Lead Software Engineer(Backend+Native AI)

Role:Lead Software Engineer (Backend+Native AI) (9-12 Years)

Location:Bangalore

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), Automotive

Enterprise Cloud (AEC), and Auto Location motive Partner Cloud (APC). Tekion

connects the entire spectrum of the automotive retail ecosystem through one seamless

platform. 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

• 9+ 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

• Proven experience leading and mentoring engineering teams, driving technical excellence, architectural decisions, and successful project delivery.

• 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.