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Sr Software Engineer / Software Engineering Lead

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Onsite

Sr Software Engineer / Software Engineering Lead

Aivar Innovations

Sr Software Engineer / Software Engineering Lead

Skills

TypescriptPythonGolangJavaMicroservicesAWS LambdaGitLabAIAWSGitHubKubernetesNo-code AutomationsCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 September 2026

What they need


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 Aivars accelerator platforms across regulated industries.

What Youll 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 Were 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

Youre 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,

Required Skills

Amazon Kiro AI SDLC GitHub Copilot MCP connectors Claude Code,

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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