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Metro Bengaluru location and mid-level title increase competition, while niche LLM-platform skills moderately reduce density.
Backend microservices skills are transferable, but specialized LLM-platform and agentic AI experience increases domain specificity.
Explicit 5+ years plus mandatory Java/microservices and LLM-platform skills create strict filtering criteria.
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Design and build production-grade AI platform services including LLM gateways, MCP servers, and agent orchestration frameworks.
Lead the design and implementation of Tekion's AI gateway for multi-provider LLM access with features such as routing, fallback, cost optimization, and observability.
Take end-to-end ownership of critical platform subsystems, solve performance bottlenecks, and mentor junior and mid-level engineers.
5+ years of relevant software engineering experience.
Proficient in Java and Object-Oriented programming with experience in building and scaling microservices.
Experience with Java, Spring Boot, MongoDB, MySQL, AWS, ELK stack, Kafka, and strong understanding of LLM fundamentals and MCP design.
Bachelor's or Master's degree in computer science or relevant fields.
Experienced in designing cloud-native large-scale backend applications with AI/ML integration and agentic AI frameworks.
Strong technical leadership qualities demonstrated by mentoring engineers and enforcing code quality.
Familiarity with AI gateway architecture, LLM observability, performance optimization, and AI safety implementations including guardrails and content filtering.