AI Engineer- Gen AISWE- Weights & Biases

What Youll Do:

The AI team is a hands-on applied AI group at Weights & Biases that turns frontier research into teachable workflows. We collaborate with leading enterprises and the OSS community. We are the team that took W&B from a few hundred users to millions of users and one of the most beloved tools in the ML community. A senior applied role at the research-to-product boundary. You will design implement and evaluate LLM applications and agents with cutting-edge techniques from the latest research then document and teach them to our community and customers. The focus is application not novel research: rapid prototyping careful evaluation and production-grade reference implementations with clear trade-offs. We prioritize responsible safe deployment and reproducibility.

About the role:

• Ship end-to-end GenAI workflows (prompting RAG tools/agents eval serve) with reproducible repos W&B Reports and dashboards others can run.
• Build agentic systems (tool use function calling multi-step planners) with MCP servers/clients and secure tool/resource integrations.
• Design evaluation harnesses (RAG/agent evals golden sets regression tests telemetry) and drive continuous improvement via offline online metrics.
• Build in public: Publish engineering artifacts (code docs talks tutorials) and engage with OSS and customer engineers; turn repeated patterns into reusable templates.
• Partner with product/solutions to launch LLM-powered features with clear latency/cost/SLO targets and safety/guardrail checks.
• Run growth experiments to track the usage of the Weights & Biases suite of products from the artifacts built.

Who You Are:

• Software engineering: 6 years building production systems; strong Python or TypeScript system design testing CI/CD observability.
• GenAI apps: shipped LLM-powered features (tools/agents/function calling) with measurable impact (latency/cost/reliability).
• Agentic patterns: implemented planners/executors tool orchestration sandboxing and failure taxonomies; familiarity with agent infra concerns.
• RAG: pragmatic mastery of chunking embeddings vector/hybrid search rerankers; experience with vector DBs/search indices and retrieval policy design.
• Evaluation: designed LLM/RAG/agent evals (offline golden sets counterfactuals user studies guardrail tests); stats literacy (variance CIs power).
• Serving & productization: comfortable with queueing caching streaming and cost controls; can debug latency at model retrieval and network layers.
• Public signal: 2 substantial OSS repos/blog posts/talks/videos with adoption (stars forks downloads views) and reproducible artifacts.

Preferred:

• Experience building with AI SDKs / agent frameworks (e.g. TypeScript/Python SDKs planning libraries) and shipping developer-facing examples.
• Production agent security/sandboxing red-teaming and policy/PII enforcement.
• Operated eval platforms or built judge models/heuristics; experience leading metrics reviews with product/UX.
• Customer-facing enablement: templates or reference implementations adopted by external teams at scale.

Wondering if youre a good fit We believe in investing in our people and value candidates who can bring their own diversified experiences to our teams even if you arent a 100% skill or experience match. Here are a few qualities weve found compatible with our team. If some of this describes you wed love to talk.

• You love turning ambiguous product ideas into clean benchmarked production-ready LLM/agent workflows others can use today.
• Youre curious about the latest research from AI labs and excited to apply it to real-world problems.
• Youre an expert in at least one of: RAG quality at scale agent/tool orchestration or GenAI DX (SDKs examples docs)and you can demonstrate it with code and metrics.

Why Us

We work hard have fun and move fast! Were in an exciting stage of hyper-growth that you will not want to miss out on. Were not afraid of a little chaos and were constantly learning. Our team cares deeply about how we build our product and how we work together which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry who will want to learn from you too. Come join us!

The base salary range for this role is $188000 to $275000. The starting salary will be determined based on job-related knowledge skills experience and market location. We strive for both market alignment and internal equity when determining addition to base salary our total rewards package includes a discretionary bonus equity awards and a comprehensive benefits program (all based on eligibility).

What We Offer

The range weve posted represents the typical compensation range for this role. To determine actual compensation we review the market rate for each candidate which can include a variety of factors. These include qualifications experience interview performance and location.

In addition to a competitive salary we offer a variety of benefits to support your needs including:

• 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

Our Workplace

While we prioritize a hybrid work environment remote work may be considered for candidates located more than 30 miles from an office based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin veteran status or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA) CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process unless such accommodation would cause an undue hardship. If reasonable accommodation is needed please contact: .

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information applicant must either be (A) a U.S. person defined as a (i) U.S. citizen or national (ii) U.S. lawful permanent resident (green card holder) (iii) refugee under 8 U.S.C. 1157 or (iv) asylee under 8 U.S.C. 1158 (B) eligible to access the export controlled information without a required export authorization or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may for legitimate business reasons decline to pursue any export licensing process.