Solstice Health Logo

Solstice Health

Founding Full-Stack Engineer (Backend-leaning)

Reposted 4 Days Ago
In-Office
New York, NY, USA
150K-275K Annually
Entry level
In-Office
New York, NY, USA
150K-275K Annually
Entry level
As a founding full-stack engineer, you'll design APIs, manage backend services, deploy LLM agents, and ensure compliance while collaborating with co-founders.
The summary above was generated by AI
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: 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 role

We’re building Solstice to automate compliant, reference-backed pharma marketing. As a founding full-stack engineer, you’ll own core parts of the application stack, designing APIs, background workflows, and deployment pipelines, and you’ll be responsible for packaging and shipping LLM “agents” to production. 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 as we ship fast, safe, and observable systems. Reach out to [email protected] to learn more.

What you’ll be working on
  • Backend services & APIs: Build and harden FastAPI services; design clean interfaces for ingestion, retrieval, annotation, and compliance checks.

  • Workers & queues: Stand up a reliable background job platform with Celery + Redis (scheduling, retries, idempotency, backoff, result stores).

  • Agent deployment: Package LLM/RAG agents (e.g., LangGraph/LangChain) into production service.

  • Cloud & infra: Ship to AWS, manage secrets, networking, autoscaling, and cost controls.

  • Integrations: Building robust, enterprise integrations with cloud platforms such as Veeva Promomats, Adobe, and Figma.

  • Pipelines & files: Orchestrate file processing (PDFs, images), OCR, embedding pipelines, and metadata enrichment at scale (S3-first design).

  • Data layer: Model clean schemas and access patterns for Postgres; use Redis for caching and rate-limiting; integrate vector DBs (Pinecone).

  • Frontend touchpoints: Contribute to our Next.js frontend where necessary.

Some ideal traits we’re 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

Similar Jobs

8 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
170K-225K Annually
Senior level
170K-225K Annually
Senior level
eCommerce • Information Technology • Sharing Economy • Software
Lead the end-to-end development and operation of machine learning systems supporting customer retention, ranking, matching, recommendations, pricing, and lifetime value growth. Build scalable data pipelines and ML infrastructure across batch and real-time environments, while implementing model monitoring, observability, deployment, and performance optimization. Collaborate across engineering and science teams and promote strong software engineering practices.
Top Skills: AirflowAmazon RedshiftBigQueryCi/CdData LakesDbtDockerGithub ActionsKafkaKubernetesLightgbmPythonPyTorchRest ApisScikit-LearnSnowflakeSQLTensorFlowXgboost
8 Minutes Ago
In-Office or Remote
New York, NY, USA
73K-100K Annually
Senior level
73K-100K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Evaluates life and disability insurance applications, assesses medical and mortality risks, determines eligibility and underwriting decisions within authority limits, reviews contestable claims, requests additional documentation, and communicates with internal teams and third-party administrators. The role also maintains underwriting records, meets production and service standards, trains new underwriters, and applies medical underwriting guidelines to complex, non-standard applications.
8 Minutes Ago
Hybrid
New York, NY, USA
75K-107K Annually
Entry level
75K-107K Annually
Entry level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manage a portfolio of commercial mortgage loans from funding through disposition. Analyze financial statements and rent rolls, assess credit risks and covenant compliance, handle borrower requests, monitor watchlist loans, support loan modifications, maintain borrower relationships, improve operational processes, and ensure accurate loan data and reporting. The role requires a bachelor's degree, commercial real estate and capital markets knowledge, financial modeling experience, and strong analytical and communication skills.
Top Skills: ArgusExcel

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account