Artificial Intelligence Developer

Role & responsibilities

• 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)

• Design, develop, and deploy modular AI solutions using LLMs, RAG pipelines, and microservices
• Build scalable, reusable AI-in-a-Box” accelerators for enterprise use cases
• Develop APIs and AI agents for use cases such as summarization, Q&A, and chatbot

Preferred candidate profile