Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. 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, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, 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 RoleYou'll be an engineer who builds AI agents in production, sitting close to the customers who depend on them.
This is a full-stack engineering job with an unusually short distance between your code and someone's actual workday. You'll write Go and Python, design schemas, build evals, and present your solution to a senior executive at an enterprise - often in the same week.
What You'll DoDesign and ship production agents. You'll build agents that are mission-critical from day one: embedded in Teams, Slack, intranets, voice lines, and email, taking real actions against SAP, ServiceNow, Workday, and a long tail of systems nobody has heard of. These run at enterprise volume under enterprise scrutiny.
Own the full lifecycle. Discovery, build, eval, launch, and the unglamorous months afterward where an agent goes from good to genuinely reliable.
Work directly with the people whose problem it is. You'll sit with leaders at global enterprises, extract the process from their heads, and decide what should be an agent, what should be a workflow, and what should stay human.
Push your work back into the platform. The best patterns you find in the field become part of Ema's core product - new connectors, new agent primitives, new tooling. You'll surface unmet needs and prototype the fix, working with product and platform engineering to make it general.
Recent work by our engineers:
Built the orchestration layer for a 200,000+ employee IT services firm spanning 65 countries, unifying HR, IT, and payroll into a single interface across SAP, ServiceNow, and Teams.
Rebuilt a recruiting firm's core stack - sourcing, screening, ranked shortlists - cutting time-to-hire by 67% and retiring their legacy ATS along the way.
Cut first-response time from two hours to under 90 seconds for an e-commerce logistics platform, including live carrier-site lookups, and held SLAs through peak holiday volume with no temporary hiring.
Experience building and scaling end-to-end production systems, with 5+ years of relevant engineering work
Strong backend fundamentals - algorithms, data modeling, and comfort in more than one language, Python and Go especially
Proven problem-solving in fast-changing, ambiguous environments where the requirements arrive in a meeting rather than a ticket
A builder's mindset and high agency - you find a way to ship rather than waiting for the blocker to clear
Comfort working directly with customers
Clear, direct communication with technical and non-technical audiences alike
You've built or deployed LLM systems in production, and have opinions about evals
Familiarity with agent tooling, RAG pipelines, MCP, and prompt engineering as an engineering discipline rather than a trick
You've been a founder or founding engineer, and know how to balance craft against speed
Experience integrating enterprise applications - HRIS, ITSM, ERP, ticketing - and the authentication that guards them
You've worked with distributed, global teams and multi-tenant SaaS environments
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
