Roles & Responsibilities

- Design and implement moderately complex features with minimal supervision
- Contribute to system design discussions and provide input on architecture decisions
- Actively use AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) to accelerate development — scaffolding features, writing tests, reviewing code, and debugging
- Leverage AI tooling to iterate quickly, reduce boilerplate, and ship production-ready code at higher velocity
- Critically evaluate AI-generated code for correctness, security, and adherence to team standards before merging
- Debug and troubleshoot efficiently, with well-reasoned solutions
- The engineer will own business-critical components and services powering key use cases for customers

Ideal Candidate

- Strong Backend Software Engineer Profile with strong Core Java expertise
- Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.
- Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.
- Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.
- Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, explicit coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.
- Mandatory (Tech skill 2):



Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).
- Mandatory (AI Fluency): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging — with the ability to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.
- Mandatory (Database): Hands-on database / JDBC integration experience in a production environment.
- Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).
- Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)
- Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)
- Preferred (AI-Native): Must have actually built and deployed AI/LLM-powered features in production (e.g. RAG, LLM-based scoring, AI assistant) — demonstrable AI-native engineering, not merely using AI tools to write code.
- Preferred (Backend): Hands-on Python experience is a plus.
- Preferred (Microservices): Microservices experience is good to have but not a must. The connector work is JDBC / driver-integration heavy rather than microservices-based, so strong backend and integration depth is weighted higher; candidates without microservices exposure still qualify.

Experience: 2–6 years · Hybrid, 2 days in office · 5 days a week · Notice period less than 15 days · Also in: Bengaluru, Ahmedabad

📌 AI Native Backend Engineer (Core Java, 3 Months Contract) (Chennai)
🏢 Alation
📍 Chennai