Associate Software Engineer- Energy Trading (Houston, TX)

Love's Travel Stops • Houston, TX

57d • Onsite

About The Position

As an Associate Software Engineer (AI) supporting Musket Corp.’s energy trade floor (specializing in refined products), you will design and develop advanced AI-driven tools that enhance trading performance, automate workflows, and unlock market insights. If you’re passionate about applying AI and software engineering to real-world trading challenges—and thrive in a fast-paced, high-impact environment—we encourage you to apply.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline required.
• Proven experience in software development (front-end, back-end, or full-stack).
• Hands-on experience with one of more of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and data processing libraries (Pandas, NumPy).
• Expertise in at least one or more of the following programming languages: Python, Java, C#, C++, JavaScript/TypeScript, SQL.
• Strong understanding of AI/ML model development, training, and deployment.
• Familiarity with cloud technologies (AWS, Azure, GCP) and modern DevOps practices.
• Ability to design and deliver scalable, secure, and high-performance applications in data-rich environments.
• Strong curiosity about market dynamics, trading operations, and commercial problem-solving.
• Analytical mindset with high attention to detail and code quality.
• Effective communicator who can translate complex technical ideas into business value.
• Collaborative and adaptable, comfortable working in a fast-paced, trading-oriented culture.
• Requires prolonged sitting, some bending and stooping.
• Occasional lifting up to 25 pounds.
• Manual dexterity sufficient to operate a computer keyboard and calculator.
• Requires normal range of hearing and vision.

Nice To Haves

• Advanced degree (Master’s or PhD) in AI, Machine Learning, or Data Science a plus.
• Exposure to energy trading, commodity markets, or financial systems strongly preferred
• Experience integrating data from market feeds, trade capture systems, or real-time analytics platforms is a plus

Responsibilities

• AI-Driven Trading Solutions 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 that leverage real-time and historical data to support position management, inventory optimization, and trade execution efficiency.
• Software Development & Systems Integration Write clean, efficient, and scalable code across the full stack to build production-grade applications used by trading, analytics, and operations teams.
• Collaborate with 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.
• Innovation & Continuous Improvement Stay current with advancements in AI, machine learning, and data engineering, identifying opportunities to apply emerging technologies within 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.
• Other duties assigned as needed.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees