Deep Tech Stars
Website:
deeptechstars.com
Job details:
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Summary of Job Description
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Job Title: Product Engineer - AI-Native Engineering (6-10 Years)
Location: Bangalore [Work From Office]
Company: A Norwegian Software Company, a client of Deep Tech Stars
Company Overview: The Company builds and manages the technology behind Norway’s public sector management. Their platform is the central nervous system for strategic planning and financial workflows for over 300 municipalities, enabling data-driven decisions that impact the lives of 5.4 million citizens.
When you work at this Company, your code ensures that schools are funded, infrastructure is planned, and public resources are optimized for an entire nation. This isn't just another SaaS product; it's the digital foundation of a society.
Job role: The Company is moving to an AI-native technology development paradigm - you will build production features using AI coding tools (Cursor, Claude Code, GitHub Copilot, Devin) as a core part of the development workflow. With your deep understanding of system design, architecture, APIs, data, testing, and production engineering, you will build multi-agent systems that leverage efficient context engineering and deploy loops and harnesses that are self-improving at scale, following software development best practices for reliability and maintainability.
You will lead the team through the transition to AI-native development as peers, mentoring other product engineers while also learning from their experiments and curiosity. Your work will make the entire engineering team 5x faster. You will work independently as well as with other teams like Product and Design, navigate ambiguity, and own problems end-to-end. This is the future of AI-native software engineering, and here you will get the opportunity to build robust and impactful products.
Experience range: 6–10 years, ideally with C#, SQL, Angular, and TypeScript (Azure a plus), extensive experience with AI tools and frameworks
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Detailed Job Description from the Company
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Product Engineer | AI-Native Engineering | 6 to 10 years of experience | WFO |Bangalore
The Company is looking for a Product Engineer to join our high-performing R&D center in Bangalore. This isn’t a standard dev role—this is for an independent, end-to-end engineer who wants to define the future of AI-native software development.
The Mission:
The Company is a critical pillar of one of Europe's leading software companies. Our mission is direct and high-stakes: we power the technology behind Norway’s public sector management. Our platform is the central nervous system for strategic planning and financial workflows for over 300 municipalities, enabling data-driven decisions that impact the lives of 5.4 million citizens.
When you build here, your code ensures that schools are funded, infrastructure is planned, and public resources are optimized for an entire nation. This isn't just another SaaS product; it's the digital foundation of a society.
The Role: Autonomy & AI-First Development
We are moving past the era of "manual" coding. At this Company, you aren't just writing lines of code; you are orchestrating an AI-driven factory. We expect you to be a power user of the AI-native stack—Cursor, Claude Code, GitHub Copilot, and agentic frameworks.
You won't spend your time on boilerplate. Instead, you will engineer the context, prompts, and architectural guardrails that allow AI agents to generate high-quality, production-ready systems. Your role is to elevate the engineering process itself, shifting focus from "how to type" to "how to design" robust, self-healing systems.
· Build AI-first: Use AI coding agents and tools such as Cursor, Claude Code, GitHub Copilot, Devin, or Windsurf as a core part of your development workflow.
· Build for scale: Make strong decisions across architecture, APIs, data, security, performance, and technical debt.
· Engineer the context: Create the documentation, standards, prompts, and guardrails that help AI agents produce reliable, production-ready code.
· Own quality: Drive automated testing, CI/CD, observability, code quality, and production reliability.
· Build with AI: Apply LLMs, RAG, prompt engineering, and model evaluation to build and assess AI-powered product experiences.
· Shape the product: Partner closely with Product and Design, bring technical thinking into discovery, and turn prototypes into production with speed and clarity.
The Engineering Culture: Deep Focus over Shallow Output
We despise "the feature factory." Our Bangalore R&D center is a high-trust, low-overhead environment designed for engineers who love their craft. We prioritize deep work and systems thinking. You will find a flat hierarchy where the best idea wins, regardless of tenure.
We actively encourage "breaking things" in the pursuit of better LLM orchestration and agentic design paradigms. If you are the type of engineer who spends their weekends experimenting with new model evaluations or building custom CLI tools to automate your own job, you will be among peers here.
What You’ll Bring
· Education: Any professional technical graduation or masters
· 6+ years of engineering excellence, ideally with C#, SQL, Angular, and TypeScript (Azure is a plus).
· Good at problem solving -> abstract statements/ideas, curious soul and ability to learn quickly and agile.
You are a perfect fit if you:
· Have strong experience in system design, architecture, APIs, data, testing, and production engineering.
· Can work independently, navigate ambiguity, and own problems end-to-end.
· See AI coding agents as a force multiplier, not just autocomplete.
· Enjoy experimenting with new AI tools, workflows, and ways of working.
· Treat AI coding agents (Cursor, Claude Code, Copilot) as force multipliers, not just autocomplete.
· Care deeply about quality, reliability, and maintainability, even when moving fast.
· Care deeply about engineering-first culture—prioritizing systems thinking and technical debt management.
· You possess a natural drive to automate your own job—building custom tooling, CLI wrappers, and context pipelines that make the entire engineering team 5x faster.
· You believe AI code generation requires higher, not lower, engineering standards, and you know how to build deterministic test pipelines and observability to keep production bulletproof.
· You treat developer tooling as a high-value software asset, constantly refining context-retrieval mechanisms and AI workflows to maximize deep-work time.
Our Culture: Built on the following core three values:
· Reliable – We deliver with ownership, quality and integrity.
· Helpful – We succeed by supporting each other and our customers.
· Engaged – We stay curious, take initiative and continuously improve.
Click on Apply to know more.
