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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement generative and agentic AI solutions for regulatory risk compliance and internal controls in client settings.
Apply responsible AI and governance practices while driving AI system lifecycle management including DevOps and MLOps.
Analyze regulatory and compliance workflows, develop AI-powered monitoring and reporting tools, and mentor junior team members on AI applications.
Minimum Requirements
Bachelor's degree required; B.E/B.Tech preferred.
5-8 years of relevant professional experience required.
Strong hands-on Python skills including async programming, type hints, Pydantic v2, and building FastAPI services with versioned APIs.
Proven experience developing LLM applications with schema validation, handling malformed responses, and retries.
Ideal Candidate Profile
Experienced in deploying generative AI systems to production with understanding of trade-offs on quality, latency, cost, and scalability.
Familiarity with OCR technologies, prompt engineering, LLM security, AI-human collaboration, and regulatory risk environments.
Skilled in integrating AI workflows with enterprise platforms and CI/CD tools such as Docker, Kubernetes, GitHub Actions.