Agentic AI Software Engineer

Tredence; Pune District, Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tredence is seeking an AI Engineer (Python) to design, develop, and deploy AI-powered applications using Python, FastAPI, and LangGraph. You will build scalable APIs, integrate with AWS cloud services, and implement tool calling and multi-agent workflows.

You will work with cross-functional teams to define AI solution architectures, optimize prompts, evaluate LLM performance, and ensure security, observability, and maintainability across deployments.

Qualifications

• Strong 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.

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 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.

Skills

Python

FastAPI

Agentic AI

Multi-Agent workflows

Tool Calling

Prompt Engineering

LLM Evaluation

AWS Cloud Services

Terraform

AI Solution Architecture

Workflow Automation

System Integration

Tools

Docker

Kubernetes

Git

LangChain

FAISS

Chroma

Pinecone

Job description

AI Engineer (Python)

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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

• Strong 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