Generative AI Developer working on AI - driven solutions with a focus on building scalable applications using Python. Responsible for integrating LLMs and AI agent frameworks in collaboration with cross - functional teams.
About the role
- Forward Deployed Engineer at Atrix collaborating with pharma teams to create AI-driven medical solutions. Leading implementations, prototyping, and ensuring AI trust and accuracy in workflows.
Responsibilities
- Configure Atrix templates, pipelines, and AI workflows to match complex scientific and medical processes
- Set up and validate customer-approved data sources
- Ensure accuracy, reliability, and trust in AI-generated outputs
- Drive the full implementation lifecycle: onboarding → configuration → validation → go-live → iteration
- Lead weekly customer calls and serve as the primary technical point of contact
- Build quick prototypes and workflow experiments for GTM initiatives
- Translate customer needs into clear product requirements
- Triage bugs, uncover feature gaps, and partner with engineering to implement fixes or enhancements
- Shape product roadmap with insights drawn from real-world usage
- Own business-sense QA and accuracy validation for customer deployments
- Identify risk, propose guardrails, and define scalable validation processes
- Enable AI evals to ensure high trust and quality of all workflows
- Create internal SOPs for deployment, QA, template configuration, and customer onboarding
- Own 3–5 enterprise accounts end-to-end within 6 months
- Identify patterns across accounts and surface scalable templates or product opportunities
- Become a trusted technical advisor to medical, clinical, and commercial stakeholders
Requirements
- 2–5 years in forward deployed engineering, software engineering, solutions engineering, technical consulting, ML implementation, data engineering, or adjacent roles
- CS degree is required if non-software engineering role held in past.
- Strong Python experience; comfortable doing light FE work in React/TS
- Ability to write evals and optimize Ai-driven workflows.
- Ability to translate complex technical ideas to a smart, non-technical scientific audience
- Experience working with LLMs, prompt engineering, or AI-native tools (e.g., Claude code, Cursor)
- Obsession with accuracy, reliability, and the details that matter in high-stakes workflows
- Thrives in customer-facing environments and enjoys owning outcomes, not just tasks
- Startup experience strongly preferred
Benefits
- Health & wellness support – Stipend + medical (vision, dental, health) insurance coverage
- Unlimited PTO – Recharge when you need to
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