Applied AI Engineer | Python / AI Agents | Must have startup experience
Location: San Francisco, CA (Onsite preferred; remote for exceptional candidates)
Package: $175,000 - $280,000 + meaningful equity
Eligibility: Open to candidates with existing work authorization - US Residents Only
🚨 Please only apply if you have commercial experience with all of the following 🚨:
- Python backend engineering
- Building AI agents or LLM‑powered tools
- Production‑grade software development
- Startup/Scale up experience
- Working autonomously across prototype → production
- Customer‑facing technical work (R&D, field, or similar)
🚀 Join a hyper‑growth AI organisation fresh off a major seed round, building next‑generation agent technology that’s transforming how technical teams work. You’ll be in a high‑ownership engineering environment where prototypes become production systems fast, and where your work directly shapes how customers use AI to compress complex workflows from months into hours.
This team drives some of the company’s most advanced agent capabilities, and you’ll be one of the key builders taking these systems from concept to real‑world impact.
Required Background
- 3+ years of professional software engineering experience
- Proven delivery of systems used in production environments
- Experience in life sciences, pharma, scientific computing, or technical R&D workflows
- Strong grounding in computer science, engineering, mathematics, physics, or a related field
- Able to operate with a technical founder or founding‑engineer mindset
ℹ️ Very Important Notes
- This role requires hands‑on engineering depth - not suitable for non‑coders or frontend‑heavy profiles
- Must be comfortable owning multiple responsibilities in a fast‑moving, startup‑style environment
- Some customer interaction is required to understand workflows and validate solutions
- High autonomy expected - you will design, build, ship, and iterate quickly
Must-Haves
- Strong Python backend development
- Experience building AI agent architectures or LLM‑powered applications
- Ability to work independently and handle ambiguity
- Startup mindset with evidence of high personal achievement
- Ability to translate customer needs into technical direction
- Strong problem‑solving and technical ownership
Bonus Experience
- Experience in pharmaceutical R&D or scientific research workflows
- Past technical founder or early founding engineer
- Open‑source contributions in AI or scientific tooling
- CRUD application development
- Work in fast‑growing startups or top‑tier tech environments
Hands-On Experience With
- Python (backend systems)
- AI/LLM‑powered tools and agent systems
- Infrastructure and tooling for reusable agent capabilities
- Integrating tools, data sources, or scientific workflows
- Prototype‑to‑production development across multiple domains
What You’ll Be Doing
Automation Engineering
- Architect, implement, and maintain production AI agents
- Build and refine agent capabilities from early prototypes to fully deployed systems
- Develop reusable infrastructure and skills that support all platform agents
Quality Ownership
- Validate agent behaviour with real scientific workflows and user feedback
- Improve reliability, capability, and performance of agent systems
- Translate field insights into technical priorities and product direction
Collaboration
- Partner with internal science and engineering teams on new agent architectures
- Work directly with R&D and customer teams to test and iterate
- Feed real‑world findings back into platform evolution and roadmap decisions
What They’re Looking For
- A proactive, technically sharp engineer with a scrappy, founder‑like mindset
- Someone comfortable working across multiple functions in a fast‑moving environment
- A builder who thrives on autonomy, ownership, and rapid iteration
- An engineer who enjoys combining customer insight with deep technical execution
If you meet the above requirements and want to build production AI agents that directly accelerate scientific discovery, get in touch for a fast response.
