Data Developer

Role & responsibilities

• Design and build modular AI solutions using Lang Chain, Semantic Kernel, or custom pipelines
• Develop APIs and AI agents for enterprise use cases
• Translate business requirements into scalable AI solutions
• Build ingestion pipelines and integrate enterprise data sources
• Implement embedding, reranking, and retrieval strategies for RAG pipelines
• Enforce structured outputs using Pydantic, function calling, or similar techniques
• Containerize and deploy solutions using Docker and CI/CD pipelines
• Monitor performance metrics and continuously improve system quality

Preferred candidate profile

• Strong Python skills with experience in AI frameworks (LangChain, Transformers, OpenAI SDK, LLaMA APIs)
• Hands-on experience with RAG pipelines, embeddings, and prompt design
• Familiarity with Knowledge Graphs (Apache Jena, SPARQL)
• Experience with Vector Databases (Pinecone, Chroma, etc.)
• Knowledge of embedding models (OpenAI Ada, Cohere, BGE/E5) and reranking techniques
• Experience building microservices (FastAPI, Flask)
• Exposure to multi-agent frameworks (LangGraph, CrewAI, AutoGen)
• Understanding of Model Context Protocol (MCP)
• Cloud experience with Azure (AKS, App Service, ACI) and DevOps tools
• Integration experience with enterprise platforms (Outlook, Teams, Salesforce)