Software Engineer- AI and Energy Trading (Houston, TX)

Position Overview

As a Software Engineer (AI) supporting Musket Corp.'s energy trade floor specializing in refined products trading, you will design and develop advanced AI-driven tools that enhance trading performance, automate workflows, and unlock market insights. Location: 2929 Allen Parkway, Ste 4100 Houston, TX, 77019

Key Responsibilities

• Develop, deploy, and maintain AI and machine learning applications that support refined products trading strategies, including market forecasting, arbitrage detection, and price correlation modeling.
• Integrate AI models into trading tools and dashboards to improve decision-making speed, market visibility, and risk assessment.
• Design scalable applications leveraging real-time and historical data to support position management, inventory optimization, and trade execution efficiency.
• Write clean, efficient, and scalable full-stack code for production-grade applications used by trading, analytics, and operations teams.
• Collaborate with the analytics team to optimize data pipelines, integrate APIs, and enhance system performance.
• Implement solutions that interface with trading platforms, market data providers, and internal analytics environments.
• Stay current with advancements in AI, machine learning, and data engineering, identifying opportunities to incorporate emerging technologies into trading workflows.
• Prototype and test new approaches to automation, data visualization, and predictive modeling that deliver measurable trading value.
• Partner with traders and analysts to translate business requirements into scalable, high-impact technical solutions.
• Perform other duties as assigned.

Required Qualifications

• Education: Bachelor's degree in Computer Science, Engineering, or a related technical discipline required.
• Experience Required: Proven experience in software development (front-end, back-end, or full-stack) with hands-on expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and data processing libraries (Pandas, NumPy). Exposure to energy trading, commodity markets, or financial systems and experience integrating data from market feeds and real-time analytics platforms.
• Requirements: Proficiency in programming languages such as Python, Java, C#, C++, JavaScript/TypeScript, and SQL. Solid understanding of AI/ML model development, training, and deployment; familiarity with cloud technologies (AWS, Azure, GCP) and modern DevOps practices.

Preferred Qualifications

• Qualifications: Advanced degree (Master's or PhD) in AI, Machine Learning, or Data Science preferred.
• Demonstrated soft skills including effective communication, collaborative teamwork, and an analytical mindset with high attention to detail.

Benefits & Perks

• Benefits: Cutting-Edge Environment – Be part of a forward-thinking team leveraging the latest technologies to drive business success.
• Benefits: Collaborative Culture – Work alongside data scientists, analysts, and business partners, fostering creativity and innovation.
• Benefits: Continuous Learning – Engage with a diverse range of projects and technologies, expanding your skills and expertise.