Work directly with pharmaceutical customers to understand workflows and design, prototype, integrate, and deploy AI-powered solutions. Translate ambiguous requirements into technical architectures, build Python-based integrations and data workflows, lead technical discovery and implementation workshops, debug APIs and cloud deployments, and collaborate with customer and internal engineering teams. Bring recurring customer needs to product and engineering while supporting regulated enterprise AI deployments.
We’re building the next generation of conversational voice and video AI for life sciences—intelligent with 100% regulatory compliance. Our AI medical experts help pharma teams engage doctors, support patients, and unlock insights faster than ever before. We’ve just raised our seed, signed our first customers, and are scaling fast. If you're excited about building real-world AI in an early stage startup and shape not just our product, but our identity and culture —this is your moment.
We move like owners. Everyone at SynthioLabs has the autonomy and the responsibility to drive projects, challenge decisions, and push things forward. We don’t wait for permission. If you see a gap, you fill it. If you see a better way, you try it.
We ask “why” until we get to the root. We explore new ideas, research papers, every single edge case and anything that sharpens our understanding.
We use AI like a second brain. From writing code to writing docs, debugging flows to exploring new ideas, AI is part of our daily rhythm. Everyone here gets hands-on with the tools, learns how to prompt better, and treats AI as a teammate.
Synthio is looking for Solutions Engineers with strong engineering backgrounds who are exceptional at working with customers. You will work directly with leading pharmaceutical companies to understand complex workflows, design AI-powered solutions, prototype them with customers, and help take them into production. You will sit at the intersection of customers, engineering, product, and AI.
What You’ll Do
- Work directly with pharma customers to understand workflows, technical environments, data, and business requirements.
- Translate ambiguous customer problems into clear technical architectures and implementation plans.
- Design solutions using Synthio's AI products, APIs, data infrastructure, and integrations.
- Build prototypes, integrations, scripts, data workflows, and lightweight applications when needed.
- Lead technical discovery, architecture discussions, demos, pilots, and implementation workshops.
- Work with customer engineering, security, infrastructure, data, and business teams to move deployments forward.
- Debug integration and deployment issues across APIs, data, cloud infrastructure, authentication, and AI behavior.
- Bring recurring customer needs back to product and engineering to improve reusable platform capabilities
- 3+ years of experience across software engineering, solutions engineering, forward-deployed engineering, technical consulting, or similar roles.
- Prior hands-on software engineering experience with strong Python and API fundamentals.
- Comfort working with LLMs and modern AI application architectures.
- Experience integrating enterprise systems, APIs, databases, and cloud environments.
- Exceptional customer communication and the ability to build credibility with engineers and executives.
- Ability to turn loosely defined requirements into concrete technical decisions.
- Strong product judgment and high ownership in fast-moving enterprise environments
- Experience deploying developer-facing or enterprise AI products.
- Pharma, healthcare, or life sciences experience.
- Experience with enterprise security, SSO, cloud architecture, or regulated deployments.
- Experience with voice AI or conversational applications
At Synthio, we build software that directly supports patients, physicians, and pharma teams. This is production software, not prototypes or demos. The systems you build will be used in real workflows, under real constraints, and at real scale. You’ll have meaningful ownership and a clear line of sight from your code to real-world impact.
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