Role & responsibilities

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AI Engineer (Python)

Key Responsibilities

- Design, develop, and deploy AI-powered applications using Python.
- Build scalable APIs and microservices using FastAPI.
- Develop Agentic AI solutions and Multi-Agent workflows using frameworks such as LangGraph.
- Implement tool calling, agent orchestration, and external system integrations.
- Design and optimize prompts for LLM-based applications.
- Perform LLM evaluation, benchmarking, and performance monitoring.
- Develop workflow automation solutions leveraging AI capabilities.
- Design and integrate REST APIs and enterprise services.
- Deploy and manage AI solutions on AWS cloud platforms.
- Utilize Terraform for infrastructure provisioning and management.
- Collaborate with cross-functional teams to define and implement AI solution architectures.
- Follow best practices for security,



scalability, observability, and maintainability.

Required Skills

- Solid proficiency in Python.
- Experience with FastAPI and REST API development.
- Knowledge of Agentic AI and Multi-Agent frameworks (LangGraph).
- Hands-on experience with Tool Calling and AI Agent Integration.
- Prompt Engineering for Generative AI applications.
- LLM Evaluation and Benchmarking techniques.
- AWS Cloud Services.
- Terraform (Infrastructure as Code).
- AI Solution Architecture.
- Workflow Automation and System Integration.

Preferred Skills

- LangChain
- RAG (Retrieval-Augmented Generation)
- Vector Databases (FAISS, Chroma, Pinecone)
- Docker and Kubernetes
- CI/CD Pipelines
- Git/GitHub
- AI Observability and Monitoring
- MCP (Model Context Protocol)

Preferred candidate profile

📌 Agentic AI Software Engineer (Pune)
🏢 Tredence
📍 Pune