What Were Looking For

• 4+ years of relevant software / AI product development experience
• Hands-on experience building production-grade AI/GenAI applications, not just POCs
• Strong programming experience in Python
• Hands-on backend development using FastAPI or similar frameworks
• Experience building frontend applications using React + TypeScript
• Hands-on experience with LLMs, GenAI and AI agents / agentic workflows
• Experience with RAG, including embeddings, vector databases, chunking and retrieval
• Experience with LangChain, LangGraph or similar AI orchestration frameworks
• Experience integrating LLM providers/APIs such as OpenAI, Anthropic, Azure OpenAI, Google, Ollama or similar
• Experience building end-to-end applications frontend, backend, APIs, data layer and deployment
• Experience working with document-based AI workflows such as PDF,



DOCX, Excel or text ingestion
• Robust understanding of APIs, asynchronous workflows and production debugging
• Working knowledge of Git/GitHub, Docker, testing and CI/CD

Good to have

• Experience with vector databases / search platforms such as ChromaDB, Azure AI Search, Pinecone, Weaviate or similar
• Experience building multi-agent or human-in-the-loop workflows
• Experience with browser/workflow automation or enterprise integrations
• Exposure to PostgreSQL / relational databases
• Experience in LegalTech, patent/IP, enterprise SaaS or other domain-heavy B2B products

Skills: generative ai,python,retrieval augmented generation

📌 Fullstack Engineer (India)
🏢 Lumenci
📍 India