Fullstack Engineer

Skills

• agentic-ai
• ai
• anthropic
• api
• automation
• azure
• chromadb
• ci-cd
• docker
• embeddings
• fastapi
• generative-ai
• git
• github
• langchain
• langgraph
• llm
• ollama
• openai
• pinecone
• postgresql
• python
• rdbms
• react
• saas
• typescript
• vector-databases
• weaviate

Must have

1. 4+ years of relevant software / AI product development experience
2. Hands-on experience building production-grade AI/GenAI applications, not just POCs
3. Strong programming experience in Python
4. Hands-on backend development using FastAPI or similar frameworks
5. Experience building frontend applications using React + TypeScript
6. Hands-on experience with LLMs, GenAI and AI agents / agentic workflows
7. Experience with RAG, including embeddings, vector databases, chunking and retrieval
8. Experience with LangChain, LangGraph or similar AI orchestration frameworks
9. Experience integrating LLM providers/APIs such as OpenAI, Anthropic, Azure OpenAI, Google, Ollama or similar
10. Experience building end-to-end applications frontend, backend, APIs, data layer and deployment
11. Experience working with document-based AI workflows such as PDF, DOCX, Excel or text ingestion
12. Strong understanding of APIs, asynchronous workflows and production debugging
13. Working knowledge of Git/GitHub, Docker, testing and CI/CD

Nice to have

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

Full description