Responsibilities
- Partner closely with the People AI product lead to define use cases, shape solutions, and run structured experimentation cycles.
- Translate product insights into technical approaches that balance speed, quality, and safety.
- Architect and build agentic AI systems and multistep workflows that support HR and TA use cases.
- Design and develop prototypes, experiments, and tools that demonstrate practical AI applications across the people organization.
- Integrate agents with internal data sources, knowledge stores, tools, and APIs to create reliable and cohesive workflows.
- Establish standards for agent evaluation, safety, guardrails, and monitoring to support responsible deployment.
- Evaluate and refine agent behavior through structured observation, testing, and iterative improvement.
- Partner with HR and TA teams to translate operational problems and opportunities into clear technical solutions.
- Build lightweight infrastructure for experimentation, including simple services, orchestration logic, and testing pathways.
- Stay current on emerging AI capabilities and recommend practical ways to apply new techniques.
- Create documentation, workflow maps, and technical guidance to enable successful pilots to transition into scaled solutions with engineering partners.
- Operate with high autonomy, create clarity in ambiguous environments, and drive initiatives from start to finish.
Requirements
- 7+ years of engineering experience in software, machine learning, applied AI, or related fields.
- Direct experience designing and implementing agentic systems and multistep AI workflows.
- Strong proficiency in Python and modern AI frameworks, including tools for retrieval, embeddings, and vector storage.
- Experience working with agent frameworks such as LangChain, LlamaIndex, OpenAI agents, or custom orchestrators.
- Skilled at working in a paired model with a product manager and contributing to shared discovery, prioritization, and rapid iteration.
- Ability to integrate agents with internal systems such as ATS, HRIS, databases, and third-party APIs.
- Experience creating guardrails, monitoring patterns, and safety evaluations for agent behavior.
- Proven ability to build end-to-end prototypes that move from concept to working pilot.
- Ability to work with incomplete or ambiguous workflows and shape them into structured, scalable systems.
- Strong product thinking with a focus on simplicity, clarity, and usability.
- Ability to work independently in high-growth environments with limited structure.
- Strong communication skills with the ability to translate technical concepts for nontechnical stakeholders.
Nice to Have
- Experience designing AI copilots or internal automation tools for workforce productivity, manager enablement, or knowledge management use cases.
- Familiarity with workflow mapping, user research techniques, or product discovery in applied AI contexts.
- Experience in standing up lightweight infrastructure for prototyping, including APIs, dashboards, or orchestration layers.
- Experience in instrumenting agents with logging, metrics, and evaluation signals to support refinement and reliability.
- Knowledge of data privacy, governance, and responsible AI practices in enterprise environments.
- Experience in high-growth technology or infrastructure companies where speed and iteration matter.
Benefits
- Medical, dental, and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible, full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
Work Arrangement
Hybrid
Additional Information
- New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
