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: We’re 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: We’ve 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. We’re looking for someone who has the fire to prove others wrong 🚀
About the roleWe 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. You’ll be responsible for the end-to-end lifecycle of our AI systems—from experimentation to production deployment and ongoing optimization.Beyond 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 [email protected] to learn more.
What you’ll be working on:Leverage prompt-engineering, retrieval-augmented generation, model experimentation, and benchmarking to optimize performance of Solstice’s 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.
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.
Medical insurance
Relocation support
Opportunity to work at a high-velocity and high-energy startup
Visa sponsorship (O-1) for internationals
