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Tier-1 bank, metro Bangalore, and broad senior AI/cloud skillset create high applicant competition.
Specialized agentic LLM, LangChain, and evaluation expertise limits cross-industry transferability.
Mandatory 10–15 years plus extensive ML, cloud, and DevOps stack enforces high shortlisting strictness.
Design and deliver production-grade Agentic AI solutions using Python and relevant SDKs, including multi-agent workflows and autonomous reasoning systems.
Develop and maintain backend services and APIs; implement observability and evaluation frameworks for AI agents.
Lead technical standards, code quality, mentoring, and adoption of emerging Agentic AI tools within the team.
10-15 years of experience in advanced Python engineering and related technologies.
Proficient with Python frameworks (FastAPI/Flask/Django), microservices, security standards (OAuth2/JWT, OWASP).
Experience with DevOps practices: CI/CD, containerization (Docker, Kubernetes/ECS), Terraform/CDK, AWS services (Lambda, ECS, S3, RDS, API Gateway).
Bachelor’s degree in Engineering or equivalent graduation.
Senior engineer with deep expertise in Python and Agentic AI frameworks like LangGraph, LangChain, and Agent SDKs (OpenAI/Bedrock).
Experienced in designing and operating multi-agent orchestration, monitoring, and evaluation pipelines for AI systems.
Able to lead and mentor teams, enforce engineering standards, and drive adoption of new AI tools and DevOps best practices in a cloud environment.