TechOps, Automation, AI, Staff

AI automation engineer building scalable Python, FastAPI, and LangGraph solutions for EY’s global professional services network. Optimizing agent workflows, APIs, databases, and containerized backend systems.

Posted 9/11/2026full-timeKochi • 🇮🇳 IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable REST APIs using FastAPI and developing multi-step agent workflows with LangGraph. Proficient in Python programming, database management with MongoDB and PostgreSQL, and containerization using Docker.

Highest-signal resume keywords

FastAPI API DevelopmentPython ProgrammingMongoDB Schema DesignDocker ContainerizationLangGraph Workflow Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python FundamentalsREST API DevelopmentAsynchronous ProgrammingUnit TestingDatabase ManagementPerformance DebuggingMicroservices ArchitectureAutomation SolutionsToken-Based AuthenticationDependency Management

Soft Skills

CollaborationProblem-SolvingDebugging Capability

Tools & Technologies

Docker ComposeYAMLAWSGCPAzureCI/CD Pipelines

Industry Keywords

AI WorkflowsAgentic SystemsPerformance OptimizationConversation State ManagementLLM-Based Automation

Tech Stack

Tools & technologies

AWSAzureDockerGoogle Cloud PlatformMicroservicesMongoDBPostgresPython

About the role

Key responsibilities & impact

Enhance, optimize, and maintain backend services supporting AI agentic workflows
Build scalable REST APIs using FastAPI with strong validation and asynchronous 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 using pytest or unittest
Design and manage database schemas and integrations for MongoDB and PostgreSQL
Investigate performance issues across backend and agentic systems
Collaborate with EY teams across service lines, geographies, and sectors

Requirements

What you’ll need

Degree in Engineering, IT, or Computer Science
Strong Python fundamentals, including lists, dictionaries, tuples, sets, and OOP
Experience 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
Proven experience building production APIs with FastAPI
Proficiency in async/await, Pydantic models, and token-based authentication
Working knowledge of Docker, Docker Compose, YAML, and container networking
Experience building multi-step LangGraph agent workflows using nodes, edges, and state management
Ability to manage conversation state, context propagation, retries, and fallbacks
Strong debugging capability for agent failures and execution tracing
Experience with microservices architectures
Exposure to AWS, GCP, or Azure
Familiarity with CI/CD pipelines
Experience with LLM-based or AI automation products

Benefits

Comp & perks

Continuous learning and development opportunities
Tools and flexibility to make a meaningful impact
Insights, coaching and confidence-building through transformative leadership
Diverse and inclusive culture
Collaboration with EY teams on exciting projects
Access to an expanding ecosystem of people, learning, skills and insights