AI Application Engineer

4 Months ago • 3 Years + • Research Development

Job Summary

Job Description

Ema is building the world's largest agentic AI platform to increase workforce productivity by enabling enterprises to create and deploy their AI employees. As an AI Application Engineer, you will work on cutting-edge GenAI challenges for Fortune 500 companies, developing and deploying Agentic AI applications. Your responsibilities include analyzing customer requirements, building new AI applications, integrating with customer data and systems, and leading the deployment of GenAI applications for large enterprises. You will customize applications, align solutions with business goals, evaluate model performance, and collaborate with internal teams and enterprise customers.
Must have:
  • Bachelor's in Computer Science or related field
  • 3+ years in AI/ML Engineering
  • Foundational understanding of ML & GenAI
  • Experience in GenAI development
  • Strong analytical skills
  • Understanding of enterprise SaaS & cloud tech
  • Proficiency in relevant programming languages
Good to have:
  • Customer-facing experience
  • Strong collaboration skills
  • Ability to document complex processes

Job Details

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.

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