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Mid-senior AI/ML engineer role in Bangalore with general visibility but specialized ML/LLM infrastructure needs.
Skills in ML model serving and platform engineering are transferable across industries but require ML domain knowledge.
Explicit 6–10 years requirement plus mandatory Python, Kubernetes, and ML infrastructure experience.
Lead development and architecture of production-grade AI/ML software services with low-latency APIs supporting thousands of concurrent users.
Act as technical bridge between Applied Scientists/AI Engineers and Platform Engineering team to build scalable industrial data solutions.
Design and implement frameworks for AI/LLM model serving, vector databases, and agentic workflows ensuring reliability and state management.
6–10 years experience in Software, Backend, or Systems Engineering with exposure to AI, ML, or LLM-based production systems.
Strong proficiency in Python and experience with high-concurrency, asynchronous programming or REST/gRPC APIs.
Experience with containerization (Docker) and deployment environments such as Kubernetes or cloud platforms.
Work Experience Required: 6–10 years in relevant fields.
Experienced in building and scaling complex AI/ML production systems with a focus on reliability and low-latency performance.
Able to collaborate cross-functionally between AI research teams and platform engineering to translate research into scalable solutions.
Comfortable architecting modern AI workflows involving model serving, vector databases, and stateful LLM orchestration frameworks.