AI Application Engineer

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July 2

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Environmental Management Authority

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Artificial Intelligence • Enterprise • SaaS

Environmental Management Authority (EMA) is a company that specializes in offering advanced artificial intelligence solutions for business automation and enterprise productivity. Their flagship product, 'Ema', is a Universal AI Employee designed to boost productivity by learning, adapting, and evolving to fit various roles within an organization. With features like conversational AI configuration, a pre-built library of agents, and integration with numerous applications, EMA enables companies to streamline complex workflows efficiently. EMA emphasizes trust, security, and compliance, providing customizable private AI models with advanced data governance and top-tier encryption. The company services a range of sectors including healthcare insurance and fintech, making it a versatile choice for enhancing business operations across different industries.

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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

🎯 Requirements

• 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