Software Engineer, Full Stack - UK
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 96d ago
The date the source published, not the day we noticed it (2026-06-11). Last seen at its source 2h ago.
Is it remote?
United Kingdom (Remote)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £75k–120k/yr
Middle 50% of 61 listings that do state pay — Engineering · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 26d ago · last seen 2h ago
The listing
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, 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 Role
You'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 Do
Design 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.
Example Projects
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.
What You'll Bring
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
Even Better
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.