Weekday

Senior Software Engineer (Java)

Weekday · Bengaluru, Karnataka, India · ₹4M–₹5M/yr

Retail Apparel and Fashion · 501-1,000 employees

Yesterday
Senior (5-10 yrs) Full-time India
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About the role

Design and build production-grade AI platform services, including LLM gateways and agent orchestration frameworks. Take end-to-end ownership of critical platform subsystems while mentoring junior and mid-level engineers.

What they look for

Java Spring Boot Agentic AI Kafka Microservices MongoDB MySQL AWS ELK Stack LLM Gateway Model Context Protocol LangChain LlamaIndex RDBMS NoSQL Cloud-native Applications

Requirements

Requires 5+ years of software engineering experience with strong expertise in Java, Spring Boot, and building scalable microservices. Candidates must have a strong understanding of LLM fundamentals and experience with agentic AI frameworks.

Full description

This role is for one of our clients

Company Name: Tekion

Industry: Software Development

Seniority level: Mid-Senior level

Experience: 5+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

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\n₹35,00,000 - ₹50,00,000 a year

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 intelligentrouting,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

About the company

Tekion is redefining automotive retail with an end-to-end, AI-native platform purpose-built for the industry. With AI built into every workflow, Tekion delivers intelligent automation, real-time insights, and advanced decision support—driving measurable efficiency, revenue, and modern consumer

Must-have skills

Java, Spring Boot, agentic Ai

Good-to-have skills

Kafka

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