Role Description We are looking for an experienced Team Lead to guide our Core AI Agentic Development Team. This role demands a dual focus: maintaining a hands-on technical presence while providing mentorship, architectural guidance, and leadership to a team of Senior AI Engineers. The Team Lead will oversee the end-to-end development of complex, orchestrated agentic systems aimed at revolutionizing healthcare revenue cycle management and optimizing accounts receivable processes. - Lead the design and delivery of scalable, multi-agent AI systems, providing architectural direction for complex agent orchestration and enterprise integration. - Oversee end-to-end development of agentic applications, ensuring alignment with business goals, performance standards, and healthcare revenue cycle requirements. - Mentor and guide a team of AI engineers through hands-on technical leadership, fostering best practices in LLM development, Python engineering, and system design. - Establish and enforce engineering standards, conducting code reviews and ensuring high-quality, maintainable implementations of agent-based systems. - Architect and implement supervisor (“oracle”) agent frameworks to manage task delegation, validate outputs, and maintain system integrity. - Drive the development of agents that interact with APIs, legacy systems, and UI/voice interfaces to automate complex operational workflows. - Define and implement governance, monitoring, and guardrail strategies to ensure safe, compliant, and reliable behavior of AI systems in production. - Partner with cross-functional stakeholders (product, operations, and domain experts) to translate complex requirements into scalable technical solutions. Qualifications - Demonstrate elite technical skills expected of Senior AI Engineers, including advanced Python proficiency, production LLM deployment, and mastery of orchestration frameworks like crew.ai. - Possess deep technical knowledge in building scalable agent architectures, focusing heavily on system integration, guardrails, and governance. - Direct experience in architecting robust multi-agent orchestration systems, including the deployment of oracle/supervisor agents to manage task delegation and output verification. - Leading the development of agents that interact with legacy and modern systems via APIs, computer use (UI automation), and voice AI. - Establishing rigorous agent governance and safety guardrails to ensure compliance and reliability in production. - Experience in a team leadership or technical lead capacity, guiding software development teams through the entire product lifecycle using agile methodologies. - Conducting rigorous code reviews and establishing engineering standards specifically for agentic application development. - Mentoring engineers and fostering a culture of continuous learning around rapidly evolving AI technologies. - Collaborating with cross-functional stakeholders to translate complex requirements into actionable technical architectures. Requirements - A quiet, distraction-free environment to work from in your home. - A secure internet connection is required. - Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads. - The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive. Benefits - We offer paid training and incentive plans. - Our medical, dental, vision, and life insurance benefits are available from the first day of employment. - We enjoy excellent work/life balance. - Our Employee Resource Groups build community and foster a culture of belonging and inclusion. - We match 401(k) contributions. - We offer career growth opportunities. - We celebrate 12 paid holidays and generous paid time off. Company Description Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.

• You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. • You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food.

• Design and maintain robust ML deployment pipelines to ensure seamless model delivery. • Automate model training, deployment, and monitoring workflows to increase operational efficiency. • Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments. • Optimize cloud-based infrastructure to enhance the scalability and reliability of ML systems. • Implement CI/CD best practices specifically tailored for machine learning lifecycles. • Monitor production systems and proactively troubleshoot performance or governance issues.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We’re looking for an AI/ML Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: In your role as an AI/ML Engineer, you will collaborate with a cross-functional data team comprising of DevSecOps engineers, Product Owners, Data Engineers and Data Scientists. Your primary responsibility will be to develop machine learning models that are integral to a larger pipeline delivering value to our end customers. What we are looking for: - 3+ years of relevant hands-on experience, or a PhD in a related field with demonstrated practical application - Practical experience in Machine Learning models and Software Engineering - A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams - Experience building and maintaining machine learning platforms and pipelines - Experience in building machine learning models, and - Experience in using data processing frameworks (Apache Spark preferred) - Practical programming and scripting skills (Python preferred) - Fast learner, analytical thinker, creative, hands-on, strong communication skills - Able to work both independently and as part of a team - Excellent problem-solving skills and attention to detail. - Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps - Obtain Security+ within the first 90 days of employment with Raft Highly preferred: - PhD graduate - Publications or GitHub repos showcasing your skills Clearance Requirements: - Ability to obtain a Top Secret clearance with potential for SCI Salary: - $110,000-$165,000 - The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities Work Type: - Can work remotely from any of the following locations: Tampa FL, Hanscom AFB, Colorado Springs CO, San Diego CA, Tacoma WA, NCR (DC) - May require up to 35% travel What we will offer you: - Highly competitive salary - Fully covered healthcare, dental, and vision coverage - 401(k) and company match - Take as you need PTO + 11 paid holidays - Education & training benefits - Annual budget for your tech/gadgets needs - Generous Referral Bonuses - And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.