About this role
The team at Enhesa is focused on leveraging AI efficiency and deep human expertise to help organizations navigate the complex regulatory and sustainability landscape. They serve as a global compliance partner, providing intelligence to help businesses make informed decisions regarding EHS, product, chemical, and corporate sustainability compliance across various operations. This role supports this mission by developing, maintaining, and deploying natural language processing (NLP) AI products. These products range from Retrieval-Augmented Generation (RAG) systems to content generation and recommendation engines, all aimed at enhancing the customer experience.
The Senior AI Engineer will be central to this development effort, focusing on creating intelligent solutions that address real business problems. This involves experimentation through rapid prototyping, identifying necessary datasets, and driving the annotation process for machine learning techniques. A key function is iteratively improving these AI systems through evaluation and statistical analysis, while staying current with the latest advancements in AI engineering and Generative AI.
This position is ideal for an engineer who thrives on applying novel techniques to solve complex problems and can effectively communicate technical concepts to various stakeholders. Candidates who possess strong organizational skills, a comfort with multiple languages, and a proactive approach to problem-solving will perform well in this collaborative and fast-paced setting.
What you will do
- Develop and maintain NLP AI products, including RAG systems, content generation, and recommendation features, to enhance the customer experience.
- Experiment with different approaches to problem-solving by rapidly prototyping solutions.
- Identify suitable datasets and manage the annotation process required for machine learning initiatives.
- Develop and maintain machine learning applications in collaboration with other experts.
- Iteratively improve AI systems by running evaluation experiments and performing statistical analysis of outcomes.
- Monitor the state-of-the-art in machine learning and GenAI solutions and emerging academic developments.
- Translate complex technical concepts and solutions for different stakeholders.
What you need
- A Bachelor’s or advanced degree in Computer Science, AI, Mathematics, or a related field is required.
- Candidates must have at least three years of experience as an AI/IT Engineer, or more experience if the highest degree is a Bachelor’s degree.
- Proficiency in Python, particularly Object-Oriented Programming (OOP), is preferred.
- Experience with relational databases such as Postgres is required.
- Familiarity with various NLP techniques, including RAG Systems, Agentic Orchestration, and deep neural networks, is necessary.
- Knowledge of data structures, semantic extraction, and text representation within an NLP context is essential.
- Experience with cloud platforms like Docker, Azure, GCP, or AWS is required.
- The ability to write clean, production-ready code and create APIs (e.g., RESTful, Asynchronous) is necessary.
Nice to have
- Front-end development experience
- Experience administering cloud systems
- Deep Linux knowledge
Benefits
- Competitive salary package
- Flexible home-working policy
- Work/life balance
Skills and tech stack
Questions candidates ask
What is the remote policy?
The posting mentions a flexible home-working policy as part of what Enhesa offers.
What is the compensation structure?
The posting states that a competitive salary package is offered for this role.
What is the primary technology stack?
The required technical skills include proficiency in Python (OOP), experience with Postgres, and knowledge of NLP techniques like RAG Systems and deep neural networks.
What is the team environment like?
The environment is described as collaborative, fast-paced, and driven, emphasizing accountability and pride in projects.