Builder - Senior Software Engineer, AI

About the role

About Us:

At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go-to-market motion, enabling B2B teams to operate faster, smarter, and more collaboratively. By combining automation, intelligence, and a radically intuitive interface, we're helping companies unlock new levels of productivity and growth across marketing, sales, ops, and customer success teams.

If you're excited about working on a product that reshapes how revenue teams work and being surrounded by curious, driven teammates, you'll feel right at home here. From day one, you'll get real ownership, real mentorship, and real impact. Our team of 100+ builders has 30 exits under their belt, so you'll be in good company, and working alongside the best!

About the Role:

The AI team builds the agents at the core of our platform. They track every signal on a deal as it arrives, work out the next move, and hand reps a drafted action to approve. Most of the team's work goes into three hard problems: memory, evaluation, and agent infrastructure.

We're looking for engineers who are self-motivated to a fault, obsessed with ownership and craft, and drawn to the biggest problem in the room. We'd rather hire someone who took an ambitious bet and failed than someone who played it safe and shipped on schedule.

What You’ll Do:

- Design and build memory and retrieval systems, including RAG, that stay fast and relevant at enterprise data volume

- Build evaluation systems that hold up on messy, real production data, so results are reliable enough to gate a launch on

- Design AI-driven interfaces that adapt to each org and user role instead of serving one generic dashboard

- Train and improve models, from fine-tuning to reinforcement learning: design tool and agent interfaces clean enough to RL against, run the rollouts and deployments yourself, and build the data collection and labeling behind them

- Build infrastructure for running agents in production at scale: durable execution, background jobs, and Human-in-the-Loop (HITL) checkpoints, with long-running workflows that survive crashes, redeploys, and retries

- Build sandboxed environments for agentic code execution, so we can isolate and trust what an autonomous agent does, backed by monitoring and quality assurance

What You Bring:

- 5+ years of software engineering experience, with a track record of building and shipping production AI/ML systems

- Strong expertise in LLMs, RAG, vector databases, embeddings, and semantic search

- Hands-on experience with prompt engineering, fine-tuning, and evaluating AI systems, plus the judgment to improve them based on the results

- Experience deploying and monitoring AI systems in production, with working knowledge of AI safety practices

- Strong communication skills, with the ability to explain AI concepts to technical and non-technical stakeholders