Source description
About the role
Client: TCS | Engagement: Full-time | Work mode: ONSITE | Experience: 4-6 | Publisher job id: JOB-000042
Role Overview
This role involves designing, developing, and supporting cloud-native automation and AI agent workflows. The successful candidate will utilize Python, RPA, and LLM orchestration frameworks such as LangChain and LangGraph, with deployments on AWS using containerized architectures.
Key Responsibilities:
Build AI agents using LangChain and LangGraph to orchestrate tools, APIs, and workflows.
Integrate automations with enterprise systems via REST APIs and databases.
Containerize services using Docker and support CI/CD pipelines.
Deploy and operate solutions on AWS, including services like IAM, S3, Lambda, ECS/Fargate, and CloudWatch.
Implement logging, error handling, and basic monitoring for deployed solutions.
Collaborate effectively with onshore architects and adhere to defined architecture standards.
Required Skills:
Proficiency in Python for automation and backend services.
Experience with JavaScript/TypeScript.
Hands-on experience with LangChain and/or LangGraph.
Knowledge of Docker and container-based deployments.
AWS Cloud Practitioner-level knowledge with practical exposure to AWS services (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
Familiarity with RPA (Robotic Process Automation).
Experience with LLM orchestration frameworks.
Ability to integrate with enterprise systems via REST APIs and databases.
Understanding of CI/CD pipelines.
Skills in implementing logging, error handling
Qualifications
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4-6 years of relevant experience.
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Preferred Skills:
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None specified.
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