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Mid-tier brand, Bangalore location, and mid-level AI/ML backend role create moderate competition.
Requires ML/AI production and backend platform experience, moderately transferable across industries.
Requires explicit 6–10 years, Python and infrastructure experience, making shortlisting moderately strict.
Lead production systems for Context Services, ensuring robust, low-latency APIs and services supporting thousands of concurrent users with sub-second response times.
Serve as the technical bridge between Applied Scientists/AI Engineers and the Platform Engineering team to translate analytical solutions into production-grade software.
Architect frameworks for AI model serving, vector databases, and agentic workflows with reliable state management and prompt tracking.
6–10 years industry experience in Software Engineering, Backend Engineering, or Systems Engineering with exposure to AI, ML, or LLM-based production systems.
Strong proficiency in Python and experience with high-concurrency applications, asynchronous programming, or REST/gRPC APIs.
Solid understanding of containerization (Docker) and deployment environments such as Kubernetes or cloud platforms.
Work Experience Required: 6–10 years
Experienced in designing scalable, low-latency system architectures for AI/ML production services.
Skilled in cross-functional collaboration bridging AI research teams and platform engineering for reliable deployment.
Familiarity or aptitude to learn AI lifecycle components including model registries, vector databases, and LLM evaluation frameworks.