We're partnering with a well-funded, venture-backed AI software company that's building mission-critical AI products for enterprise customers.

They're looking for a Senior Engineer to join the team responsible for their flagship AI product, helping build production-grade AI systems that solve complex, real-world workflows where accuracy, reliability and trust are essential.

This is an opportunity to work on far more than prompt engineering—you'll design, build and scale agentic AI systems that customers depend on every day.

What you'll be working on

  • Building and shipping production LLM-powered product features
  • Designing agentic workflows capable of solving complex, multi-step business problems
  • Improving retrieval, reasoning, orchestration and AI system reliability
  • Developing robust RAG pipelines, tool-calling frameworks and evaluation systems
  • Partnering closely with product teams and domain experts to translate customer workflows into AI-native experiences
  • Building AI systems that perform reliably in production—not just impressive demos
  • Investigating AI failure modes and continuously improving model performance and user experience
  • Collaborating with platform engineers to improve observability, scalability and reliability
 

We're looking for someone with

  • 5 years of software engineering experience
  • Strong backend and/or full-stack engineering fundamentals
  • Experience building production software products
  • Hands-on experience with LLMs, AI agents, RAG, workflow orchestration or AI-enabled applications
  • Strong product mindset with the ability to solve ambiguous customer problems
  • Comfortable working cross-functionally with engineers, product managers and domain experts
  • High ownership and excellent communication skills
Nice to have

  • Experience building production LLM applications at scale
  • Experience with agent frameworks, retrieval systems, evaluation frameworks or tool-calling architectures
  • Experience working in regulated or high-trust industries such as financial services, legal technology, compliance or enterprise SaaS
  • Experience building AI products around complex document workflows
  • Previous startup experience in a fast-paced engineering environment
Why this opportunity?

  • Build AI products used by real enterprise customers every day
  • Solve genuinely difficult problems in applied AI—not experimental prototypes
  • Work alongside experienced engineers in an AI-native company
  • High ownership with direct influence over the product roadmap
  • Competitive salary, meaningful equity and significant technical impact from day one