Agentic AI Developer

Orbion Infotech; Chennai; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Orbion Infotech is seeking an experienced Agentic AI Developer to build, orchestrate, and deploy AI agents in a hybrid work setup across Chennai, Coimbatore, Bengaluru and Pune. You will leverage Python, FastAPI, and GenAI to develop scalable, production‑ready AI solutions and collaborate with cross‑functional teams in an Agile environment.

The role requires strong software engineering fundamentals, knowledge of ML/LLM technologies, and hands‑on experience with agent harnessing, tooling, and

Qualifications

• 8+ years of hands-on Python development experience.
• 4+ years working with Generative AI technologies.
• 2-3+ years in Agentic AI / AI Agent development.
• Experience building and deploying AI agents in production.

Responsibilities

• Design, develop, and deploy Agentic AI solutions for enterprise use cases.
• Build intelligent AI agents capable of reasoning, tool usage, and workflow orchestration.
• Develop multi-agent workflows and agent harnessing with tool calls and memory management.
• Implement scalable AI/ML systems and integrate with cloud services.
• Collaborate with product, engineering, and data teams in an Agile environment.
• Follow best practices: clean code, testing, CI/CD, and version control.
• Evaluate new Agentic AI technologies and apply to business use cases.

Skills

Python development

Generative AI

Agentic AI / AI Agent development

LLM-based applications

FastAPI

REST API development

Agile / Scrum

Cloud deployment

Education

Bachelor's or Master’s in CS/Engineering

Tools

FastAPI

APIs & tool integration

Job description

Agentic AI Developer - Experience: 8+ years; Location: Chennai / Coimbatore / Bangalore / Pune; Work mode: Hybrid.

Job Summary

We are looking for an experienced Agentic AI Developer with strong expertise in Python, Generative AI, and Agentic AI technologies. The ideal candidate will have hands‑on experience in building, orchestrating, and deploying AI agents and developing scalable, production‑ready AI solutions. The candidate should have strong software engineering fundamentals, good knowledge of Machine Learning and LLM‑based applications, and the ability to work collaboratively in an Agile environment.

Responsibilities

• Design, develop, and deploy Agentic AI solutions for enterprise use cases.
• Build intelligent AI agents capable of reasoning, tool usage, task execution, and workflow orchestration.
• Develop and implement multi‑agent and agentic workflows using relevant frameworks and technologies.
• Work hands‑on with agent harnessing and orchestration concepts, including tool calling, memory, context management, and agent workflows.
• Develop scalable and production‑grade applications using Python and FastAPI.
• Integrate LLMs, APIs, tools, databases, and external services with AI agents.
• Design and implement reliable and scalable AI/ML systems.
• Deploy and manage AI agents and GenAI applications in cloud environments.
• Collaborate with product, engineering, and data teams to understand requirements and deliver AI‑powered solutions.
• Follow software engineering best practices including clean coding, testing, debugging, version control, and CI/CD.
• Participate in Agile ceremonies and contribute to technical design and solution discussions.
• Evaluate emerging Agentic AI and GenAI technologies and apply them to relevant business use cases.

Required Skills

• 8+ years of strong hands‑on experience in Python development.
• 4+ years of experience in Generative AI technologies.
• 2-3+ years of hands‑on experience in Agentic AI / AI Agent development.
• Strong hands‑on experience in building and deploying AI agents.
• Strong understanding of Agent Harnessing, Agent Orchestration, and agentic workflows.
• Experience with LLMs and LLM‑based application development.
• Strong experience with FastAPI and REST API development.
• Good understanding of Machine Learning concepts.
• Strong software engineering and problem‑solving skills.
• Experience in designing and developing scalable systems.
• Exposure to GCP / Google Cloud Platform is preferred.
• Experience working in Agile / Scrum environments.
• Exposure to modern AI‑assisted coding and developer productivity tools.
• Excellent verbal and written communication skills.