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Niche LLM/MLOps senior role narrows pool, but Bangalore metro increases candidate interest.
Highly specialized ML platform and LLM control-plane skills limit cross-industry transferability.
Explicit 8+ years and mandatory MLOps/LLM platform skills create strict filters.
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Own and operate Tekion's LLM control plane and gateway to enable safe, cost-efficient multi-provider large language model usage with SLAs and cost guardrails.
Develop and maintain an AI-native platform integrating multi-source dealership data for real-time intelligence powering contextual agents and classical ML models across automotive retail operations.
Define and implement standards for building, evaluating, deploying, and governing agentic systems, including orchestration, evaluation frameworks, safety guardrails, and multi-model support to impact dealer KPIs like upsell, CSAT, and service revenue.
8+ years experience building large-scale data/ML or platform systems with strong software engineering fundamentals.
Production experience with Python and one of Java/Scala/Go plus microservices and API design expertise.
Hands-on experience with MLOps pipelines, tracking/registry tools (e.g., MLflow), cloud (AWS preferred), containers (Docker/Kubernetes) for multi-tenant SaaS.
Work Experience Required: 8+ years.
Experienced in building and operating LLM gateways/control planes with provider adapters, routing, quota/rate-limit, cost tracking, and caching.
Skilled in agentic systems including tool use/function calling, orchestration, human-in-the-loop safety guardrails, and online evaluation.
Strong background in graph and hybrid retrieval systems (knowledge graphs, GraphQL, vector search) and platform-as-product mindset focused on developer experience, observability, and cost-awareness.