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Logo of Environmental Management Authority

Environmental Management Authority

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

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.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Equity • Professional development opportunities

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