AI Engineer

Job Title: Software Engineer AI Engineer / Python Experience

• 5 7 years of overall software engineering experience.
• Minimum 4 years of hands-on experience developing and deploying production-grade applications using Python.
  
  

Key Responsibilities & Technical Skills

• Design, develop, test, and maintain scalable backend applications and APIs using Python and FastAPI or equivalent frameworks.
• Demonstrate strong understanding of asynchronous programming, API architecture, testing, and backend development best practices.
• Build and deploy production-ready GenAI applications using LangChain and LangGraph, with hands-on experience in:
• State management
• Custom tools and tool integration
• Memory management
• Human-in-the-loop workflows
• Integrate and work with LLM APIs, including OpenAI, Anthropic, and Azure OpenAI.
• Implement function/tool calling and structured output to build reliable LLM-powered applications.
• Develop end-to-end Retrieval-Augmented Generation (RAG) solutions, including:
• Data ingestion and preprocessing
• Embedding generation
• Vector database/search implementation
• Retrieval optimization and quality tuning
• Work with both SQL and NoSQL databases, designing and modelling data structures to support application and AI/retrieval use cases.
• Develop and maintain functional front-end interfaces using React and TypeScript, with the ability to independently build and enhance user-facing features.
• Containerize applications using Docker and follow best practices for source control and collaborative development using Git.
• Implement and maintain CI/CD pipelines and support application deployment across cloud environments.
• Collaborate with cross-functional teams to design, develop, test, deploy, and continuously improve AI-powered software solutions.

Required Skills

• Python 4+ years of production experience
• FastAPI / equivalent backend frameworks
• Async programming and API development
• LangChain and LangGraph
• LLM APIs OpenAI / Anthropic / Azure OpenAI
• Function calling / Tool calling / Structured output
• RAG and vector search
• Embeddings and retrieval optimization
• SQL & NoSQL databases
• React & TypeScript
• Docker & Git
• CI/CD
• Cloud deployment
  
  

Preferred Profile

Candidates should have strong hands-on software engineering experience combined with practical GenAI/LLM application development experience, particularly with LangChain, LangGraph, RAG, LLM APIs, and production Python applications.