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Mid-level GenAI role in metros with a popular AI title and 5-year bar drives high competition.
GenAI engineering skills are transferable, but bank-focused security and compliance needs increase industry sensitivity.
Explicit 5–10 years plus specific LLM, orchestration, security, and observability requirements create stringent shortlisting.
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Design and orchestrate multi-agent AI systems using AutoGen and Pydantic AI focusing on performance, security, and compliance.
Implement RAG pipelines with memory management, prompt engineering, and observability using Langfuse and related tools.
Integrate security protocols including OAuth2/OIDC, RBAC, and PII redaction, and ensure production quality via evals, A/B testing, and monitoring metrics.
5 to 10 years of experience in software engineering with recent hands-on experience in AI/LLM systems.
Proficient in Python and AI-related stacks including AutoGen, Pydantic AI, Langfuse, Redis, and RAG pipeline implementation.
Experience with security and compliance tools like OAuth2/OIDC, JWT, Azure Key Vault or HashiCorp Vault for secrets management.
Work Location: Bangalore, Pune, Hyderabad, or Chennai.
Experienced in building complex AI multi-agent systems with strong operational and security oversight.
Skilled in performance optimization, observability, and quality management within AI production environments.
Comfortable working with compliance-sensitive data and implementing robust guardrails against prompt injection and unauthorized tool usage.