AI ENGINEERING SPECIALIST - Python

• Design and develop Generative AI solutions using Python and LangChain.
• Build and optimize RAG-based applications using vector databases.
• Develop AI agents and multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, and other LLM models into business applications.
• Develop REST APIs and microservices for AI applications using FastAPI or Flask.
• Create prompt engineering strategies to improve model responses and accuracy.
• Implement document processing pipelines for PDFs, Word documents, emails, and structured/unstructured data.
• Work with embeddings, semantic search, vector databases, and knowledge retrieval systems.
• Collaborate with business stakeholders, architects, and data scientists to translate business requirements into AI-powered solutions.
• Optimize AI applications for scalability, security, performance, and cost efficiency.
• Monitor model performance and continuously improve AI workflows.

Required SkillsTechnical Skills

• Strong programming experience in Python.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
• Experience with LLMs such as OpenAI GPT, Azure OpenAI, Claude, Gemini, Llama, Mistral, etc.
• Knowledge of RAG Architecture and semantic search implementations.
• Experience with Vector Databases:
  • Pinecone
  • ChromaDB
  • Weaviate
  • FAISS
  • Azure AI Search
• Proficiency in API development using FastAPI or Flask.
• Understanding of Prompt Engineering, Function Calling, and Tool Integration.
• Experience with databases such as PostgreSQL, MongoDB, SQL Server, or Cosmos DB.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and Git.
• Experience working on Azure, AWS, or GCP cloud platforms.

Preferred Skills

• Experience with Agentic AI and Autonomous AI Agents.
• Knowledge of MCP (Model Context Protocol).
• Experience with Graph Databases such as Neo4j.
• Knowledge of Knowledge Graphs and Ontology models.
• Hands-on experience with Azure AI Studio, Azure Machine Learning, or Databricks.
• Exposure to NLP, Machine Learning, and Deep Learning concepts.
• Experience in chatbot, virtual assistant, or enterprise AI solution development.