Lead 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 workfl ows (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, fi ne-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.
Required Skills & Qualifications
● Overall Experience: 6 to 9 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.
NOTE: Location is open to any Straive or Straive acquired firms in India.