Senior AI Software Engineer

People In AI • United State
Remote
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AI Summary

High-impact opportunity for an experienced full-stack AI engineer to work on high-assurance Generative AI applications. Design and ship production-grade Generative AI capabilities. Collaborate cross-functionally with product, design, and leadership.

Key Highlights
High-impact opportunity for an experienced full-stack AI engineer
Design and ship production-grade Generative AI capabilities
Collaborate cross-functionally with product, design, and leadership
Key Responsibilities
Design and ship production-grade Generative AI capabilities
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
Technical Skills Required
TypeScript React Node.js LLM orchestration tools OpenTelemetry custom tracing systems GenAI development patterns vector search
Benefits & Perks
$180,000 - $200,000 base + equity
Fully remote
Flexible hours and generous PTO
Employee equity and regular team off-sites
Nice to Have
Python
vector databases
ML infra
open-source contributions

Job Description


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.


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