Senior AI Engineer

Role Description

You'll join the Automations team, and your job is to productionise what we've built. We have live 24/7 agents, data pipelines and workflow infrastructure. What you’ll be doing is helping us get the stack running robustly, reliably and at scale.

• Eval harnesses that catch regressions before they ship.
• Observability that explains why an agent did what it did.
• Provenance that traces every claim back to its source.
• Interfaces that let a non-engineer SEO strategist run and review the work.
• Build the harnesses and eval suites that gate agent changes in CI.
• Instrument the output, feed the signal back, and make the agents measurably better every cycle.
• Extend what agents can reach, operating real websites and navigating interfaces.

Qualifications

• A builder who ships: You care about getting working systems into production.
• An operator, not just an architect: You run systems and make them reliable.
• An owner: You take responsibility for outcomes.
• Maniacal about detail: You produce output that holds up under scrutiny.
• Sceptical of your own output: You assume the model is wrong until measured.
• Humble and curious: You acknowledge what you don't know and seek feedback.
• A first-principles thinker: You understand why things work, not just how.
• Always improving: You actively seek ways to enhance your craft.

Requirements

• 5+ years in software engineering, with meaningful recent time on LLM-backed or ML-backed production systems, including 2+ owning a production system end to end.
• Proficiency in Python, React, Typescript and strong systems fundamentals.
• Experience with LLM application engineering in production.
• Built eval suites for non-deterministic systems.
• Experience with observability for AI systems.
• Debugging non-determinism.
• Pipeline orchestration experience.
• Third-party API integration skills.
• Ownership of infrastructure: Containers, CI/CD, deployment, monitoring.
• Product sense for expert users.
• Collaborative: Define contracts and document decisions.

Preferred Qualifications

• Browser automation or authenticated web agents (Playwright, Puppeteer).
• Applied ML: ranking, scoring, classification, or recommendation systems in production.
• Experience with Terraform, Kubernetes.
• Prior experience at a fast-moving startup.

Benefits

• Fully remote position.
• Work directly with the CTO on high-impact projects.
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology.
• Your work will directly impact well-known (10M+ ARR) companies' performance.
• Join a fast-growing company at the intersection of AI and marketing.

Company Description

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

• Data-driven automation: Treat marketing programs like products.
• First principles thinking: Understand the underlying mechanics of search and AI systems.
• Full-stack ownership: Work across the entire funnel and multiple surface areas.