Software Engineer - Data Science

In this role, you will support transformative GenAI tools while collaborating closely with commercial teams and data scientists. You will be responsible for designing models and implementing application features aligned with stakeholder requirements. Your contributions will significantly impact project lifecycles and foster software engineering best practices focused on maintainability and performance, as you engage actively with a small, dynamic team.

Key Responsibilities:

• Collaborate with cross-functional teams to design and implement features based on stakeholder needs, ensuring alignment with business goals.

• Lead code reviews and provide constructive feedback to enhance the team's productivity and code quality.

• Engage in the complete project lifecycle, from initial design through to functional deployment, maintaining a focus on scalability and supportability.

• Champion the adoption of AI tools and techniques, acting as a local expert and facilitator within the organization.

Requirements:

• 5+ years' experience in a software engineering or AI-related role, with a strong emphasis on collaboration across teams.

• Proven ability to translate complex commercial requirements into executable features in application design.

• Experience in evolving software architectures from prototype stages to production, with an understanding of the impact of technical debt.

• Familiarity with modern programming languages and methodologies used in AI, such as Python and agile development practices.

Role Details:

• Employment Type: Full-time

• Location: Houston, Texas 77098

• Schedule: Monday–Friday, 9 AM–5 PM

Join our team and work with cutting-edge GenAI tools in a collaborative environment that values impactful problem-solving in the energy sector. This role offers the opportunity for continuous technical growth and meaningful contributions.

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