Lead Software Engineer; AI - Onsite - Reston, VA - Freewheel
Listed on 2026-07-17
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, Machine Learning/ ML Engineer
Job Summary
This job leads the design and delivery of AI-enabled product capabilities that bring agentic workflows, intelligent automation, and practical decision support into Free Wheel's applications. It helps create reusable patterns and scalable solutions that allow teams to apply AI consistently across products, business workflows, and customer-facing experiences while ensuring those capabilities are reliable, useful, and maintainable. The role is pivotal in driving product innovation, cross-functional alignment, and the ongoing improvement of AI capabilities that support Free Wheel's business and product objectives.
Preferred Qualifications- 6+ years of experience in software engineering, with strong focus on AI/ML systems in production
- Strong programming skills in Python (Go a plus)
- Experience building and deploying
Agentsor LLM-based applications into production environments - Experience with distributed systems and real-time inference architectures
- Knowledge of core AI domains such as NLP, recommendation systems, or time series modeling
- Experience with model lifecycle practices (evaluation, monitoring, retraining, and iteration)
- Experience with cloud platforms (AWS, Azure, or GCP) and AI tooling ecosystems
- Ability to translate business problems into scalable AI solutions and drive implementation end-to-end
- Created, enabled, and drove innovation by bringing agentic workflows and AI capabilities into Free Wheel's applications, helping teams unlock new ways to automate work, improve decision-making, and deliver more intelligent product experiences.
- Led design and development of AI-enabled product capabilities, including services and workflows that help teams deliver practical insights and automation.
- Ensured AI features are reliable, useful, and maintainable as they move from development into customer-facing products.
- Established reusable patterns that help teams apply AI capabilities consistently across applications and business workflows.
- Designed and delivered AI solutions that meet product and business requirements across modern cloud-based environments.
- Understood how AI capabilities connect across products and services so teams can troubleshoot issues, assess impact, and improve outcomes.
- Partnered with product, data, and other engineering teams to clarify business problems and turn them into scalable AI-enabled solutions.
- Improved performance, responsiveness, cost, and scalability for AI-powered features.
- Contributed to technical decisions that shape how AI capabilities are built, evaluated, and improved over time.
- Led major technical initiatives and collaborated across teams to deliver high-quality product outcomes.
- Mentored engineers on practical AI development, system design, and production-quality engineering practices.
- Consistently exercised independent judgment and discretion in matters of significance.
- Regular, consistent, and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned.
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Mentorship;
Technical Requirements;
Software Engineering; AI Agents
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