Chennai
Java
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Tekion
Tekion is an end-to-end, AI-native automotive retail platform that unifies dealership operations — DMS, CRM, digital retail, service, payments and analytics — on a single cloud-based operating system. Tekion powers 3,000+ dealerships and has processed $43B+ in transactions.
Responsibilities:
- Design and build scalable, high-performance Java services and agentic microservices powering Tekion's AI platform.
- Develop and integrate LLM-based agent pipelines using LangChain, LangGraph, and LangFlow from prompt design through production deployment.
- Implement vector-based semantic search and knowledge retrieval using Qdrant, and model complex domain relationships using Neo4j graph databases.
- Build and maintain durable, fault-tolerant async workflows using Temporal, ensuring reliable execution of long-running agent orchestration tasks.
- Architect and implement multi-agent orchestration patterns for routing, tool use, memory management, and agent chaining across conversational and batch workloads.
- Establish and maintain observability standards: distributed tracing, structured logging, LLM call telemetry, latency dashboards, and cost-per-call monitoring.
- Lead feature development end-to-end from technical design through code review, QA sign-off, and production rollout.
- Collaborate with architects and senior engineers to influence system design and platform strategy.
- Mentor junior and mid-level engineers; conduct rigorous code reviews; drive adoption of engineering best practices across the team.
- Proactively identify performance bottlenecks, security gaps, and reliability risks in development and production environments.
- Champion quality, contribute to test strategy, promote TDD/BDD practices, and ensure adequate coverage across unit, integration, and contract tests.
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