Lead AI Engineer

Job Description We are seeking a highly technical, hands-on Sr. Gen AI Engineer / Lead Gen AI Engineer to drive the design, development, and deployment of production-grade Generative AI applications. In this dual-impact role, you will act as a primary individual contributor architecting core AI engines while simultaneously leading engineers through task allocation, code reviews, and technical mentorship.

The ideal candidate bridges the gap between state-of-the-art AI research (LLMs, Agentic frameworks, Advanced RAG, OCR) and production-grade full-stack engineering (Python, FastAPI, React).

Key Responsibilities

Generative AI & Agentic Systems: Architect, build, and optimize LLM-powered applications, multi-agent workflows (e.g., CrewAI, AutoGen, LangGraph), and autonomous AI agents.

RAG & Document Intelligence

Design and deploy advanced RAG architectures and document processing pipelines utilizing OCR techniques (e.g., LayoutLM, PaddleOCR, Tesseract, Azure Document Intelligence) and Vision LLMs to extract structured data.

Backend Microservices

Build robust, asynchronous, high-throughput microservices and RESTful APIs using Python and FastAPI.

Frontend Integration

Collaborate on or build modern web interfaces using React (e.g., Control Towers, operations dashboards, interactive chat interfaces).

MLOps & Infrastructure

Oversee model deployment, prompt engineering, fine-tuning, vector database integration (Pinecone, Qdrant, Chroma, PGVector), and cloud infrastructure setup (Azure/AWS).

Technical Oversight

Lead a team of AI, backend, and full-stack engineers; allocate tasks, establish sprint priorities, and ensure timely delivery.

Conduct rigorous code reviews

To maintain high engineering standards, security, performance, and scalability across AI and full-stack codebases. Key Qualifications & Skills Overall Experience: 6 to 12 years of professional software engineering experience. AI/ML Domain Experience: 3+ years of dedicated, hands-on experience building and deploying AI/ML, OCR, and Generative AI solutions in production.

Core Technical Stack

Generative AI & LLMs: Extensive experience with commercial and open-source LLMs (OpenAI, Anthropic Claude, Llama), Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI), and LLM evaluation frameworks (LangSmith, TruLens, RAGAS).

RAG & Unstructured Data

Strong knowledge of hybrid search, re-ranking, chunking strategies, vector databases, and document intelligence workflows.

OCR & Vision Techniques

Hands-on experience with OCR engines (Tesseract, PaddleOCR, Azure Document Intelligence) and Multi-Modal/Vision LLMs.

Backend

Deep expertise in Python and asynchronous frameworks (FastAPI, AsyncIO).

Frontend

Working proficiency in React (TypeScript/JavaScript) for building interactive web UI components.

Cloud & DevOps

Hands-on experience with cloud platforms (Azure / AWS), Docker, Kubernetes, and CI/CD pipelines.