Sr. AI Engineer

ePATHUSA • Houston, TX

1d • Hybrid

About The Position

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.

Requirements

• 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).
• 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.
• 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 (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).
• 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 generative AI platforms and large language model (LLM)\-based applications, such as chatbots, automated content generation, or decision\-support systems, is a significant plus.
• 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.

Responsibilities

• 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.
• Develop and optimize server\-side logic, APIs, and database interactions using Python (Flask, FastAPI, or Django) or Node.js to support energy data processing.
• 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.
• 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.
• Assist in building and maintaining data pipelines for processing real\-time and historical energy data to support AI\-driven applications.
• Design and implement RESTful APIs to connect front\-end interfaces with AI\/ML back\-end services and energy data systems.
• Write unit and integration tests to ensure code quality and debug issues across the full stack.
• Work with energy analysts, engineers, and product managers to deliver solutions that align with Calpine’s operational and sustainability goals.
• Stay updated on AI\/ML advancements, including generative AI and LLMs, full\-stack development trends, and energy industry innovations to contribute innovative ideas.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level