AI Resident UK​/EMEA

Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section
32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale.

The AI Residency is a 6-month builder role, not a research placement. Every engineer at Ema owns delivery end to end — from understanding the customer's problem to shipping, measuring and supporting it in production — and residents are held to the same bar. You won't be parked on one project: you'll contribute across several avenues, all toward one goal — creating real value and impact for our enterprise customers.

• Real production work. You work in the production codebase, on real customer problems and real production data. Recent residents have shipped agent harnesses, eval infrastructure, inference-cost reductions, PII redaction, automated QA pipelines and backend service hardening used by enterprise customers.

• End-to-end ownership. You take work from a problem statement to a shipped, measured result — design, build, test, launch, and the follow-through until it's reliable.

• Mentorship. A senior mentor, weekly 1:1s, regular reviews with your team, and exposure to the founders and engineering leadership.

• A path to full-time. Top-performing residents are offered full-time roles eral of our engineers started as residents.

Whichever track you choose, you own delivery end to end. The track decides where you go deepest.

• Backend. Go and Python services, APIs and data models for multi-tenant SaaS. Integrations that let agents take real actions in SAP, Service Now, Workday, Teams and Slack.

• AI/ML. Agents, harnesses and context engineering; evals and LLM judges calibrated against human labels; retrieval and memory; post-training (SFT, preference optimisation, RL) and distilling frontier behaviour into cheaper models.

• Systems & Infra. Kubernetes and cloud (Azure, GCP), regional deployments and data residency, model serving, observability, CI/CD and reliability at enterprise scale.

Over the residency you'll work across several of these avenues, not just one:

• Customer deployments. Build and ship AI Employees for UK and European enterprises, working with the people whose problem it is.

• Platform and product. Turn patterns from the field into Ema's core product: new connectors, agent primitives, APIs and tooling.

• Quality and evaluation. Make agents measurably better: benchmarks from real workflows, failure mining, and the loop where production traces become training and eval data.

• Reliability and cost. Latency, uptime, inference cost and observability. Quality per pound is a metric we track.

• Trust and compliance. PII detection and redaction, data residency, and audit-ready evidence for customers under UK GDPR and the EU AI Act.

• A builder's mindset and high agency. You find a way to ship rather than waiting for the blocker to clear, and you follow your work into production.

• Final-year undergraduates, MSc/MEng and PhD students, recent graduates and self-taught builders are all welcome. What matters is what you've built.

• St…