AI Engineer

Baker Hughes • Houston, TX

1d • Hybrid

About The Position

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. 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.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline, or equivalent practical experience, preferably with a focus on Data and AI.
• Proficient in Python and SQL, with experience working in modern data, analytics, and AI development environments.
• 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.
• Working knowledge of cloud platforms such as AWS, Azure, or GCP, including AI or data services.
• Familiar with APIs, vector databases, and modern AI system architectures.
• 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.
• Valid work authorization in the country of employment. The employer is unable to sponsor work authorization for this role at any time.

Responsibilities

• 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.

Benefits

• 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
• Eligible to participate in Company-sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k).
• Choice of coverage options that best suit your needs.
• Comprehensive and competitive benefits package
• Eligible for additional forms of compensation such as bonuses subject to the terms of the applicable benefit plans or policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees