Empowering enterprises with universal AI agents
Ema is a San Francisco-based startup focused on developing next-generation AI technology to empower employees across enterprises. With $61 million in funding, Ema aims to create configurable AI agents that take on repetitive tasks, enhancing productivity and creativity for their users. The company s...
Ema offers competitive salaries, equity options, flexible PTO, and a remote-friendly work policy to support work-life balance. Employees also benefit ...
Ema promotes a culture of innovation and efficiency, focusing on leveraging AI to enhance human creativity. The company values adaptability, allowing ...
Ema • San Francisco Bay Area
About Us: At Ema we are building the world’s largest agentic AI platform. We are on a mission to 10x workforce productivity by helping enterprises build and deploy their own AI employees. We are backed by marquee investors (Accel, Prosus, SCB10X, Hitachi Ventures, Sozo Ventures to name a few) and have raised over $60M+ till date. Our founders (Surojit Chatterjee and Souvik Sen) have deep experience in building and scaling products from their stints at Google, Coinbase, Flipkart and Okta.
As an AI Application Engineer you will be working on cutting-end GenAI challenges for Fortune 500 companies and building out Agentic AI applications for Customers. You will be responsible for analyzing customer requirements, building new AI applications for customers, integrating with customers' data and applications and lead deployment of Gen AI Applications for very large enterprise customers.
In this role, you will:
Build and customize Agentic AI applications for Fortune 500 companies
Align GenAI solutions with customer needs and business goals
Lead deployment of GenAI applications at enterprise scale
Analyze customer data structures and integrate with existing systems
Implement APIs and integration protocols for seamless connectivity
Evaluate and improve AI model performance
Identify patterns in data to troubleshoot and recommend enhancements
Collaborate with internal teams across engineering, product, and customer success
Engage directly with enterprise customers to understand needs and provide technical guidance
Ideally, you'd have:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years experience as an AI/ ML Engineer or similar roles.
Solid foundational understanding of traditional ML & Generative AI concepts
Practical experience in GenAI application development, Prompt Engineering & running detailed evaluations
Strong analytical skills - to understand deep patterns in client data, troubleshoot model performance issues & suggest innovative solutions to improve outcomes
Strong understanding of enterprise SaaS solutions and cloud technologies
Strong understanding of API frameworks and various Integration protocols
Ability to work with different data structures and handle basic transformations in order to automate certain components of the application
Experience with solution design, cloud based solution architecture, and integrations.
Proficient with relevant programming languages and technologies.
Prior customer facing experience is a plus
Strong collaboration skills, with the ability to work effectively both independently and as part of a global team.
Ability to Document and understand complex processes spanning multiple functions is highly desirable
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.
Apply now or save it for later. Get alerts for similar jobs at Ema.
