As an AI\/ML Full Stack Engineer at Calpine Inc., you will contribute to the development of AI\-driven tools and applications to optimize energy operations, enhance forecasting, and improve operational efficiency. You will work on both front\-end and back\-end development, integrating machine learning models, including large language models (LLMs) and generative AI, into Calpineâs energy management systems. This role is ideal for professionals with up to 5 years of experience who are passionate about AI, web development, and solving real\-world energy sector challenges.<\/span>
<\/p>Job Responsibilities<\/span><\/b>
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- AI\/ML Integration: <\/span><\/b>Collaborate with data scientists to integrate machine learning models (e.g., using TensorFlow, PyTorch, or scikit\-learn) for applications such as energy demand forecasting, predictive maintenance, or carbon emission optimization.<\/span>
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- Back\-End Development: <\/span><\/b>Develop and optimize server\-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing.<\/span>
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- App Development: <\/span><\/b>Build and maintain responsive user interfaces for internal tools and dashboards using modern JavaScript frameworks (e.g., React, Vue.js) and CSS frameworks like Tailwind CSS.<\/span>
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- Generative AI Development: <\/span><\/b>Design and implement generative AI solutions, including LLM\-based applications (e.g., using models like GPT or BERT), to create automated reports, simulate energy scenarios, or enhance decision\-support tools for operational teams.<\/span>
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- Data Pipeline Support: <\/span><\/b>Assist in building and maintaining data pipelines for processing real\-time and historical energy data to support AI\-driven applications.<\/span>
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- API Development: <\/span><\/b>Design and implement RESTful APIs to connect front\-end interfaces with AI\/ML back\-end services and energy data systems.<\/span>
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- Testing and Debugging: <\/span><\/b>Write unit and integration tests to ensure code quality and debug issues across the full stack.<\/span>
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- Collaboration: <\/span><\/b>Work with energy analysts, engineers, and product managers to deliver solutions that align with Calpineâs operational and sustainability goals.<\/span>
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- Continuous Learning: <\/span><\/b>Stay updated on AI\/ML advancements, including generative AI and LLMs, full\-stack development trends, and energy industry innovations to contribute innovative ideas.<\/span>
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Requirements<\/h3>
Experience:<\/span><\/b>
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- Position typically requires 10 years of IT experience, with 5 years of experience focused in software development, with hands\-on exposure to full\-stack development and experience with AI\/ML projects (professional work, internships, personal projects, or coursework acceptable).<\/span>
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<\/ul>AI\/ML Experience: <\/span><\/b>
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- Candidates should have experience or demonstrable familiarity with AI\/ML frameworks such as TensorFlow, PyTorch, or scikit\-learn, with a focus on developing, fine\-tuning, or deploying machine learning models for practical applications.<\/span>
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- Exposure to building or integrating AI\-driven solutions, such as predictive analytics, anomaly detection, or optimization algorithms, is highly valued.<\/span>
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- Experience with generative AI platforms and large language model (LLM)\-based applications, such as chatbots, automated content generation, or decision\-support systems, is a significant plus.<\/span>
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- Candidates should demonstrate an ability to apply AI\/ML techniques to solve business problems, ideally in domains like energy, operations, or data\-driven decision\-making.<\/span>
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<\/ul>Education<\/span><\/b>:<\/span>
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- Bachelorâs degree in computer science, Engineering, Data Science, or a related field (or equivalent experience).<\/span>
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<\/ul>Technical Skills:<\/span><\/b>
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- Proficiency in Python (Node.js, React, or similar frameworks).<\/span>
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- Familiarity with AI\/ML libraries (e.g., TensorFlow, PyTorch, scikit\-learn) and generative AI platforms or LLMs (e.g., GPT, BERT, or similar).<\/span>
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- Experience with databases (e.g., PostgreSQL, MongoDB) and REST API development.<\/span>
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- Basic understanding of cloud platforms (e.g., AWS, GCP, Azure) is a plus.<\/span>
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- Knowledge of version control systems (e.g., Git).<\/span>
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<\/ul>Soft Skills:<\/span><\/b>
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- Strong problem\-solving skills and eagerness to learn.<\/span>
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- Ability to work collaboratively in a fast\-paced, team\-oriented environment.<\/span>
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- Good communication skills to articulate technical concepts to non\-technical stakeholders.<\/span>
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<\/ul>Nice\-to\-Haves:<\/span><\/b>
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- Experience with containerization (e.g., Docker) or CI\/CD pipelines.<\/span>
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- Familiarity with front\-end styling frameworks like Tailwind CSS.<\/span>
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- Exposure to energy sector data or analytics (e.g., time\-series data, forecasting).<\/span>
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- Contributions to open\-source projects or personal AI\/ML projects, particularly those involving generative AI or LLM\-based applications.<\/span>
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Benefits<\/h3>
Benefits include:
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- Medical, vision and dental
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- Prescription drug coverage
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- Calpineâs Retirement Savings Plan (401(K)) matching
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- Paid time off and paid parental leave
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- Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more
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- Life insurance
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- Education reimbursement program
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- Adoption assistance
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- Scholarship and vocational grant programs
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- Training and education opportunities
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- Bonus eligible<\/li>
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