Founding Software Engineer, Full-Stack & Platform

Vincer•Boston, MA

2d•Hybrid

About The Position

Vincer is looking for a founding engineer who wants to own the production spine of a voice-first AI system and have influence over what gets built for our life sciences customers. You'll be one of the first two full-time engineers, joining alongside a Founding AI Engineer and the co-founders and technical advisors. You'll inherit a working MVP and get to decide what to keep and set the technical direction and future roadmap with us. Life sciences sales reps operate in complex environments, supporting surgeons, physicians, and clinical teams across pharma and medical device. They often making decisions about what to say or the best actions to take while alone in the field without support or the ability to record and review their conversations. When reps struggle to find the right information, recognize an issue, or get the right support, the consequences extend beyond sales performance. A clinician may not get the treatment information they need when they need it, a surgeon may not feel confident using a device, or an important problem in the field may never make its way back to the organization. This ultimately impacts patient outcomes. We're closing this field support gap by building a voice-first AI decision support system for life sciences field teams when judgment, scientific knowledge, and speed matter most. The product has to understand messy, unstructured situations, assemble the right context, retrieve approved knowledge, orchestrate multiple AI systems, know when to escalate, and respond fast enough to feel conversational. The system is agentic by design: it decides when to act, not only what to say. Agents work from rep activity and accumulated context rather than waiting to be prompted, coordinate across multiple models and data sources, and make a judgment call about whether to handle something directly, route it, or escalate it to a human. Getting that behavior to be reliable, observable, and safe in a regulated environment is a core engineering challenge.

Requirements

5+ years of full-time software engineering, building full-stack systems with a strong backend, API, and platform orientation.
Experience with real-time, streaming, or low-latency systems: voice, video, collaboration, gaming, or similar.
Owned cloud infrastructure end to end on a major provider.
Located in Boston or NYC and understand that regular in-person collaboration is non-negotiable.

Nice To Haves

Enterprise software delivery, especially in a regulated industry (healthcare, finance, or similar).
Experience integrating with enterprise SaaS and customer data systems, such as CRM, identity, or communication platforms (i.e. Slack, Teams, etc.).
Experience with non-deterministic systems in production, and opinions about how to evaluate and roll back behavior you can't unit-test.
Enough frontend range to ship internal tools and customer-facing data interfaces without a dedicated frontend team.

Responsibilities

Own the product platform behind Vincer's user experience, spanning backend services, APIs, data flows, real-time communication, and infrastructure.
Deliver the real-time systems that make voice interactions fast, resilient, and natural in the field.
Build the runtime behind a multi-agent system that acts on its own initiative: triggering, state, memory, and the guardrails that make autonomous behavior safe for enterprise customers.
Build the integration layer that connects Vincer to the systems reps and managers already live in: CRM (Veeva, Salesforce), Slack, Teams, and customer data APIs.
Expand the backend services and cloud infrastructure behind live customer use, and own what that requires: observability, deployment, reliability, cost.
Build the data foundation for customer workflows, reporting, and auditability.
Establish the security and compliance posture that enterprise life sciences customers require, with guidance from advisors who have implemented AI systems inside life sciences organizations.
Ship internal tools, customer-facing data interfaces, and simple web/mobile experiences.