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Founding Engineer (Applied AI & ML Ops)

Solstice Health


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 16 September 2026 (5 hours ago)
Application Deadline: 14 December 2026
Vacancies: 1 Vacancy

Job Summary

Why you should join us

Solstice is redefining how life sciences organizations commercialize their products. We are building a commercial engine that allows pharmaceutical marketers to take control of their content supply chain. Some reasons for why you should join us are:

  • Rapid growth: Over the past year we have been working with some of the top life sciences manufacturers as well as marketing agencies and are working with over 50 pharma brands.

  • Frontiers of technology: Were building applications and rapidly iterating technical approaches at the frontiers of AI experimenting with LLMs and new frameworks. We have V2 of the platform currently deployed to customers but are incorporating new advanced frameworks to our solution aggressively.

  • Top-tier investors: Weve raised $3.5mm from investors like Twelve Below Virtue and the founders of Datavant Commure and Paradigm to supercharge our growth and build an elite team of engineers and operators.

Building anything great requires commitment and dedication. Were looking for someone who has the fire to prove others wrong

About the role

We are in search of an ML operations engineer who has the drive required to be a part of a founding team looking to tackle a difficult but meaningful problem. Youll be responsible for the end-to-end lifecycle of our AI systemsfrom experimentation to production deployment and ongoing development you will be collaborating closely with co-founders Yiwen and Aris on all facets of the startup as we grow Solstice in the coming years. Reach out to to learn more.

What youll be working on:
  • Leverage prompt-engineering retrieval-augmented generation model experimentation and benchmarking to optimize performance of Solstices platform on real biopharma marketing data.

  • Wrangle proprietary commercial & marketing brand data into complex LLM pipelines to produce high-quality compliant life sciences marketing content.

  • Implement ML Ops best practices including CI/CD pipelines for ML model versioning automated testing and monitoring.

  • Developing LLM eval infrastructure to store analyze and iterate on LLM outputs and the feedback we receive from clients

  • Scope architect and build SOTA agents and pipelines while supporting customers directly.

  • Flex across the full stack (frontend backend infra) to build whatever is necessary to support our customers.

Some ideal traits were looking for
  • Engineering chops. Relevant experience building systems & deploying enterprise-grade products

  • Independent thinking. While we believe specific skills can be taught we need someone who has the ability to make decisions and drive results on their own.

  • Strong proficiency in full-stack web development technologies such as Python FastAPI Docker AWS

  • Experience working with LLMs such as GPT Claude and Gemini to create LLM-based workflows RAG Pipelines and agentic solutions. (Either formally or through projects/experimentation)

  • Superb communication and collaboration skills. We believe in direct communication and willingness to provide as well as accept criticism.

  • Unreal work ethic. Diamonds were not made overnight.

Benefits
  • Medical insurance

  • Relocation support

  • Opportunity to work at a high-velocity and high-energy startup

  • Visa sponsorship (O-1) for internationals


Required Experience:

IC