Senior Full Stack LLM Developer (MLOps & Prompt Engineering Focus)

Location: Remote/Austin

Type: Full-Time

Reports to: Head of AI Team

Our Story 💡

At Titan Intake, we are united by a mission our founders experienced firsthand: the complexity and chaos of referral and intake workflows in healthcare. Whether as patients, operators, physicians, or technologists, we’ve lived the pain of broken access and inefficient coordination

What began as a purpose-built referral automation product has evolved into a full-stack AI-native SaaS platform designed to streamline patient access across health systems of all sizes. From independent surgical specialists to enterprise-scale networks, our goal is to help the helpers: enabling access teams to move faster, reduce delays, and deliver better care.

Titan is a mission-driven, AI-native SaaS company building the next generation of enterprise patient intake and document management solutions for healthcare. Our platform is cloud-native and LLM-first, leveraging the latest in AI to automate and streamline patient workflows.

Titan is pioneering an LLM-first architecture in the healthcare SaaS space, and we’re seeking a Senior Full Stack LLM Developer to drive the development of our AI-powered intake and automation systems. This role blends machine learning, MLOps, and full-stack engineering, ideal for someone passionate about building intelligent applications focused on healthcare document processing and automation.

Who You Are

We are looking for a Senior Full Stack Developer to design and implement a scalable, self-service onboarding portal for our enterprise healthcare clients. In this role, you will build intuitive tools that allow new healthcare organizations to configure and launch their patient access workflows with minimal friction. If you have experience building no-code onboarding portals and are excited about improving healthcare operations, we'd love to hear from you.

What You’ll Do

• Develop and deploy LLM-based document classification systems, specifically tailored to healthcare data.
• Build robust AI-driven solutions for extracting structured data from unstructured medical documents.
• Design and implement agentic workflows leveraging the latest foundational large language models.
• Establish robust MLOps pipelines (MLflow, Weights & Biases, AWS/Azure ML)
• Create advanced prompts and fine-tune foundational models to enhance Ai services accuracy.
• Implement feedback loops and continuous improvement processes based on real-time production data.
• Integrate AI capabilities seamlessly into the full-stack environment using Python and TypeScript.
• Ensure compliance with HIPAA standards and maintain high security for sensitive patient data.
• Collaborate cross-functionally with product, design, and healthcare experts to align AI solutions with business needs.

Must-Haves

• Experience working in a startup, especially a digital health, health tech, or SaaS startup
• Proven experience developing and deploying document classification models.
• Strong expertise in NLP and handling unstructured data extraction, particularly within healthcare.
• Proficiency in Python (ML pipelines, LLM integration) and TypeScript (application integration).
• Deep experience with MLOps tools such as MLflow, Weights & Biases, or equivalent.
• Deep experience with designing, deploying and maintaining MLOps / Eval pipelines in production environments
• Demonstrated success in prompt engineering and fine-tuning large language models.
• Familiarity with frameworks for managing AI workflows (e.g., LangChain / LangGraph, or similar).
• Experience ensuring robust HIPAA compliance and data security measures.
• Experience with cloud AI services (AWS SageMaker, Azure ML, Kubernetes deployments)
• Strong problem-solving skills, creativity, and comfort with open-ended AI problems
• Exceptional communication and collaboration capabilities, especially cross-functionally
• Master’s or PhD in CS, Data Science, ML, or related field (or equivalent experience)

Nice-to-Haves

• Prior experience with multi-agent systems or LLM orchestration frameworks.
• Experience with Robotic Process Automation integrations (platforms like UI Path, 
• Knowledge of healthcare standards (FHIR, HL7) and medical terminology.
• Contributions to open-source projects or publications in NLP/ML.
• Multi-agent systems or LLM orchestration frameworks (CrewAI, LangGraph).
• Experience capturing and utilizing human-in-the-loop feedback.
• Prior healthcare or regulated-industry AI deployment experience (FHIR, medical terminology).
• Publications in NLP/ML or contributions to relevant open-source projects.
• Experience as team lead and technical planning.
• Experience working in a SCRUM/Agile environment.

About the Team

You'll get to work with:

• CEO/CTO, aligning on vision and product roadmap
• Head of Infrastructure and DevOps
• Head of Application Development, Head of AI, and Head of Integrations

We’re a smart and scrappy globally remote team that genuinely enjoys working together, takes our mission seriously (but not ourselves), and values empathy, transparency, and a bias toward action.

Our Hiring Process

• 30-minute screen with a recruiter.
• 40-minute call with the hiring manager.
• Call with Founders (each).
• A dev/integration coding challenge- assigned to Head of AI.
• Call with the Head of AI Team to review the coding challenge.
• Offer!

Why Titan?

• Competitive Salary and Benefits.
• Remote-friendly team.
• Mission-driven work solving meaningful problems in healthcare.
• Culture of learning, collaboration, and ownership and growth.