Senior AI Engineer
Posted on December 10, 2025 (about 19 hours ago)
About Us
Tala Health was built to transform a healthcare system that remains slow, expensive and inefficient. Todays patients often face a fragmented system that requires juggling doctor visits, lab work, referrals and long wait times just to reach a diagnosis. With Tala Health, patients will receive a new kind of care experience that brings AI agents and clinicians together from the start to deliver accurate, personalized care faster. We are building AI agents to support the full arc of the patient journey.
The Opportunity: Senior AI Engineer
Healthcare is adopting AI at record speed, and we need an engineer who can guide that transition. As a Senior AI Engineer, owningthe journey from early-stage AI ideas to scalable, production-grade systems that clinicians can trust and use daily.
Along the way, performance, security, and cost efficiency remain top of mind, and youll design for each from the outset. Research insights wont sit on a shelfyoull distill them into clean, maintainable code. Close collaboration with product managers and designers ensures every release addresses real clinical workflows. Ultimately, the standards you set will define the quality bar for our entire AI stack.
What You'll Do
- Ship AI agents end-to-end which help ease clinical workflows: integrate existing infrastructure or architect new pipelines when necessary.
- Continuously improve product performance through experiments, user research, and usage analytics.
- Translate research into scalable systems: pick the right models, design rigorous evaluations, optimize for speed and cost, monitor in production.
- Own 0 to 1 breakthroughs: Prototype and launch first-of-their-kind AI featuresfrom fine-tuned LLM workflows to novel clinical documentation tools.
- Co-author the roadmap: partner with product & design while retainingownership of the technical stack and long-term AI architecture.
What You'll Bring
- 5+ years software engineering, including 2+ years building AI systems (1+ year in generative AI is a big plus).
- Fluency in Python or TypeScript.
- Proven experience designing and scaling ML-powered systems, ideally in regulated or high-stakes environments.
- Experience with cloud platforms (AWS/GCP/Azure)
- Familiarity with CI/CD pipelines (e.g., GitHub Actions).
- Comfort with Docker, Kubernetes, and serving infra (Triton, TorchServe, FastAPI).
- Comfort with MLOps tools: MLflow, Weights & Biases, Kubeflow, Airflow, etc.
- Familiarity with data anonymization, access control, and encryption standards.
- Understanding of regulatory frameworks like HIPAA (US), DPDP (India), or MDR (EU).
- Experience designing custom eval pipelines for LLMs (e.g., using RAG, prompt evals, hallucination detection).
- Ability to design AI systems with auditing and explainability in mind.
- Bonus: Familiarity with EHR systems, medical ontologies, or clinical workflows.
- Strong communicator who thrives in ambiguityable to align stakeholders across product, design, and clinical teams.
Ready to build the future of healthcare? Lets get in touch.
How to Apply
Please visit the Tala Health careers page to submit your application. You will need to provide your name, email, phone number, and upload your resume/CV. After submission, a member of the team will be in touch with you shortly.
Application Process
Fill out the careers form on the Tala Health website with your details and resume/CV. Then click the Apply Now button to send your application.