Job Summary

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The prospect

This role offers the opportunity to enhance, support, and scale AI agentic solutions built using Python, FastAPI, and LangGraph. As a Senior AI Automation Engineer, you will play also play a key role in identifying automation opportunities, improving existing agent workflows, and strengthening backend services that power intelligent, automated AI systems.

Your key responsibilities

- Enhance, optimize, and maintain backend services supporting AI agentic workflows
- Build scalable REST APIs using FastAPI with strong validation and async features
- Develop, refine, and troubleshoot multi-step agent workflows using LangGraph
- Identify automation opportunities across AI applications and implement scalable solutions
- Containerize and deploy services using Docker and Docker Compose
- Write clean, maintainable Python code with robust unit tests (pytest/unittest)
- Design and manage database schemas and integrations for MongoDB and PostgreSQL
- Investigate performance issues across backend and agentic systems

Skills and attributes for success
- Strong analytical mindset with the ability to spot automation opportunities
- Deep debugging capability across backend services and AI agent workflows




- Ability to design modular, scalable backend components
- Proactive ownership and strong collaboration skills
- Comfort working in fast-paced, innovative AI environments

To qualify for the role, you must have
- Degree in Engineering, IT, Computer Science
- Core Python
- Strong foundation in Lists, Dictionaries, Tuples, Sets, and OOP (classes, inheritance, composition).
- Experience in writing modular, performant code with profiling and debugging skills.
- Knowledge of virtual environments, dependency management, and unit testing.
- Hands-on experience with MongoDB and PostgreSQL schema design.

- FastAPI & Backend Development

- Proven experience building production APIs with FastAPI.
- Proficiency in async/await, Pydantic models, and token-based authentication.
- Working knowledge of Docker, Docker Compose, YAML setups, and container networking.

- LangGraph

- Experience building multi-step agent workflows (nodes, edges, state management).
- Ability to manage conversation state, context propagation, retries, and fallbacks.
- Strong debugging capability for agent failures and execution tracing.

Ideally, youll also have
- Experience with microservices architectures.
- Exposure to cloud platforms (AWS/GCP/Azure).
- Familiarity with CI/CD pipelines.
- Experience with LLM-based or AI automation products.

What we look for
- A problem-solver passionate about AI-driven automation.
- Someone who takes ownership and thrives in innovative environments.
- A team player committed to building scalable AI systems with precision and quality.

📌 TechOps-DE-Automation-AI-Staff (Kochi)
🏢 EY
📍 Kochi