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Role Description

This role offers an exciting opportunity for an experienced Machine Learning Engineer to contribute to a cutting-edge platform that drives intelligent solutions for financial services. You will design, develop, and scale backend systems for predictive modeling and generative AI, collaborating closely with cross-functional teams such as LLM Engineers, Product Owners, and Data Scientists. The position involves ownership of end-to-end software development, from architecture and coding to deployment and ongoing operations. You will help define and implement robust data strategies, enhance AI capabilities, and maintain high-performance, secure production systems. This role is ideal for a hands-on engineer who thrives in a collaborative, fast-paced environment and is eager to work on technologies that directly impact user experience and business outcomes.

• Design, implement, and maintain scalable, high-performance backend services, primarily in Python and frameworks like FastAPI.
• Translate business and technical requirements into actionable software designs and tasks.
• Develop and optimize databases, manage schema changes, and improve query performance.
• Integrate internal and external services, including APIs and AWS infrastructure, ensuring secure data flow.
• Operate, monitor, and maintain production systems, ensuring high availability and reliability.
• Contribute to CI/CD pipelines, automation, and infrastructure improvements.
• Design data collection pipelines and support LLM-based applications, including RAG systems and agentic technologies.
• Collaborate with cross-functional teams to prototype internal tools and data exploration interfaces.

Qualifications

• Proven experience as a Machine Learning or Backend Engineer with strong Python development skills.
• Hands-on experience with cloud platforms, particularly AWS (IAM, EKS/ECS, and core services).
• Experience building and scaling production applications.
• Knowledge of integrating internal and external services.
• Familiarity with LLMs, RAG systems, embedding vector databases, and agentic technologies preferred.
• Experience with data governance, structured data principles, and Feature Stores or ELT processes preferred.
• Strong problem-solving, communication, and collaboration skills.
• Ability to thrive in a fast-paced, remote-first work environment.

Benefits

• Fully remote role with flexibility to work from anywhere in the contiguous U.S.
• Competitive salary with equity/RSU opportunities.
• Medical, dental, and vision coverage with multiple plan options.
• Life and AD&D insurance, short-term and long-term disability coverage.
• 401(k) retirement plan.
• Paid time off including vacation, sick leave, and parental leave.
• Employee Assistance Program (EAP) and financial literacy mentoring.
• Home office stipend and pet insurance.
• Supportive, inclusive, and innovative work culture.