Senior Software Engineer
Harnham
full-remoteleadpermanentfrontendfullstack United States Yesterday via LinkedIn
225,000 - 280,000 USD/annual
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TypeScriptReactNext.jsNode.jsAWSLLMsRAGAI Product UXServerlessFull-stack
About the role
Role overview
Senior/Staff Software Engineer (AI Product) for a remote role in the United States. You will build polished, customer-facing AI features (not a backend AI research role) and lead initiatives end-to-end at a staff level.
Responsibilities
- Lead design and delivery of customer-facing AI-powered features (e.g., copilots, assistants, summaries, intelligent workflows)
- Own initiatives end-to-end: from concept and UX design through production deployment and iteration
- Build high-quality frontend experiences that make AI accessible to non-technical users
- Architect and implement full-stack systems connecting frontend, backend, and AI services
- Establish best practices for AI product UX, performance, and reliability at scale
- Serve as a technical leader, guiding architecture decisions and mentoring engineers
- Collaborate closely with product and design to translate AI capabilities into usable interfaces
Requirements
- 7+ years of software engineering experience with Staff-level scope and ownership
- Proven track record of leading initiatives or owning products end-to-end
- Frontend-leaning background (or full-stack with strong frontend expertise)
- Experience shipping user-facing applications
- Hands-on experience integrating AI into products, including LLMs and AI feature patterns
- Strong product mindset and ability to translate complex AI into intuitive UX
- Experience partnering with design and product teams and working in ambiguity
Tech stack (core)
- TypeScript, React / Next.js
- Node.js, serverless backends
- AWS (or similar) cloud infrastructure
- LLM platforms (e.g., OpenAI, Anthropic, Bedrock)
- RAG pipelines and modern AI SDKs
Compensation
- $225,000–$280,000 base + bonus + benefits (United States)
About Harnham
Harnham is partnering with a SaaS company that embeds AI directly into its core product experience. The focus is on delivering customer-facing AI features that users rely on daily, combining product and design with applied AI engineering.
Scraped 4/7/2026