High-impact opportunity for experienced full-stack AI engineer to design and ship production-grade generative AI capabilities. Work with a fast-growing team tackling foundational challenges in GenAI. Contribute to internal frameworks and reusable components.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Job Title: AI Software Engineer
Compensation: $175,000 - $200,000 base + equity
Location: Remote (US)
This high-growth startup is building the backbone for high-assurance Generative AI applications. As GenAI systems become more intricate and business-critical, engineering teams need transparent, reliable infrastructure to validate performance, monitor behavior, and ensure real-world reliability. Backed by top-tier investors, this team is moving fast to build tools that make GenAI development more predictable, trustworthy, and scalable.
About the Role:
This is a high-impact opportunity for an experienced full-stack AI engineer who thrives in fast-paced, early-stage environments. You’ll work across the stack - from UI to backend to AI integrations - owning feature delivery end-to-end. You'll play a key role in shaping the architecture, contributing to core platform capabilities, and bringing new GenAI-powered features to production.
What You’ll Do:
- Design and ship production-grade Generative AI capabilities
- Build full-stack features using TypeScript, React, and Node.js
- Develop observability and AI-tracing systems for complex AI workflows
- Own feature delivery from requirements to implementation and iteration
- Collaborate cross-functionally with product, design, and leadership
- Improve performance, reliability, and quality of AI-driven systems
- Contribute to internal frameworks and reusable components
- Lead and participate in technical discussions and code reviews
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What You’ll Bring:
- Ample full-stack software engineering experience
- Proven experience with LLM-powered applications, agents, or workflows
- Strong skills in TypeScript, React, and Node.js
- Familiarity with GenAI development patterns (RAG, embeddings, vector search)
- Hands-on with orchestration tools (LangChain, LangGraph, LlamaIndex, etc.)
- Ability to operate autonomously and make pragmatic technical decisions
- Strong debugging, architecture, and performance tuning skills
Tech Stack:
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- TypeScript / React / Node.js/Python
- LLM orchestration tools: LangChain, LangGraph, LlamaIndex
- Observability: OpenTelemetry, custom tracing systems
- GenAI integrations and evaluation frameworks
Why Join?
- Work on real-world AI systems with a major impact on production reliability
- Join an ambitious, fast-growing team tackling foundational challenges in GenAI
- Fully remote with flexible hours and generous PTO
- Employee equity and regular team off-sites
- Big growth potential in a critical emerging space
About People In AI: People In AI connects top-tier talent with the most ambitious companies in artificial intelligence. We work with founders, VCs, and engineering leaders to build world-class teams shaping the future of machine learning and AI infrastructure.
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