Forward Deployed Engineer

About HopeAI
HopeAI is building the AI-native workspace for drug development. HopeAI Workspace brings together specialized AI agents, proprietary data, and validated workflows to help biopharmaceutical companies, from emerging biotechs to global pharma enterprises, develop medicines faster and with greater confidence. Its applications span clinical trial intelligence, evidence generation, trial design, statistical programming, and regulatory strategy. Founded by leaders in biostatistics, oncology drug development, and AI, HopeAI is backed by Plug and Play, Taihill Venture, PKSHA Algorithm Fund, and Debiopharm, and is headquartered in New York.

The Role
Technology alone doesn’t change how medicines are developed. It has to work inside real customer workflows. That is the work of HopeAI’s AI Partners, who work directly with customers to turn complex development challenges into AI-native solutions. As a Forward Deployed Engineer, you will be an AI Partner with deep engineering expertise: you will design, build, and deploy specialized AI agents on HopeAI Workspace, make sure they deliver measurable outcomes, and turn what you build for one customer into reusable capabilities for every customer.

Core Responsibilities

1. Own customer engagements end to end, from understanding scientific and development objectives through solution design, deployment, validation, and adoption.
2. Configure and extend Workspace applications, such as PURE Evidence, Design Studio, and Stat Programming, for customer-specific needs.
3. Integrate HopeAI Workspace with customer infrastructure, including SSO, cloud environments, data platforms, and statistical computing environments, and bring in customer data and methods securely.
4. Build evaluations and quality controls with customers and our scientists, then improve prompts, retrieval, and agent logic until outputs are reliable enough for real development decisions.
5. Convert customer-specific solutions into reusable agent skills, validated workflows, and platform components, working with our AI Engineers to bring them into the core product.

What We Value

• Ownership: You see problems through to the outcome, not just the task.
• Build once, scale often: You solve a customer’s problem in a way the next customer can reuse.
• Customer instinct: You work comfortably with scientists, IT, and security teams and explain technical tradeoffs clearly.
• Learning speed: You pick up new domains quickly. A clinical background is not required.
• Nice to have: Experience in life sciences, clinical research, or regulated environments (e.g., GxP, 21 CFR Part 11, HIPAA), or prior forward deployed, solutions engineering, or early-stage startup experience.

What We Require

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional software engineering experience, including shipping production systems.
• Strong Python and SQL, plus experience with APIs, Docker, CI/CD, and at least one major cloud platform (AWS, Azure, or GCP).
• Hands-on experience building LLM applications, such as RAG, agent workflows, and model evaluation.
• Ability to work in our New York office on a hybrid schedule and travel regularly to client sites.
• Authorization to work in the United States. We welcome F-1 OPT and STEM OPT candidates; HopeAI is unable to sponsor H-1B or other employment visa petitions for this position.

Compensation
The anticipated base salary range for this position is $110,000 – $170,000 per year, plus equity and other incentives, determined by each candidate’s qualifications, experience, and skills. This position is eligible for HopeAI’s employee benefits program.

HopeAI, Inc. is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by law. We will consider qualified applicants with arrest and conviction records in accordance with applicable law, including the New York City Fair Chance Act. To request a reasonable accommodation, please contact [email protected].