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TIAA

Associate – AI/ML Engineer

TIAA

Software Engineer developing backend applications using Python for AI-enabled systems. Building scalable APIs and AWS infrastructure while collaborating with senior engineers and AI specialists.

Posted 5/19/2026full-timeMumbai • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
AWSDockerDynamoDBJenkinsNoSQLPython

About the role

Key responsibilities & impact
  • Design and build scalable backend services and RESTful APIs using Python and modern frameworks, with FastAPI as the primary tool of choice
  • Structure applications for maintainability and testability, implementing proper request validation, error handling, and API versioning
  • Produce clear OpenAPI/Swagger documentation
  • Write clean, well-tested, production code
  • Create and manage AWS Lambda functions for event-driven processing;+ work with services such as S3, DynamoDB, SQS etc.
  • Build and support components of AI-powered systems alongside senior AI engineers
  • Contribute to the development of backend services that power Retrieval-Augmented Generation (RAG) pipelines
  • Integrate with vector databases such as OpenSearch to support similarity search and document retrieval
  • Build APIs that connect application layers to large language model (LLM) endpoints
  • Participate in CI/CD workflows using tools such as Jenkins and ElectricFlow; contribute to code reviews

Requirements

What you’ll need
  • 2+ Years Required; 3+ Years Preferred
  • Strong emphasis on Python
  • Built and deployed backend APIs using FastAPI or a comparable framework
  • Understand how to structure Python projects for scalability and testability
  • Comfortable working with asynchronous programming patterns
  • Solid experience with AWS; particularly with Lambda, S3, DynamoDB, SQS, and API Gateway
  • Independently create and deploy Lambda functions, wire them to event sources, and manage basic IAM permissions and environment configurations
  • Experience with relational or NoSQL databases, including writing efficient queries and thinking about schema design
  • Familiarity with Git-based workflows, CI/CD pipelines, and Docker
  • Exposure to Infrastructure as Code tools such as CloudFormation or CDK is a plus

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
PythonFastAPIRESTful APIsAWS LambdaS3DynamoDBSQSOpenAPIasynchronous programmingCI/CD