Senior AI Application Engineer

About us: Foodsmart is the leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver long-term health outcomes. Through our highly personalized, digital platform, we guide our 2.2 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money. Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG's Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations' Sustainable Development Goals. This investment will help us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment: Measured: We make data-driven, truth-seeking decisions. Impactful: We are fueled by achieving our mission and vision. Collaborative: We help each other be better and create a positive environment. Hungry: We maintain a healthy growth mindset, seeking to overcome challenges with courage. Joyful: We take joy in each other, our work, and the privilege of doing this work. Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food. About the role: As a Senior Fullstack Engineer at our company, you will play a crucial role in developing both the user-facing frontend and the backend systems powering the Foodsmart platform. You'll be responsible for designing and maintaining scalable, high-performance web applications and backend services. You will work closely with both frontend and backend teams to create efficient APIs, manage data, and ensure a seamless user experience. Your contributions will directly impact the lives of our users, helping to bridge the gap between personalized nutrition seekers and registered dietitians providing expert guidance. You'll have a passion for coding and a deep understanding of web technologies, enabling you to contribute to every layer of the product stack. AI-Driven Application Development Leverage Cursor, MCP servers, and OpenAI agents to accelerate development and build intelligent, AI-powered capabilities. Integrate AI services into both backend systems and frontend user experiences. Evaluate, fine-tune, and apply LLMs and AI models to solve real business problems. Collaborate with AI/ML teams to bring models from experimentation to production. Full-Stack Engineering Develop and maintain core features of the full-stack Foodsmart web application. Build responsive, accessible, and intuitive interfaces in collaboration with UX/UI designers. Implement scalable backend systems, APIs, and data flows supporting both AI and traditional features. Design and integrate RESTful APIs and third-party services. Quality, Debugging & Operations Debug, troubleshoot, and resolve issues across the entire stack—including AI pipelines. Proactively monitor and optimize system performance, reliability, scalability, and cost efficiency. Contribute to improving observability, testing coverage, and operational reliability. Collaboration & Delivery Work closely with product managers to refine requirements and translate them into technical solutions. Engage in code reviews, architectural discussions, and cross-team planning efforts. Communicate technical decisions, trade-offs, and progress to technical and non-technical stakeholders. Continuous Improvement Stay up-to-date on emerging AI, frontend, backend, and cloud technologies. Identify opportunities to leverage modern tools—including low-code platforms like Retool—to accelerate internal workflows. Contribute to shaping engineering best practices and improving development processes. You are: Proficient in using Cursor, MCP servers, and OpenAI agents to accelerate development and build AI-driven applications. Strong in software engineering fundamentals: algorithms, data structures, system design, and distributed application patterns. Skilled in both frontend and backend development using modern tools and frameworks. Strong at designing, consuming, and maintaining effective RESTful APIs. Experienced with SQL and NoSQL database systems. Excellent at debugging, performance optimization, and solving complex technical problems. A collaborative communicator who thrives in cross-functional environments. You have: 8+ years of professional experience in full-stack or AI application development. Deep experience with , JavaScript, TypeScript , and strong backend experience with . Proven experience leveraging Cursor, MCP servers, and OpenAI agents in real applications. Strong background designing and integrating RESTful APIs. Deep experience with relational (MySQL, PostgreSQL) and non-relational (DynamoDB) databases. Familiarity with AWS services (Lambda, SQS, RDS, S3, SNS, EC2). Experience with Docker , container orchestration (e.g., Kubernetes), and cloud infrastructure. Experience selecting, integrating, or fine-tuning AI/ML/LLM models. Experience deploying and operating AI/ML models in production environments. BS or MS in Computer Science or a related field. Preferred QualificationsExperience with LLM ecosystems (OpenAI, Anthropic, Llama), including fine-tuning, embeddings, and RAG pipelines. Experience building AI-driven experiences such as chatbots, recommendation engines, or workflow automations. Familiarity with vector databases and prompt engineering. Experience with MLOps tools (MLflow, Weights & Biases, SageMaker Pipelines).