Fullstack Engineer

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


• Strong 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