AI Solutions Developer

Description

• Design and implement automation solutions (RPA, scripts, workflow tools)
• Use rigorous software development practices—clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards
• Assist in the research, design, and end-to-end development of AI solutions and software applications for internal and client-facing needs
• Contribute to thorough documentation of code, features, APIs, and systems for transparency, maintainability, and knowledge transfer
• Share AI and software development best practices with colleagues, contributing to mentoring and team-wide knowledge growth
• Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance
• Translate business requirements into technical specifications, collaboratively develop project plans, and iterate on prototypes or proofs-of-concept
• Stay current on evolving trends in AI, machine learning, cloud, and software engineering; propose new tools and methodologies to improve team output
• Participate actively in agile sprint planning, collaborating across functions to align software releases with business needs
• Maintain high standards in source code management, branching, and merging strategies using Git
• Identify and automate repetitive business processes, boosting productivity and reliability across teams
• Develop production-grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability
• Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery
• Support leadership in strategic planning through technical insights from prototypes, pilots, and production deployments
• Participate in regular code/design reviews with peers, providing and receiving constructive feedback for continuous improvement
• Build, fine-tune, and maintain machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn
• Act as a bridge between technical and non-technical teams, helping stakeholders understand how software and AI solutions deliver business value
• Educate non-technical users on AI and software capabilities, application best practices, and the responsible use of technology
• Engage with a collaborative team that is dedicated to making a meaningful impact in the energy sector.
• Support responsible AI and software principles, including transparency, data privacy, and bias mitigation
• Ensure robust, high-quality data for model training and software features by building in validation checks and monitoring systems
• Contribute to the selection, integration, and long-term maintenance of cloud-based AI and software services, prioritizing security and system performance
• Lead or participate in post-mortems to identify root causes of incidents and implement lessons learned in future software releases
• Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives
• Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by software applications

Requirements

• Exposure to agile development methodologies (Scrum, Kanban), CI/CD practices, and collaborative development environments
• Demonstrated experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and hands-on software engineering (Python preferred)
• Experience writing and maintaining automated tests, debugging, and software troubleshooting
• Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases
• Understanding of machine learning workflow: data preparation, model training, evaluation, and deployment, alongside best practices in software delivery
• Strong attention to detail with proactive problem-solving skills
• Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud)
• Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams
• Excellent communication skills for explaining technical information to both technical and non-technical audiences
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
• FSA & HSA
• 2+ years of experience developing and deploying AI/ML solutions and production software

Benefits

• Disability Coverage
• Paid Parental Leave
• Employee Assistance Program (EAP)
• Gain exposure to cutting-edge projects and contribute to data-driven decision-making processes.
• Employee Discount Program
• Pre-Tax Commuter Account
• Paid Annual Personal/Sick Time (PST)
• First Professional Licensure Bonus
• Life & Accident Insurance
• Paid Bereavement Leave
• Back-Up Daycare
• Corporate Charitable Giving Program
• Merit Scholarship Program
• Paid Holidays
• Flexible Work Arrangements
• Employee Referral Bonus
• Work in an established company that values innovation and growth.
• Health Plans: Medical, Dental, Vision
• Paid Vacation
• Tuition Assistance

Training + Development

Interview process

Visa Sponsorship

Security clearance