AI Product Engineer
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Job Summary
At Glow we believe in protecting the dreams of small businesses.
Were building the smartest insurance platform for small businesses combining real human expertise with AI-powered technology to make insurance simple transparent and proactive. Behind every small business is someone who took a risk to build something better. Glow ensures theyre protected so they can grow with confidence and without limits.
Weve raised $24M in Series A funding from world-class investors to power that mission.
Jane runs a 20-person restaurant. Shes busy managing staff customers rising costs and compliance requirements. Insurance is something she only thinks about when something goes wrong.
Glow exists to change that.
Were building the insurance platform for small businesseshelping owners get the right coverage better pricing and proactive support before problems become expensive surprises.
AI is at the center of that mission.
This isnt a chatbot role.
Youll build AI systems that directly impact how small businesses manage risk and insurance:
- Proactive Coverage Intelligence that identifies coverage gaps and opportunities before customers know they exist.
- Risk Advisory Systems that monitor payroll class codes audits and claims trends to surface issues early.
- Pre-Quote & Pre-Underwriting Workflows that help us quote faster and more accurately than competitors.
- 24/7 AI Support Experiences that help customers understand coverage make changes and file claims in plain language.
- Internal AI Copilots that amplify the productivity of every team at Glow.
Insurance is a high-stakes information-dense domain where AI can create meaningful leverage. The systems you build will have real-world consequences and measurable impact.
Youll own products and features end-to-end - from identifying the problem to shipping the solution and measuring results.
- Work directly with users teammates and stakeholders to understand problems deeply.
- Turn ambiguity into clear plans product requirements and execution.
- Own outcomes not just implementation.
- Design and integrate LLM-powered workflows using prompts tool calling structured outputs RAG and agent architectures.
- Build systems that are reliable measurable and production-ready.
- Improve prompts evaluations context management and agent tooling across the company.
- Build production software using:
- React & TypeScript
- GraphQL
- PostgreSQL
- AWS
- Temporal
No layer of the stack is off-limits.
- Monitor what you ship.
- Measure user and business outcomes.
- Debug improve and continuously refine systems after launch.
Claude Code Cursor and agentic development tools are core parts of our workflow.
Youll use them heavilybut youll also know when theyre wrong.
The job isnt writing every line yourself. The job is exercising the judgment to identify edge cases flawed assumptions security risks and incorrect implementations before they reach production.
We care less about years of experience and more about ownership judgment and execution.
You should have:
- 13 years of software engineering experience (exceptional candidates outside this range are encouraged to apply).
- A track record of shipping real products or features end-to-end.
- Daily hands-on use of Claude Code Cursor or similar AI development tools.
- Experience building with LLM APIs such as Anthropic OpenAI or equivalent.
- Experience shipping at least one AI feature involving tool use structured outputs RAG or agent workflows.
- Strong proficiency with and React/TypeScript.
- Working knowledge of GraphQL PostgreSQL and AWS.
- Strong product instincts and customer empathy.
- Excellent technical judgment and attention to detail.
- A bias toward action and ownership.
- Low ego high EQ and a collaborative mindset.
A Computer Science or Software Engineering degree is preferred but demonstrated ability and a strong shipping record matter more than credentials.
- Experience at an early-stage or high-growth startup.
- Familiarity with:
- Vercel AI SDK
- LangChain / LangGraph
- Anthropic SDK
- OpenAI Agents
- Experience building RAG systems embeddings pipelines or vector databases (pgvector Pinecone Weaviate).
- Experience building MCP servers or agent tooling.
- Experience designing evaluation frameworks for LLM systems.
- Public AI projects open-source contributions or a strong GitHub portfolio.
- Strong product design and UX instincts.
- Build AI That Matters
- Work on systems that proactively protect small businessesnot demo projects or experimental side initiatives.
- AI-Native Culture
- Frontier models and agentic workflows are embedded in how we operate every day.
- Ownership & Autonomy
- Own meaningful problems from day one and see the direct impact of your work.
- Startup Velocity
- Move quickly experiment often and ship continuously.
- Accelerated Growth
- Develop product thinking engineering judgment and AI-native execution skills at a level few teams can offer.
- Mission-Driven Work
- Behind every small business is someone who took a risk to build something meaningful. We help protect what theyve built.
Glow is backed by $24M in Series A funding and is building the future of small business insurance from our office in Lahore.
Required Experience:
IC
