AI engineer in compliance

Enhesa; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible home-working policy

Competitive salary

Job summary

Enhesa seeks a Senior AI Engineer to collaborate on NLP AI products, from RAG systems to content generation, enhancing customer experience. You’ll prototype approaches, drive data annotation, and maintain ML applications with expert colleagues.

You’ll evaluate state-of-the-art ML/GenAI tech, communicate complex concepts clearly, and thrive in a fast-paced, international environment with flexible remote work.

Qualifications

• Bachelor’s or advanced degree in CS/AI/Mathematics or related field.
• At least 3 years in AI/IT engineering; more than 5 years if only a Bachelor’s.
• Experience with relational databases (PostgreSQL) and data handling.
• Proficiency in Python and building production-ready code.
• Experience with Docker, cloud platforms (Azure, GCP, AWS).
• Ability to design and expose APIs (REST/Async) and NLP/GenAI concepts.
• Fluency in English; strong communication and collaboration skills.

Responsibilities

• Collaborate to develop, maintain, and deploy NLP AI products including RAG systems.
• Experiment rapidly, prototype solutions, and drive data annotation for ML.
• Build and maintain ML applications and products with experts.
• Run evaluation experiments and perform statistical analysis.
• Stay current with ML, GenAI and cloud technologies; communicate concepts to stakeholders.
• Work in an international, collaborative environment with transparency.

Skills

Python

Docker

Azure

GCP

AWS

APIs

PostgreSQL

NLP

GenAI

RESTful APIs

OOP

English fluent

Education

Bachelor’s or advanced degree in Computer Science, AI, Mathematics, or related field

Tools

Docker

Azure

GCP

AWS

PostgreSQL

Job description

Описание

The Senior AI Engineer collaborates with other expert talents to develop, maintain, and assist in the deployment of natural language processing (NLP) AI products, from RAG systems to content generation and recommendation, to improve Enhesa’s customer experience. In addition to the required technical skills, the Senior AI Engineer has great organizational and communication skills and understands the challenges related to working with different languages.

Задачи

• Being comfortable with experimentation and showing a willingness to approach a problem in multiple ways via rapid prototyping.
• Identifying appropriate datasets and driving annotation for machine learning techniques.
• Developing and maintaining machine learning applications and products, together with relevant expert talents.
• Iteratively improving the developed AI systems and running evaluation experiments in collaboration with others, performing statistical analysis of results.
• Keeping an eye on the state-of-the-art of machine learning and GenAI solutions, emerging technologies, and developments in academia.
• Translating and communicating technical concepts and solutions to different stakeholders.

Требования

• Bachelor’s or advanced degree in Computer Science, AI, Mathematics, or a related field.
• At least 3 years of experience as an AI/IT Engineer (More than 5 years if the highest education is a Bachelor’s degree).
• Postgres database or other relational database experience.
• Experience in content apps and microservices.
• Knowledge of data structures, semantic extraction, and text representation in an NLP context.
• Proficiency in Python (OOP) preferred.
• Experience in using technologies such as Docker, Azure, GCP, and AWS.
• Experience in creating application programming interfaces (APIs), such as RESTful, Asynchronous, etc.
• Ability to write clean, production-ready code.
• Fluency in English.
• In order to fit in Enhesa’s collaborative and international environment, creativity, dynamics, and ability to work independently yet transparently towards colleagues.
• Strong teamwork skills, both with colleagues as well as with external partners.
• Both individual and team problem-solving skills are crucial in this position.

Будет плюсом

• Familiarity with the concepts and applications of Vectors Database knowledge is a plus; Knowledge of a variety of NLP techniques, RAG Systems, Agentic Orchestration, MCP servers, classification, data transformations, optimization, and deep neural networks, with a good understanding of the mathematical underpinnings and real-world advantages/drawbacks preferred; Any other core skills to bring to the team are a huge plus, such as front-end development, experience administering cloud systems, deploying serverless cloud technology, deep Linux knowledge, etc; Any additional language skills are an asset

Условия

• A competitive salary package
• Flexible home-working policy and work/life balance
• A collaborative fast paced, driven environment
• Accountability and pride for your projects