Staff Software Engineer

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July 29

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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

• Execute Product Development with a Hands-On Approach: Lead by example with hands-on involvement in coding, reviewing, and problem-solving alongside your team, maintaining a focus on execution and high-quality output. • Define and Drive Technical Strategy: Establish and oversee the technical roadmap for document automation products, ensuring alignment with product goals and customer needs while delivering on time and to spec. • Collaborate with Product and Design Teams: Work closely with product managers and designers to translate customer needs into well-defined features, prioritizing execution to bring these ideas to life in an agile manner. • Architect Scalable and Robust Systems: Build and optimize cloud-native infrastructure that supports high-volume document processing, secure data handling, and robust machine learning workflows. • Develop and Integrate Machine Learning Pipelines: Actively guide and participate in building machine learning and NLP workflows for document processing, ensuring seamless backend and frontend integration. • Focus on Performance Optimization and Security: Continuously optimize for performance, from query processing and data pipelines to frontend response times, while adhering to best practices in security and compliance. • Mentor and Support Your Team: Provide direct guidance, hands-on training, and day-to-day support for engineers across backend, frontend, and machine learning, fostering a culture of execution excellence and accountability. • Ensure Product-Quality User Experiences: Work closely with the full-stack team to deliver intuitive, high-performance frontend experiences that meet the demanding needs of enterprise users.

🎯 Requirements

• Education: Bachelor’s or Master’s in Computer Science or a related field. • Experience: 8+ years in engineering with at least 3+ years in a technical leadership role focused on hands-on execution, ideally in document automation or AI-powered products. • Hands-On Technical Expertise: Proven experience leading by example in coding and architecture, with a track record of delivering complex, customer-focused solutions. • Full-Stack Development Knowledge: Strong foundation in backend and frontend engineering, with experience in cloud infrastructure (GCP, AWS, Azure) and hands-on familiarity with ML pipelines for document processing. • Expertise in Machine Learning and NLP: Practical experience developing and integrating ML/NLP models into production systems, especially for document search, extraction, and automation tasks. • Security-Focused Mindset: Solid understanding of secure data handling and compliance in document processing, with experience implementing secure authentication, authorization, and data privacy protocols. • Strong Execution Skills: Ability to prioritize, drive projects to completion, and ensure timely, high-quality results in a fast-paced, hands-on environment. • Effective Communication and Collaboration: Experience working cross-functionally with product, design, and engineering teams, with the ability to clearly convey technical requirements and execution plans. • Leadership and Mentorship Skills: Demonstrated success in building high-performance teams, mentoring engineers, and maintaining a strong focus on execution.