AI Software Engineer for High-Assurance Generative AI Applications

Job Title: AI Software Engineer

Compensation: $180,000 - $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

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:

• TypeScript / React / Node.js
• LLM orchestration tools: LangChain, LangGraph, LlamaIndex
• Observability: OpenTelemetry, custom tracing systems
• GenAI integrations and evaluation frameworks
• Bonus: Python, vector databases, ML infra, open-source contributions

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.