Lead AI Agentic Developer

Imperative Care•Campbell, CA

20h•$214,000 - $234,000•Onsite

About The Position

This position is based in our Campbell, California offices. This position is on-site & full-time Why Imperative Care? At Imperative Care, we are developing novel robotic-assisted technologies and interventional capabilities that will forever change the disparate outcomes of ischemic stroke – a disease that impacts close to a million people a year in the U.S., and 10 million worldwide. Not only is Imperative Care Robotics changing the way stroke is treated, but also bringing this treatment to the greater population who is currently without. We are actively building a team who is focused on developing novel solutions for this complex disease – a disease in which one in four adults will face in their lifetime. What You’ll Do We are seeking an AI Lead to build and drive the adoption of AI within organization. This role will initially be hands-on-designing, building, and piloting AI solutions—while laying the foundation for a scalable AI capability. Over time, this individual will help define and lead the team, processes, and standards needed to expand AI across R&D, aligning all efforts with the broader strategic vision of the organization.

Requirements

4–8 years of experience in AI/ML, data science, or applied AI roles
Hands-on experience building AI solutions (including generative AI and/or agents)
Experience delivering pilot projects or proof-of-concepts end-to-end
Strong understanding of data workflows and AI tooling
Cloud infrastructure hands on knowledge
Demonstrated ability or interest in mentoring or leading others
Ability to work cross-functionally and influence stakeholders
Strong builder mindset with ability to execute independently
Pragmatic and outcome-focused, with a bias toward action
Comfortable evolving from hands-on contributor to team leader
Effective communicator across technical and business audiences

Responsibilities

Design, build, and deploy initial AI pilot projects
Prototype quickly Agents using modern AI tools (LLMs, agents, automation frameworks)
Implement prompt engineering strategies and chain-of-thought reasoning patterns
Validate value through measurable outcomes and iterate rapidly
Build and implement AI agents and intelligent workflows for R&D use cases
Implement sophisticated context management systems to maintain agent state across multi-turn interactions and complex workflows
Build robust memory systems including short-term working memory and long-term knowledge retrieval
Create tool integration frameworks allowing agents to interact with external APIs, databases, and services
Develop agent orchestration systems for multi-agent collaboration and task delegation
Ensure solutions are designed for scalability from the outset
Partner with IT and data teams to ensure required data access and infrastructure
Define requirements for data pipelines, tooling, and governance
Ensure solutions meet compliance and security expectations
Work across R&D, IT, Legal, and other teams to enable adoption
Translate between technical and non-technical stakeholders
Drive alignment and momentum across functions
Define roles, skills, and structure for an emerging AI team
Contribute to hiring and onboarding of future team members
Establish processes, standards, and ways of working for AI development
Transition from individual contributor to team lead over time
Act as a change agent within R&D to drive AI adoption
Educate teams and integrate AI into day-to-day workflows
Promote a culture of experimentation and data-driven decision-making

Benefits

Employee Benefits include a stake in our collective success with stock options, bonus, competitive salaries, a 401k plan, health benefits, generous PTO, and a parental leave program.

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