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Venchr

Founding Python Engineer | Stealth Ai Healthcare Startup | Fully Remote Us | $200k$250k

Company: Venchr

Location: Remote

Posted on: November 17

Founding Python Engineer | Stealth AI Healthcare Startup | Fully Remote US | $200k$250k

Here at Venchr, we are partnering with a rapidly scaling, VC-backed stealth AI startup that is building next-generation agentic AI to automate operational workflows across healthcare. Their mission is to remove administrative burden and transform how healthcare teams work and theyre already seeing strong early traction.

We are now searching for a Founding Python Engineer to join their core team and play a key role in building the platform from the ground up.

Responsibilities

  • Architect and build backend systems in Python powering agent-based automation
  • Develop APIs, microservices, and data pipelines supporting real-time workflows
  • Contribute to LLM evaluation, agent reliability, and workflow orchestration
  • Integrate with healthcare systems, web workflows, and internal tools
  • Drive engineering best practices, DevOps, CI/CD, and scalable cloud architecture
  • Collaborate directly with founders across product and strategy

Ideal Background

  • Experience designing APIs or distributed systems
  • Interest or experience with LLMs, generative AI, or agentic workflows
  • Strong cloud experience (AWS or GCP) and containerization
  • Thrives in fast-paced, high-ownership environments
  • Excellent communicator, comfortable in a founding-level role, or automation tools

Whats On Offer

  • Founding-level impact
  • Opportunity to build at the cutting edge of AI + healthcare
  • Autonomy, ownership, and influence across product and engineering
  • Fast-moving, mission-driven team with strong early traction

Venchr is an equal opportunity employer. We do not discriminate based on age, disability, gender reassignment, marriage and civil partnership, pregnancy, race, religion or belief, sex, or sexual orientation. All applicants will receive consideration for employment based on their talent, skillset and individual merit alone