As a Senior Software Engineer you will be responsible for implementing and maintaining mission critical applications and services related to our trading and risk management platforms. You will also lead initiatives at the intersection of data infrastructure and AI integration. This role involves building scalable data pipelines, staging data for AI/ML workflows, integrating AI into production applications, and ensuring the reliability and relevance of LLM outputs. You’ll collaborate with teams across the firm—including product, data science, and engineering—to define and implement intelligent, data-driven features that power our next-generation products.

Successful candidates will embrace the cultural principles at Voloridge:

Drive creativity and find pleasure in your work: You love coding and technology. It is as much a hobby as it is work. Whether it is following blogs and podcasts, to downloading and trying out new projects from Github or elsewhere you have ideas you want to explore. Learning new things and bringing new ideas and solutions to the challenges we face is a key driver of innovation and excitement.

Seek continual improvement and roll-up-your sleeves: Be willing to learn whatever technologies, tools, or patterns necessary to solve a problem. These are critical systems, and you cannot avoid a problem because "someone else 'owns' the code" - learn the code, learn the domain, solve the problem.

Embrace truth and openness and practice humility and honor: We are a collection of top-performers with strong opinions but respect for the ideas of others is a must for finding the right solution. Everyone makes mistakes at times, so we don’t judge others. What is important is uncovering errors quickly, getting fixes in place, and understanding what can be improved for next time.

Summary of Job Functions

• Design, develop, and maintain applications and data pipelines using Python and libraries such as Pandas, Polars, and PyArrow
• Build robust data staging environments to support AI/ML model training, fine-tuning, and inference
• Integrate AI and LLM capabilities into existing applications, ensuring performance, scalability, and usability
• Engineer prompts and context for LLMs to optimize relevance, accuracy, and safety of AI-generated outputs
• Validate and monitor LLM outputs for correctness, bias, and alignment with business goals
• Leverage popular AI APIs (e.g., OpenAI, Anthropic, Cohere, Google Vertex AI) to integrate intelligent features into applications
• Develop and maintain cloud-native solutions on AWS, using services such as Lambda, S3, ECS, SageMaker, and Step Functions
• Collaborate across departments to define and implement AI integration strategies that align with business objectives
• Mentor junior engineers and contribute to architectural decisions

Minimum Requirements

• 10+ years of recent software development experience
• Deep understanding of software development techniques and patterns in high level programming languages
• Experience with Service Oriented Architectures (SOA)
• Experience with parallel programming and asynchronous patterns
• Full stack or n-tier application development in high data volume environments
• 5+ years of professional experience in Python software development
• Strong experience with data manipulation libraries (Pandas, Polars) and ETL/ELT pipeline design
• Strong experience with SQL databases (e.g., PostgreSQL, MySQL, SQL Server).
• Familiarity with NoSQL solutions (e.g., MongoDB, DynamoDB, Redis).
• Hands-on experience with LLM integration, including prompt engineering and context management
• Familiarity with vector databases and semantic search techniques.
• Experience validating and monitoring LLM outputs for quality and safety.
• Proficiency in AWS cloud services and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
• Experience working with AI APIs such as OpenAI, Anthropic, Cohere, or Google Vertex AI
• Solid understanding of RESTful APIs, microservices architecture, and containerization (Docker, Kubernetes)
• 4-year college degree (or higher) in Computer Science or related field
• Ability to work onsite in our Jupiter, FL office

Preferred Skills and Previous Experience

• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers)
• Knowledge of RAG pipelines, embeddings, and LLM fine-tuning
• Background in data engineering, machine learning engineering, or AI product development
• Experience working with AI development tools like LangChain and LangSmith
• Familiarity with agent orchestration tools like LlamaIndex or LangGraph
• Experience working with Continuous Integration/Delivery or DevOps environments

Compensation and Benefits

• Highly competitive base salary
• Profit sharing bonus
• Health, dental, vision, life, disability insurance
• 401K

Additional Information

Voloridge Investment Management is an SEC registered investment adviser. A private investment company founded in 2009, our mission is to deliver superior risk-adjusted returns for qualified investors, using advanced proprietary modeling technology, conservative investment tactics and sophisticated risk management. Our market neutral equities strategy takes both long and short positions in the most actively traded equities, and is designed to capture alpha while limiting exposure to directional markets risks. Our futures strategy takes both long and short positions in the most actively traded global futures and is also built to maximize alpha captured across all futures markets traded while capping exposure to any sector at a given time.

Voloridge Investment Management is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.