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,