Member of Technical Staff - Fullstack AI Engineer

Why you should join us

At Solstice, we're building AI software that helps life sciences teams turn complex scientific and brand information into marketing content they can create, refine, and review with confidence. We've worked with leading life sciences manufacturers and more than 50 pharma brands. You'll build the systems and experiences that make this work faster and easier.

• Build the foundation for how people work with AI. Your work will span the infrastructure that runs agents and the product experiences that help customers direct, inspect, and use their output.

• Take on engineering problems with depth. Make long-running agents reliable, stream progress into responsive interfaces, deliver the right context securely, and understand what happens across every step of execution.

• Have a direct hand in what we build. Join an early team where you'll shape architecture, make product tradeoffs, and work closely with our co-founders, Yiwen and Aris. You'll see your decisions reach customers and use their feedback to improve the product.

We're backed by Transformation Capital, Twelve Below, Virtue, and the founders of Datavant, Commure, and Paradigm.

We're looking for a Fullstack AI Engineer to build and maintain our agent platform and bring its capabilities into the product. You'll own work across backend services, APIs, agent orchestration, and customer-facing interfaces, with a strong focus on Python and platform engineering.

Python is our primary backend language, and FastAPI powers our APIs. You'll help decide how agents run, recover from failures, access tools and context, and communicate with the application. You'll also build the React and Next.js experiences that give users visibility and control over that work.

You’ll partner with product, design, Applied AI, and the broader engineering team to take problems from an initial idea through architecture, implementation, and production. The scope includes both building new capabilities and making the systems behind them easier to operate and extend.

• Build and maintain the agent platform. Use Python, FastAPI, Restate, and Redis to build the shared systems that power our agents. Shape session management, orchestration, tool access, and context delivery so new AI capabilities can build on a dependable foundation.

• Design APIs that power the product. Build Python and FastAPI services for content creation, document processing, collaboration, and enterprise integrations. Design clear API contracts and PostgreSQL data models that make complex workflows straightforward to build on.

• Solve the hard parts of agent execution. Make long-running workflows recover from failures, handle cancellation and retries, and run in isolated environments. Give agents current documents, assets, and brand context while keeping customer data and permissions properly scoped.

• Bring AI workflows to life in the product. Build with React, Next.js, and Type Script to show streaming progress and tool activity, support reconnectable sessions, and give users intuitive ways to review, accept, or refine AI output.

• Make the whole system observable. Connect APIs, orchestration, and agent execution through Datadog and Open Telemetry tracing, structured logs, metrics, and alerts. Build the visibility to explain failures, find bottlenecks, and improve latency, reliability, and cost.

• Make quality measurable. Partner with Applied AI engineers on evaluations and regression checks, using tools such as Braintrust alongside API and integration tests. Turn production traces and customer feedback into better agent behavior and more dependable releases.

• Own the path from idea to production. Work with product and customer teams to choose the right problems, make…