AI Senior Developer

Calpine Corporation is America's largest generator of electricity from natural gas and geothermal resources with operations in competitive power markets. Its fleet of 77 power plants in operation represents over 27,000 megawatts of generation capacity. Through wholesale power operations and its retail businesses, Calpine serves customers in 22 states and Canada. Its clean, efficient, modern and flexible fleet uses advanced technologies to generate power in a low-carbon and environmentally responsible manner.

The company was established on the premise that a strong commitment to the environment is inextricably linked to excellence in power generation and corporate responsibility. Since its founding in 1984, Calpine has led the power industry in its unwavering commitment to environmental stewardship. In addition, its renewable geothermal plants use steam generated deep below the earth's surface to produce clean, renewable electricity.

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 Calpine's 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.

• AI/ML Integration: Collaborate with data scientists to integrate machine learning models (e.g., using Tensor Flow, PyTorch, or scikit-learn) for applications such as energy demand forecasting, predictive maintenance, or carbon emission optimization.
• Back-End Development: Develop and optimize server-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing.
• App Development: 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.
• Generative AI Development: 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.
• Data Pipeline Support: Assist in building and maintaining data pipelines for processing real-time and historical energy data to support AI-driven applications.
• API Development: Design and implement RESTful APIs to connect front-end interfaces with AI/ML back-end services and energy data systems.
• Testing and Debugging: Write unit and integration tests to ensure code quality and debug issues across the full stack.
• Collaboration: Work with energy analysts, engineers, and product managers to deliver solutions that align with Calpine's operational and sustainability goals.
• Continuous Learning: Stay updated on AI/ML advancements, including generative AI and LLMs, full-stack development trends, and energy industry innovations to contribute innovative ideas.

• 5 years of experience in software development, with hands-on exposure to full-stack development or AI/ML projects (professional work, internships, personal projects, or coursework acceptable).

• Candidates should have experience or demonstrable familiarity with AI/ML frameworks such as Tensor Flow, PyTorch, or scikit-learn, with a focus on developing, fine-tuning, or deploying machine learning models for practical applications.
• Exposure to building or integrating AI-driven solutions, such as predictive analytics, anomaly detection, or optimization algorithms, is highly valued.
• 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.
• 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.

• Bachelor's degree in computer science, Engineering, Data Science, or a related field (or equivalent experience).

• Proficiency in Python and/or JavaScript (Node.js, React, or similar frameworks).
• Familiarity with AI/ML libraries (e.g., Tensor Flow, PyTorch, scikit-learn) and generative AI platforms or LLMs (e.g., GPT, BERT, or similar).
• Experience with databases (e.g., Postgre
  
  SQL, Mongo
  
  DB) and REST API development.
• Basic understanding of cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• Knowledge of version control systems (e.g., Git).

• Strong problem-solving skills and eagerness to learn.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• Good communication skills to articulate technical concepts…