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