AI Engineer
Building Production‑Grade Generative AI and LLM‑Powered Solutions at Scale
Delivering Responsible, High‑Quality AI Capabilities That Drive Business Impact
Partner with the best
Baker Hughes is a global energy technology company serving the oil and gas sector across more than 120 countries. As the company accelerates digital transformation and energy innovation, advanced Artificial Intelligence plays a critical role in improving decision‑making, operational efficiency, and customer value. Our teams leverage modern AI platforms, cloud technologies, and responsible engineering practices to deliver scalable, secure, and high‑impact solutions across the enterprise.
Fuel your passion
The AI Engineer contributes to the design, development, and deployment of production‑grade AI applications, with a strong emphasis on Generative AI (GenAI) and Large Language Models (LLMs). This role sits at the intersection of software engineering, machine learning, and applied AI, supporting the delivery of reliable, responsible, and scalable AI‑powered capabilities. Working closely with experienced AI engineers, data engineers, and product teams, the AI Engineer helps prototype, evaluate, and operationalize AI solutions that deliver measurable business value.
As an AI Engineer, you will be responsible for:
· Assisting in the design and development of applications leveraging Generative AI and Large Language Models (LLMs), including Retrieval‑Augmented Generation (RAG) and prompt‑based systems.
· Collaborating with API and platform teams to ensure robustness, scalability, security, and quality of AI‑enabled services.
· Creating, fine‑tuning, and adapting pre‑trained models to meet specific business and technical requirements.
· Monitoring model outputs to assess quality, bias, security, and continued relevance, supporting Responsible AI practices.
· Proposing, executing, and documenting experiments, prompts, evaluations, and system designs to drive continuous improvement.
· Supporting model evaluation, experimentation, and deployment activities within modern MLOps workflows.
To be successful in this role you will:
· Have a Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline, or equivalent practical experience, preferably with a focus on Data and AI.
· Be proficient in Python and SQL, with experience working in modern data, analytics, and AI development environments.
· Have a solid understanding of machine learning and natural language processing (NLP) concepts.
· Demonstrate hands‑on interest or experience with Generative AI, LLM‑based systems, and prompt engineering.
· Have working knowledge of cloud platforms such as AWS, Azure, or GCP, including AI or data services.
· Be familiar with APIs, vector databases, and modern AI system architectures.
· Be comfortable collaborating across engineering, product, architecture, and data teams.
· Show curiosity, structured problem‑solving skills, and a willingness to continuously learn in a fast‑moving field.
Work in a way that works for you
We recognize that everyone is different and that the way people want to work and deliver at their best varies. In this role, we offer flexible working patterns where possible. As collaboration is a core value, there is significant benefit to teams being co‑located in one of our many Baker Hughes offices.
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are stronger when our people are developed, engaged, and able to bring their whole authentic selves to work. We invest in health and well‑being, build inclusive teams, and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. To keep moving forward, we continue to push boundaries through innovation and technology. We reward those who embrace change with a package that reflects how much we value their contribution. Join us, and you can expect:
· Contemporary work‑life balance policies and wellbeing activities
· Comprehensive private medical care options
· Safety net of life insurance and disability programs
· Tailored financial programs
· Additional elected or voluntary benefits
This position requires valid work authorization in the country of employment. The employer is unable to sponsor work authorization for this role at any time.
The Baker Hughes internal title for this role is: Digital Technology Experienced Professional - Data Science
