--- title: 'Software Engineer, Full Stack - UK at Ema' canonical: 'https://feeny.ai/job/software-engineer-full-stack-uk-ema-united-kingdom-d7fdm3d83j4w' type: 'job' last_seen: '2026-10-14' --- # Software Engineer, Full Stack - UK at Ema - **Company:** Ema - **Location:** United Kingdom - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-06-11 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.ashbyhq.com/ema/8207a75e-2762-4f5f-bb40-1fa168b918e0 ## Job description ## About Ema 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, 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. ## About Ema ## Company Overview - **One-liner**: Ema provides a universal agentic control plane that enables enterprises to build, deploy, and scale autonomous AI agents to automate complex workflows across every business function. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: March 2023 - **Founders**: Surojit Chatterjee (Co-Founder & CEO), Souvik Sen (Co-Founder & CTO) ## Core Business - **Primary industry**: Enterprise AI Software / Generative AI / Agentic AI - **Target customers**: Large enterprises across healthcare, financial services, legal, and technology sectors (B2B, Enterprise) - **Mission or purpose statement**: To give business and IT leaders one place to build, deploy, and scale AI Agents across every function—HR, Finance, Sales, Customer Support, Legal, and beyond. The company believes the future of work is "humans multiplied by AI Employees," not humans replaced by AI. ## Products & Services - **Ema Universal Agentic Control Plane**: A platform for building, deploying, and scaling AI Agents across all enterprise functions. - **EmaFusion™**: A patented AI fusion layer that blends 100+ LLMs to optimize for accuracy, cost, and latency on every query, without vendor lock-in. - **GWE™ (Generative Workflow Engine)**: The orchestration core that breaks complex enterprise workflows into multi-agent steps, with built-in human-in-the-loop, audit trails, and async operations. - **Enterprise Context Graph**: Deep, permissioned memory across an organization's data, systems, and processes so every AI Employee knows the business from Day One. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $75 million (across multiple rounds) - **Seed Round** (March 2024): $25M led by Prosus Ventures and S32 - **Series A** (July 2024): $36M led by Accel and S32 - **Additional Series A** (March 2026): $14M from 9 investors - **Notable Investors/Partners**: Accel, S32 (Section 32), Prosus Ventures, Hitachi Ventures, KPMG (strategic investment) - **Growth Signals**: - Employee headcount grew 89.2% year-over-year to 155 people. - Operates in 6 countries (US, India, UK, Canada, UAE, Germany). - Trusted by global enterprises across highly regulated industries. - Holds certifications including ISO 42001 (world's first AI management standard), SOC 2 Type II, ISO 27001, and HIPAA. - Supports on-premises and air-gapped deployment, a significant differentiator for security-conscious enterprises. ## Competitive Advantages - **EmaFusion™ Technology**: A proprietary multi-model approach that blends over 100 LLMs, optimizing for accuracy, cost, and latency while avoiding vendor lock-in. - **Enterprise-Grade Security & Compliance**: One of the few agentic AI platforms that supports on-premises and air-gapped deployment, with certifications like ISO 42001, SOC 2 Type II, ISO 27001, and HIPAA. - **Deep Enterprise Integration**: Pre-integrated with 200+ enterprise systems, with a permissioned "Enterprise Context Graph" that provides deep, institutional memory. - **Strong Strategic Backing**: Backed by top-tier VCs (Accel, S32) and a strategic investment from KPMG, signaling strong enterprise credibility. ## Strategic Focus - **Product Expansion**: Continuing to build out the agentic AI platform to cover more enterprise functions and workflows. - **Enterprise Adoption**: Deepening relationships with large, regulated enterprises (healthcare, financial services, legal). - **Global Scale**: Expanding operations across key markets (US, India, UK, Canada, UAE, Germany) to support a global customer base. - **Trust & Compliance**: Maintaining and expanding certifications (ISO, SOC 2, HIPAA) to meet the highest enterprise security standards. ## Why Work Here - **Culture**: Ema describes itself as an "AI-first" company that hires "fewer people with a hunger and growth mindset" and augments the human workforce with AI employees. Core values include being innovative, trusted, relentlessly driven, and bold. - **Engineering Philosophy**: The company has a published "Engineering Manifesto" and emphasizes hiring "builders and creators." They believe a "10x team is better than a 10x individual" and operate with a "no wait, no boundaries" approach. - **Work Environment**: "Everyone builds" is a key principle—employees are expected to write software, create original content, and build new processes regardless of their formal role. - **Remote/Hybrid Policy**: Not explicitly stated, but offices are located in the SF Bay Area (US), India, UK, and Canada, suggesting a global, likely hybrid-friendly setup. - **Talent Pool**: The company attracts talent from top tech companies (Google, Meta, Amazon, Coinbase, Databricks) and top universities (IIT Delhi), indicating a high-caliber peer group. - **Open Roles (as of mid-2026)**: 32 active job postings, including roles in ML Engineering, Backend Engineering, DevOps, Product Management, Security & Compliance, and Marketing. ## Sources 1. [ema.ai/careers](https://www.ema.ai/careers) 2. [jobs.ashbyhq.com/ema](https://jobs.ashbyhq.com/ema) 3. [Crunchbase - Ema](https://www.crunchbase.com/organization/ema-8724) 4. [LinkedIn - Ema](https://www.linkedin.com/company/ema-unlimited) 5. [Tracxn - Ema](https://tracxn.com/d/companies/ema/__ksb3jUKrtsxUjw6V-pJ_Daac843jAQUG62LqeRWEGJ0) ## Other roles at Ema - [Devops Engineer, US](https://feeny.ai/job/devops-engineer-us-ema-mountain-view-6xs6vam1xfxy) — Mountain View, CA - [IT Engineer](https://feeny.ai/job/it-engineer-ema-san-francisco-1g6631qr9fjg) — San Francisco, CA - [AI Resident UK/EMEA](https://feeny.ai/job/ai-resident-uk-emea-ema-united-kingdom-499aq5tctc5a) — United Kingdom - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-ema-united-states-5xq9tbb76n09) — United States - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-ema-san-francisco-zetv3r0q2r6n) — San Francisco, CA - [Software Engineer, Machine Learning](https://feeny.ai/job/software-engineer-machine-learning-ema-vancouver-chp4xdz8xx6m) — Vancouver, Canada - [Field Marketing Manager, EMEA](https://feeny.ai/job/field-marketing-manager-emea-ema-united-kingdom-ftj8q0ayw809) — United Kingdom - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-ema-vancouver-ktj8sbzdgr3w) — Vancouver, Canada - [Partner Manager - UK](https://feeny.ai/job/partner-manager-uk-ema-united-kingdom-wjefgt06nw9f) — United Kingdom - [Product Manager, UK](https://feeny.ai/job/product-manager-uk-ema-united-kingdom-c5rn0ymc65x6) — United Kingdom