Founding AI Engineer; hybrid

Key Responsibilities

• Integrate and fine‑tune pre‑trained AI models (including NLP and LLMs) into our platform to extract data from structured and unstructured sources.
• Build workflows that convert extracted data into structured formats (Postgre
  
  SQL, Google Big Query) for clinical data platform use.
• Collaborate with external AI providers (OpenAI, AWS, Google, Anthropic, etc.) to ensure smooth integration of LLMs and AI services.
• Design and optimize prompts to drive accurate and contextually relevant data extraction.
• Design and implement agent‑based workflows that leverage AI for autonomous operations.
• Continuously refine integrated models to maximize accuracy, speed, and scalability with large datasets.
• Work closely with Data Scientists to ensure seamless data flow between extraction pipelines and downstream ML models.

• Bachelor's degree in Computer Science or related technical field required;
  Master's/PhD preferred.
• 3+ years in AI/ML engineering or integration, with hands‑on work in fine‑tuning LLMs, NLP models, and API‑based data extraction.
• Proficiency in Python (plus Node.js) and modern development practices (Git Hub, Jupyter, etc.).
• Experience with deep learning frameworks (PyTorch, Tensor Flow, JAX).
• Experience with ML/LLM packages (Hugging Face, Weights & Biases, Num Py, NLTK, etc.).
• Experience with OCR technologies for parsing unstructured text into structured data.
• Experience with vector embeddings, RAG architectures, and agentic frameworks for advanced GenAI applications.
• Experience designing data pipelines for preprocessing, cleaning, and preparing clinical data.
• Experience building evaluation frameworks to benchmark and validate model performance across diverse use cases.

• Rare opportunity to join at the ground floor of a high‑growth, mission‑driven startup.
• High exposure and true ownership in shaping products, strategy, and culture.
• Work alongside leadership team with proven record of building and exiting successful companies.
• Leadership team experience scaling a $250M+ health plan serving 45,000+ members.
• Direct impact on delivering better, more affordable care for older adults.
• Help build the future of healthcare through innovative AI solutions.

Join our mission to revolutionize healthcare with AI technology.

0 – 4 years of professional experience in software engineering with an AI/ML focus. Interested in scrappy new grads with entrepreneurial backgrounds and drive. Side projects and start‑up experience preferred.

• Strong experience as a backend engineer building production‑level workflows with backend services (AI knowledge is also needed and ML is great to have).
• Experience working in a fast‑moving startup environment or in a role that required strong ownership, creativity, and end‑to‑end product execution.
• 1+ year of experience building or integrating AI models in products, ideally with LLM fine tuning, neural search, or content personalization.
• Knowledge of agentic frameworks for GenAI applications (this is where we want them to move into eventually).
• Founder or founding engineer experience – able to build from scratch.

• Bachelor's degree in the U.S., ideally from a great university but flexible (UT Austin, Berkeley, Cornell, etc.).

• Strong in Python and experience with databases like Postgres.
• Experience with data pipeline design for sensitive or large‑scale data.
• Experience with AI and ML systems like data vector embeddings, RAG architectures, or deep learning frameworks (PyTorch, Tensor Flow, JAX).
• Familiar with a frontend language/framework like Node.js.
• Experience deploying AI infra services on AWS (or similar), containerization, and microservices.

• Someone who is creative and wants to work with everyone hands‑on to build the product.
• Strong communicator in English and ability to work with the founders and other stakeholders.
• Ready to join something earlier stage and build 0 → 1. They can take responsibility from concept to deployment.

• Must be a U.S. Citizen or Green Card holder.
• Ability to work in‑person in Dallas, TX or relocate.