• Own the Problem: Take accountability for the outcome, talk directly to your users, stakeholders, and peers to discover the problem, translate business intents into functional requirements, determine where human judgment is non-negotiable, and own the technical requirements. • Build with AI: Write production-quality code across the stack (Python, Django, AWS, React, PostgreSQL), direct agents, evaluate and improve agent output, run projects spanning other Product Engineers and agents, and contribute to architectural decisions. • Verify and Iterate: Surface delivery risks early, verify the end-to-end result, drive adoption of what you ship, monitor services in production, participate in support rotations, and iterate until you move the needle. • Raise the Bar: Grow quickly, be aware of technical debt trade-offs, and operate to the engineering standards for quality, reliability, and operational excellence.

Role Description Join us as a Forward Deployed Engineer (FDE), where you’ll embed directly with our MDLive virtual care team to deliver impactful, production-grade AI solutions that enhance patient and provider experiences. This is a highly visible role where your work directly influences clinical outcomes, operational efficiency, and the future of AI in healthcare. As part of the AI Enablement Office (AIEO), you’ll combine technical depth with business partnership to accelerate responsible, scalable innovation. What You’ll Do - Drive End-to-End AI Solution Delivery - Own full lifecycle delivery of AI solutions—from problem framing through production deployment and adoption—aligned to MDLive business priorities. - Design and build AI applications using LLMs, RAG architectures, agentic workflows, and hybrid approaches tailored to clinical and operational workflows. - Translate ambiguous business problems into actionable technical solutions that deliver measurable outcomes. - Embed with the Business and Deliver Value - Partner directly with MDLive stakeholders to identify high-impact opportunities and rapidly iterate on solutions. - Operate in a sprint-based model with continuous feedback loops and visible progress toward defined outcomes. - Make informed technical tradeoffs, adapting scope and approach as business needs evolve. - Lead Stakeholder Engagement - Serve as the primary technical interface across product, engineering, and business teams. - Communicate AI capabilities, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. - Facilitate collaboration with security, legal, compliance, and data teams to ensure responsible and scalable delivery. - Mentor peers on practical AI delivery and production readiness. - Build for Scale and Reuse - Productionize solutions with strong observability, evaluation frameworks, and cost controls. - Extract repeatable patterns, components, and best practices to accelerate enterprise-wide adoption. - Document architectures and decisions to enable scalability and knowledge sharing. Qualifications - 5+ years of experience in software engineering, data engineering, or AI/ML engineering with a track record of delivering production systems. - Hands-on experience building GenAI applications using LLMs, RAG pipelines, or agentic workflows. - Strong proficiency in Python and experience with at least one additional language (e.g., Java, TypeScript, Go, SQL). - Experience working with cloud platforms (AWS, Azure, or GCP), including deployment, observability, and scalable systems. - Ability to translate business workflows into technical solutions in fast-paced, ambiguous environments. - Strong communication skills with the ability to engage both technical teams and business leaders. - Experience working across teams and influencing without direct authority. Requirements - Experience in healthcare, telehealth, or regulated industries (e.g., insurance, pharmacy, care delivery). - Familiarity with HIPAA-aligned practices, responsible AI governance, and model risk management. - Experience in forward-deployed, solutions engineering, or technical advisory roles. - Experience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI. - Understanding of responsible AI principles including privacy, bias mitigation, explainability, and human oversight. Benefits - If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

• Investigating, architecting, designing and implementing new solutions and adding new features or functions to existing solutions to meet business needs. • Understand the business problem to be solved. • Lead or participate in requirements gathering to feed an iterative-based methodology. • Identify and use packaged software and SaaS products to integrate with new and existing solutions. • Proficiently install and integrate software components. • Design solutions using an iterative, test-driven methodology. • Write unit tests and perform validation using contemporary tools, moving towards continuous development and integration. • Prepare production-ready code. • Gather, design, implement and test data needs using Oracle, Microsoft, or other data repositories. • Use a responsive design framework to develop and design User Interface or User Experience. • Peer review software design and code with other software engineers or software architects, depending on complexity. • Utilize prototyping when introducing new approaches or techniques. • Exercise proficient development in multiple modern programming/development languages. • Ensure all software architecture and designs adhere to enterprise-level application security best practices. • Build and automate the deployment of components and solutions into production using contemporary and emerging platforms, technology and software engineering methods, and applying knowledge of current industry toolsets.

• Be accountable for Technology, Infrastructure, & Operations projects that impact company security and operational efficiency. • Maintain applications, systems, network, and/or telecommunications infrastructure to provide operational integrity and meet best practice guidelines for operational availability. • Assist all teams with development and communication of strategic planning, project planning and plans for ongoing development of technological solutions. • Provide some third-tier support for Service Desk and Tier-2 support for System Administrators. • Initiate projects and provide direction to management on technical matters. • Identify what needs to be done and act before being asked to or required by the situation. • Communicate with departmental personnel to ensure effective deployment of technologies. • Serve as technical resource for departmental and company-wide IT solutions. • Maintain knowledge of associated company management software, architectures, telecommunication products and services. • Support and collaborate with team members, software vendors, and other technical staff on project efforts to achieve implementation plans and timelines. • Understand the quality improvement process, create new processes and documentation, and produce desired outcomes with a minimum of effort.