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.
We are seeking an experienced Enterprise Software Engineer to join the Ema team in UK. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.
Develop and maintain enterprise software applications, including API, data, application, and service development
Write clean, efficient, and maintainable code by employing test-driven development process.
Build scalable and reliable back-end systems using languages like Go and Python.
Develop and maintain APIs using REST, gRPC or GraphQL
Integrate multiple enterprise applications and services using a scalable framework like FastAPI
Build and maintain data schema using PostgreSQL, NoSQL etc.
Knowledge of front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular.
Design data pipelines for ML using DE stack ; event driven technologies like Temporal and Kafka. Work with foundational LLMs across OpenAI. Gemini and Claude.
Ensure that applications are secure and adhere to industry best practices.
Able to design and develop enterprise grade features / modules using SOLID principles and best practices around software engineering.
Develop high availability, low latency enterprise grade software products using Agentic Architecture, LLMs and RAG technology.
Continuously improve software development processes and practices.
Bachelor's degree in Computer Science or related field.
At least 7+ years of relevant work experience.
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis.
Knowledge of designing and building API platforms and integration systems.
Experience with cloud technologies like GCP
Experience with containerization technologies like Docker and Kubernetes
Experience with integrating multiple enterprise applications, including frameworks and authentication.
Experience in Agentic, LLMs and knowledge search is good to have.
Understanding of security best practices and protocols for enterprise software applications
Experience deploying software in multi-tenant SaaS environments.
Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or Angular
Strong problem-solving skills and attention to detail
Ability to work independently and as part of a team
Experience working with global teams
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.
