Role Description TJM Labs is looking for a Full Stack Engineer to join our growing team. This is an excellent opportunity for someone early in their software engineering career who enjoys solving problems, building thoughtful solutions, and learning quickly in a fast-paced remote environment. As a Full Stack Engineer, you’ll support the development of internal tools, automations, and software products that help drive our business forward. You’ll work closely with technical team members to build practical solutions, troubleshoot issues, and contribute to ongoing product improvements. - Design, build, and maintain software applications, services, and internal tools. - Develop new automation solutions and product features for pharmacy workflows. - Build and maintain integrations with third-party systems and APIs. - Troubleshoot production issues and improve system reliability and performance. - Write clean, maintainable, and well-tested code. - Participate in code reviews and technical discussions. - Collaborate with teammates to plan, scope, and deliver projects. - Use modern development tools, including AI-assisted workflows, to improve productivity and software quality. - Identify opportunities to simplify processes and improve engineering efficiency. - Contribute to architecture and technical design decisions as the platform grows. Qualifications - 3+ years of software development experience. - Strong experience with Python. - Experience building web applications, APIs, or backend systems. - Experience with Git, GitHub, and modern software development workflows. - Familiarity with databases and data modeling. - Strong debugging, troubleshooting, and problem-solving skills. - Ability to work independently in a remote environment. - Clear written and verbal English communication skills. - Strong sense of ownership and accountability. Requirements - Experience with JavaScript, TypeScript, React, or modern frontend frameworks. - Experience building AI-powered applications, automations, or workflow systems. - Experience working with cloud infrastructure and deployment pipelines. - Experience integrating with third-party platforms and APIs. - Familiarity with healthcare technology or regulated industries. - Experience working at a startup or high-growth company. Benefits - Fully remote work environment. - Competitive compensation. - Meaningful projects with direct business impact. - High ownership and autonomy. - Opportunity to work with AI-driven technologies and modern development tools. - A collaborative team focused on solving real problems for healthcare customers.

Role Description We are looking for a Staff Software Engineer, AI with deep expertise to set the technical direction and define the architecture for advanced language and voice technologies that transform how patients and providers interact. In this strategic role, you will be a key contributor, mentoring senior engineers and driving Fabric’s most complex work across a range of AI and ML applications and techniques. This is a high-leverage, technical leadership position at the core of Fabric’s production engineering vision. You will work cross-functionally to pioneer novel and impactful applications of machine learning, agentic AI, and other modern technologies to meet Fabric’s existing and future business needs. What You'll Do - Define the end-to-end architecture for mission-critical ML/AI applications and own the entire SDLC of those applications. - Pioneer and drive the productionization of ML and AI features in Python, integrating them seamlessly with core backend services. - Set technical standards and provide mentorship to the engineering team, raising the overall technical bar and driving best practices. - Partner with product and medical teams to architect appropriate, responsible safeguards and business constraints for all AI outputs at a system level. - Collaborate with engineering leadership to design and evolve robust interfaces for the Data Science team’s applications, so they can be used by a wide array of products across the organization. - Lead the way in designing and implementing automated evaluation frameworks to rigorously measure the accuracy, fairness, and performance of our systems. - Serve as the technical owner for existing NLP and AI diagnosis production components, overseeing their maintenance and strategic improvement. - Develop and drive adoption of comprehensive analytics to monitor system performance, identify systemic bottlenecks, and strategically prioritize improvements. - Lead the organization's strategy for getting the most out of AWS Bedrock, focusing on resilience and cost-efficiency. - Maintain a technical vision by rapidly researching, prototyping, and introducing new AI tools, APIs, and architectures that align with company needs. - Shape Fabric’s long-term AI strategy and contribute significantly to the future of healthcare AI. Qualifications - A master's degree in a related field, or; - 8+ years of experience in software engineering or applied machine learning, with a strong focus on building real-world AI/ML systems, or; - Strong experience in developing healthcare-specific AI/ML solutions; or - Demonstrable experience developing novel, highly impactful AI/ML solutions that handle sensitive data. - Proficiency in backend software engineering using Python. - Solid understanding of embeddings and embedding databases. - Familiarity with modern AI/ML frameworks and tools, with constant attention to new tools, trends, and technologies. - Experience building and deploying cloud-native applications on AWS. - Demonstrated ability to bring models from research to production, solving for latency, scale, and reliability. - Effective communication skills and the ability to work across disciplines in a fast-paced, agile environment. - Strong technical leadership skills, with a particular focus on growing and supporting a skilled, senior-level team. Bonus Points - Prior work on multimodal AI interfaces or agent-based dialogue systems. - Experience hosting, scaling, and fine-tuning open-source models. - A passionate interest in improving healthcare access and outcomes through applied AI. Requirements The national pay range for this role is $165,000.00 - $210,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options, and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.

• Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments. • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation. • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations • Optimize model inference pipelines for performance, cost, and scalability in production environments • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior. • Collaborate with data scientists to productionise ML models and forecasting algorithms

• Own the design, development, testing, and support of full-stack features across .NET backend services and Angular frontend applications • Build and maintain APIs and microservices in a distributed, cloud-native architecture • Contribute to container orchestration and deployment workflows using Azure Kubernetes Service (AKS) and Docker • Collaborate with product managers, architects, and cross-functional Agile teams to translate business requirements into robust technical solutions • Participate in code reviews, architectural discussions, and sprint ceremonies; provide technical mentorship to junior engineers • Identify and address performance, reliability, and scalability gaps across assigned services • Leverage AI-assisted development tools (such as Claude Code) to accelerate implementation, code review, and documentation workflows • Support production systems, contribute to incident retrospectives, and implement preventive engineering improvements • Stay current with emerging technologies and advocate for engineering best practices within the team