Role description

We are looking for an experienced AI/ML Engineer with strong software engineering and AWS expertise to build, integrate, and operate production-grade AI and data services. The ideal candidate will have hands-on experience with Python, AWS, Generative AI/LLM applications, APIs, CI/CD, containerization, and infrastructure-as-code.

Key Responsibilities

- Design, develop, and operate scalable production services on AWS.
- Build AI/ML and LLM-powered applications using modern application patterns.
- Develop and integrate APIs and services that expose data, tools, and AI capabilities to client applications.
- Implement retrieval-augmented generation (RAG), prompt orchestration, tool use, and search/retrieval solutions.
- Develop and maintain CI/CD pipelines and automated deployment processes.
- Build containerized applications using Docker and implement infrastructure using IaC.
- Integrate AI agents and tool ecosystems using MCP or comparable frameworks.
- Work with knowledge graphs, context graphs, and graph databases where applicable.
- Develop evaluation and retrieval pipelines to measure and improve AI application quality.
- Collaborate with engineering, data, AI/ML, DevOps, and other cross-functional teams.
- Work independently within an existing architecture and codebase and deliver solutions with minimal supervision.

Mandatory Skills & Experience
- 6+ years of professional experience in software, data, or AI/ML engineering.
- 3+ years of hands-on experience building and operating production services on AWS.
- Strong proficiency in Python with solid software engineering fundamentals,



including testing, code reviews, and version control.
- Hands-on experience with AWS services such as:
- Amazon Bedrock
- AWS Lambda
- Amazon ECR
- Amazon S3
- API Gateway
- IAM
- CloudWatch

- Experience designing and integrating APIs and backend services.
- Working knowledge of LLM application patterns, including:

- Retrieval-Augmented Generation (RAG)
- Prompt orchestration
- Tool/function calling
- AI agent integration

- Strong understanding of CI/CD and containerization, particularly Docker.
- Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with Infrastructure-as-Code using AWS CDK, Terraform, or CloudFormation.
- Strong communication and collaboration skills.
- Ability to quickly understand an existing architecture/codebase and contribute independently.

Preferred / Good-to-Have Skills
- Hands-on experience with Model Context Protocol (MCP) or similar agent/tool integration frameworks.
- Experience with Amazon Bedrock AgentCore Gateway or Runtime.
- Experience with knowledge graphs, context graphs, or graph databases.
- Experience building or optimizing search and retrieval systems and evaluation pipelines.
- Strong hands-on experience with AWS CDK and GitHub Actions.




- Familiarity with AI governance, model evaluation, and compliance frameworks.
- Experience with software supply-chain security.
- Experience with multi-tenant cost attribution and cost optimization at scale.
- Contributions to open-source AI platforms, MCP projects, or DevOps tooling.

Key Technologies Python | AWS | Amazon Bedrock | Bedrock AgentCore | Lambda | ECR | S3 | API Gateway | IAM | CloudWatch | MCP | RAG | LLMs | AI Agents | Docker | GitHub Actions | Jenkins | AWS CDK | Terraform | CloudFormation | Knowledge Graphs | Search & Retrieval

Ideal Candidate Profile The ideal candidate is a hands-on engineer rather than an architect, with strong coding and implementation experience across Python, AWS, Generative AI/LLMs, APIs, DevOps, and cloud-native services. Experience with MCP, Bedrock AgentCore, RAG, knowledge graphs, and AI evaluation will be a robust advantage.

Skills

AWS, AWS CloudFormation, Amazon CloudWatch

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation.

With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

📌 AI/ML Engineer – AWS & Python (Kolkata)
🏢 UST
📍 Kolkata