * Experiment tracking * Feature stores * GPU inference optimization * REST APIs (FastAPI preferred) Cloud experience with at least one platform: * AWS * Google Cloud Platform * Microsoft Azure --- ## Nice to Have * Deep Learning (PyTorch or TensorFlow) * Fine-tuning LLMs (LoRA/QLoRA/PEFT) * Distributed training * Knowledge Graphs / GraphRAG * Computer Vision or NLP experience * Reinforcement Learning * Streaming data pipelines (Kafka, Pub/Sub) * Airflow or similar orchestration tools * Experience building AI agents for enterprise applications --- ## What We're Looking For The ideal candidate is: * Strong in both classical Machine Learning and modern Generative AI * Comfortable owning projects from research through production * Experienced building scalable AI systems rather than prototypes * Passionate about solving complex engineering problems * Able to work independently while collaborating across cross-functional teams * Focused on writing clean, maintainable, production-quality code --- ## Preferred Tech Stack * Python * FastAPI * Scikit-learn * PyTorch / TensorFlow * LangGraph / LangChain * OpenAI / Claude / Gemini * Pinecone / Qdrant / Weaviate * PostgreSQL * Redis * Docker * Kubernetes * MLflow * GitHub Actions * AWS / GCP / Azure --- ## Why Join Us? * Build cutting-edge AI products used in production. * Work on both traditional ML and next-generation AI systems. * Solve challenging real-world problems using the latest AI technologies. * Collaborate with experienced engineers in a fast-paced, innovation-driven environment. * Opportunity to shape the architecture of modern AI platforms from the ground up.

Project ID: 40569836