AI Agent Developer

Iitjobs Inc.; Kollam, Hyderabad, Bengaluru; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Leading Global Company is seeking an AI Agent Developer to translate workflow requirements into secure, maintainable agent solutions. You will work with the AI Architect and Product Owner to move agents from prototype to production, including integration with enterprise systems.

The role covers building tool-enabled AI agents, handling prompts, orchestration, and robust reliability, with hybrid work and occasional travel to co-located teams in Pune, Hyderabad, and Bangalore.

Qualifications

• Hands-on software development experience in Python or TypeScript.
• Experience building tool-enabled AI agents with prompts and orchestration.
• Experience with REST APIs, OAuth and databases in enterprise environments.

Responsibilities

• Workflow implementation: translate business processes into agent logic, steps and tasks.
• Agent development and orchestration: build agents with prompts, tool calls, state management and error handling.
• RAG and enterprise knowledge: document ingestion, embeddings, retrieval with citations and access control.

Skills

Python

TypeScript

CI/CD

Version control

Code reviews

Automated testing

Tools

REST APIs

OAuth

SQL

NoSQL

Job description

We are looking for a hands-on AI Agent Developer for a Leading Global Company that provides enterprise technology solutions to build, integrate and support AI agents that execute defined business workflows. Working closely with the AI Architect and Product Owner, this person will translate workflow requirements and approved architecture into reliable, secure and maintainable solutions, taking agents from prototype through testing, production deployment and continuous improvement.

AI Agent Developer

Pune, Hyderabad, Bangalore

Hybrid (need to travel for co-location as and when required)

Key responsibilities

Workflow implementation. Work with the Product Owner to understand business processes, user needs, exceptions and acceptance criteria. Translate these into agent logic, workflow steps and technical implementation tasks, aligned with the AI Architects design.

Agent development and orchestration. Build agents using prompts, tool calling and workflow orchestration. Implement state management, routing, validation, retries, timeouts and fallback paths, including human review and approval where required. Develop connectors and tools to interact with enterprise applications and APIs.

RAG and enterprise knowledge. Implement document ingestion, chunking, embeddings, retrieval and grounded responses with source citations where needed. Apply source access permissions and support updates to keep agent knowledge current.

Required experience and skills

Software development. Strong hands-on development skills in Python or TypeScript, with experience building maintainable applications using version control, code reviews, automated testing and CI/CD.

LLMs and agent development. Practical experience building tool-enabled AI agents, including prompting, structured outputs, context management and orchestration. Understanding of model limitations, unreliable outputs and agent failure modes.

APIs and integration. Experience with REST APIs, authentication methods such as OAuth, SQL/NoSQL databases and asynchronous processing. Ability to build reliable integrations with existing enterprise systems. environment.