About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

Key Responsibilities :

• Design and build production-grade AI platform services — LLM gateways, MCP servers, and agent orchestration frameworks

• Lead the design and implementation of Tekion's AI gateway — a unified abstraction layer for multi-provider LLM access with intelligent routing, fallback, cost optimization, token budgeting, and comprehensive observability

• Design and implement MCP (Model Context Protocol) infrastructure • Design agentic AI patterns — multi-step reasoning workflows, tool orchestration, guardrails, and human-in-the-loop escalation paths

• Take end-to-end ownership of critical platform subsystems

• Solve complex performance bottlenecks across inference and orchestration layers

• Mentor junior and mid-level engineers • Communicate and collaborate with management, product, QA, UI/UX, and AI/ML teams

• Deliver with quality, on time, in a fast-paced start-up environment

Skills & Qualifications :

• Bachelor/Master's in Computer Science or relevant fields

• 5+ years of relevant software engineering experience

• Strong sense of ownership

• Excellent Java and object-oriented development skills

• Experience in building and scaling microservices

• Strong problem-solving skills, technical troubleshooting, and diagnosing

• Expected to be a role model for young engineers with a strong sense of code quality and enforce code quality within the team

• Strong knowledge in RDBMS and NoSQL technologies • Experience in developing backends for enterprise systems (eCommerce / manufacturing / supply chain, etc.)

• Excellent understanding of debugging, performance, and optimization techniques

• Experience with Java, MongoDB, MySQL, AWS technologies, ELK stack, Spring Boot, Kafka • Experience in developing large-scale cloud-native applications

• Strong understanding of LLM fundamentals

• Experience with or strong knowledge of MCP (Model Context Protocol) — designing tool schemas, building MCP servers, tool discovery, and integrating MCP into agentic workflows

• Understanding of AI gateway architecture — multi-provider LLM routing, semantic caching, load balancing, token tracking, cost allocation, fallback chains, and request/response logging

• Familiarity with agentic AI frameworks — LangChain/LangGraph, LlamaIndex, CrewAI, OpenAI Agents SDK, or similar orchestration tools

• Experience with LLM observability and evaluation — tracing (LangSmith, OpenTelemetry), LLM-as-judge evaluation, cost and latency monitoring

• Understanding of AI safety and guardrails — input/output validation, PII detection, content filtering, and hallucination mitigation

• Demonstrated ability to deliver in a fast-paced environment

• Good communication skills

Effective 4 Aug 2026, Current Tekion Employees should apply via the Internal Job Board in Ashby

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice here.