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