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Tier-1 bank, metro locations, and broad ML/AI skillset create very high candidate competition.
Requires specialized LLM/MLOps, agentic AI and financial services knowledge, limiting cross-industry transferability.
Explicit 12+ years, deep LLM/MLOps and enterprise/cloud stack make filters very strict.
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Design, build, and scale enterprise-grade AI/ML solutions including agentic AI systems and LLM applications across multiple business units.
Shape architectural decisions, mentor engineering teams, and ensure AI solutions adhere to reliability, security, and governance standards.
Collaborate cross-functionally to define software requirements, drive technology strategy, and manage risks in alignment with business objectives.
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related discipline.
12+ years software engineering experience designing and building scalable ML infrastructure and end-to-end MLOps systems at enterprise scale.
Expert proficiency in Python (FastAPI, async), Go, or Java with experience in production systems handling high-throughput, low-latency workloads.
Role based in Bengaluru and Pune office; experience with AWS (EC2/EKS, S3, IAM, RDS, AI services), Docker, Kubernetes, distributed systems architecture required.
Senior expert with deep experience in agentic AI systems, LLM fine-tuning, prompt engineering, and modern agentic frameworks (Strands, LangGraph, Google ADK).
Experienced in end-to-end deployment of multi-layered AI workflows at scale and production-ready GenAI/LLM systems.
Able to communicate complex technical architectures effectively to senior leadership and cross-functional stakeholders while managing risk and controls.