Sr. AI Engineer

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.

Job Responsibilities

• AI/ML Integration: 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.
  


• 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.
  

Requirements

Experience:

• 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).
  

AI/ML Experience: 

• 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.
  


• 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.
  

Education:

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

Technical Skills:

• Proficiency in Python (Node.js, React, or similar frameworks).
  


• Familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit\-learn) and generative AI platforms or LLMs (e.g., GPT, BERT, or similar).
  


• Experience with databases (e.g., PostgreSQL, MongoDB) 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).
  

Soft Skills:

• 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 to non\-technical stakeholders.
  

Nice\-to\-Haves:

• Experience with containerization (e.g., Docker) or CI/CD pipelines.
  


• Familiarity with front\-end styling frameworks like Tailwind CSS.
  


• Exposure to energy sector data or analytics (e.g., time\-series data, forecasting).
  


• Contributions to open\-source projects or personal AI/ML projects, particularly those involving generative AI or LLM\-based applications.
  

Benefits

• Medical, vision and dental
  


• Prescription drug coverage
  


• Calpine’s Retirement Savings Plan (401(K)) matching
  


• Paid time off and paid parental leave
  


• Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more
  


• Life insurance
  


• Education reimbursement program
  


• Adoption assistance
  


• Scholarship and vocational grant programs
  


• Training and education opportunities
  


• Bonus eligible