Lead Software Engineer

Tekion Corp; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tekion Corp in Bengaluru, India, seeks a senior software engineer to architect and scale the AI platform. You will design production-grade services, build LLM gateway infrastructure, and lead multi-provider routing with observability. The role emphasizes ownership, mentoring, and delivery in a fast-paced startup environment.

You will work with Java, Spring Boot, databases, AWS, and emerging AI tools, shaping enterprise backends and the MCP framework within Tekion's ARC and AEC ecosystem.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• 9+ years of software engineering experience.
• Strong ownership and leadership capabilities.
• Excellent Java and OO development skills.
• Experience in building and scaling microservices.
• Strong debugging, performance optimization, and troubleshooting skills.
• Knowledge of RDBMS and NoSQL databases.
• Experience with enterprise backends (eCommerce/ manufacturing/ supply chain).
• Familiarity with MCP (Model Context Protocol) and AI gateway architectures.
• Experience with LLM frameworks and observability tools.

Responsibilities

• Design and build production-grade AI platform services — LLM gateways, MCP servers, and agent orchestration frameworks.
• Lead design and implementation of Tekion's AI gateway with multi-provider LLM access, routing, and observability.
• Design MCP infrastructure and agentic AI patterns.
• Own critical platform subsystems end-to-end.
• Resolve performance bottlenecks in inference and orchestration layers.
• Mentor junior and mid-level engineers.
• Collaborate with management, product, QA, UI/UX, and AI/ML teams.
• Deliver high quality work on time in a fast-paced startup environment.

Skills

Java

Microservices

Back-end development

Code quality

Problem solving

LLM fundamentals

AI gateway architecture

Observability

Team mentoring

Ownership

LangChain knowledge

MCP familiarity

Education

Bachelor/Master's in Computer Science or relevant fields

Tools

MongoDB

MySQL

AWS

ELK stack

Spring Boot

Kafka

LangChain/LangGraph

LlamaIndex

CrewAI

OpenAI Agents SDK

Job description

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
• Experience with Java, MongoDB, MySQL, AWS technologies, ELK stack, Spring Boot, Kafka
• 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