Job description

Role: Senior Software Engineer / Software Engineering Lead

Location: Bengaluru, / Coimbatore India (Hybrid)

About Aivar Innovations

Aivar Innovations is the AI Studio for Enterprises — a GenAI-first, AWS Preferred studio founded by former AWS leaders and backed by Bessemer Venture Partners and Sorin Investments. We serve 100+ enterprise customers across fintech, life sciences, healthcare, and manufacturing across four geographies.

We build production-grade AI systems that run at enterprise scale — not pilots, not proofs of concept. Our three accelerators power everything we deliver:

Convogent — Conversational & Voice AI
Velogent — Agentic Workflow Automation
Kubogent — Kubernetes-Native AI Infrastructure

At Aivar, AI is not a bolt-on. It is how we engineer, how we deliver, and what we build.

The Role

We are hiring Senior Software Engineers and Software Engineering Leads who have completed the full SDLC the AI-native way — where agentic tools are core contributors, not assistants. You will own delivery end-to-end, work directly with enterprise customers, and contribute to Aivar's accelerator platforms across regulated industries.

What You'll Do

Own end-to-end delivery using spec-driven agentic workflows — Requirements → Design → Tasks → Implementation → Deployment
Build and contribute to Convogent, Velogent, and Kubogent accelerator platforms
Lead agile delivery including sprint planning, backlog grooming, and stakeholder reporting on client-facing engagements
Manage distributed delivery teams within fixed-price, milestone-gated engagements (Lead level)
Design and implement Amazon Bedrock Knowledge Bases and RAG retrieval pipelines for enterprise customers
Build MCP connectors integrating requirements, GitLab, and enterprise tools into the AI-native pipeline
Implement verification & validation hooks and automated traceability gates in regulated software pipelines
Ingest compliance and regulatory documents — DHF, traceability matrices, V&V protocols — into knowledge bases and RAG systems
Build developer hooks — lint, type-check, security scanning — wired into CI/CD pipelines
Mentor and guide engineers on AI-native engineering practices (Lead level)

What We're Looking For

Experience

5+ years in software development across the full SDLC
1+ year of end-to-end AI SDLC experience — shipped in production, not just explored
Experience delivering on client-facing consulting engagements in regulated industries (fintech, healthcare, life sciences, or manufacturing) preferred

AI-Native Tooling — hands-on with 2 or more, used in production:

Amazon Kiro, Claude Code, Codex, Cursor, GitHub Copilot, Google Gemini

Technical Skills

Proficient in Python, TypeScript, Java, or Go
Hands-on with AWS — Bedrock, Knowledge Bases, Agents, Lambda, EKS
Experience with microservices, REST APIs, and GitLab / CI/CD pipelines
Understanding of LLMs, RAG, prompt engineering, and agentic system design
Familiarity with MCP (Model Context Protocol) connector development
Exposure to regulated software pipelines with V&V, traceability, and compliance requirements is a strong plus

You're a Strong Fit If

You have authored steering files and spec documents as part of an AI-native SDLC
You have built or configured Amazon Bedrock RAG pipelines end-to-end
You have delivered a complete feature or module autonomously using an AI coding agent
You have worked with compliance or regulatory document ingestion into knowledge bases
You understand the real challenges of AI-native delivery — context management, agent failure modes, hallucinations — and have strategies to handle them

Why Aivar

Funded startup with real enterprise customers and production deployments
Founding team from AWS leadership
Work at the cutting edge of AI-native engineering — the tools and practices you use here are where the industry is heading
High ownership, fast-moving,

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