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 Benefits include:
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