Failure analysis engineer h1.location_city
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Failure analysis engineer • berkeley ca
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Liberate builds AI agents to automate manual tasks for the $2.We started with voice the hardest and most valuable channel in insurance and are now expanding into full workflow automation across sal...[show_more][last_updated.last_updated_variable_days]
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The Hardware team is looking for an action-biased and detail oriented Sr.Failure Analysis Technician who has a passion for root cause analysis, as well as the hands-on skills to carefully disassemb...[show_more][last_updated.last_updated_30]
Chief Engineer - Courtyard by Marriott Oakland Airport.Midas Hospitality is recognized as one of the Top 100 U.Employers in 2021 (by MogulRecruiter).Ranking #30 for talent, #13 for diversity, #33 f...[show_more][last_updated.last_updated_variable_days]
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Bachelor's Degree in Electrical Engineering or related field.PLC, HMI, and motion programming skills are required.AutoCAD and at least one of the following programming languages: Allen Bradley, Sie...[show_more][last_updated.last_updated_30]
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CSV Consultant responsible for leading Computer System Validation (CSV) and applying Computer Software Assurance (CSA) principles for SAP S/HANA with a focus on the Quality Management (QM) module.T...[show_more][last_updated.last_updated_variable_days]
Galileo is a nationally recognized summer day camp dedicated to empowering young innovators to change the world! Since 2002, we’ve inspired hundreds of thousands of kids across 90+ diverse communit...[show_more][last_updated.last_updated_variable_days]
Data Analysis Supervisor 2 Oakland, CA, Job ID 83801.University of California Agriculture and Natural Resources.Under the supervision of NPI's Director, the Data Analysis Supervisor 2 will function...[show_more][last_updated.last_updated_variable_days]
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Oleo is an early-stage biomanufacturing company developing a platform to produce carbon-negative oil feedstocks for advanced fuel production.Our technology combines microwave hydrolysis and microbi...[show_more][last_updated.last_updated_30]
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Staff AI Agent Engineer
LiberateBerkeley, CA, United States[job_card.variable_days_ago]
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- [job_card.full_time]
[job_card.job_description]
Staff AI Agent Engineer
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice the hardest and most valuable channel in insurance and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.
Location: Boston or San Francisco (Berkeley), hybrid (2 days/week in office)
About the Role
As a Staff AI Agent Engineer, you are a force multiplier for customer deployments and agent quality. You own complex customer launches end to end and turn hard, bespoke problems into repeatable patterns. You operate with strong judgment, raise the engineering bar in the work, and reduce dependency on leadership by owning outcomes directly.
This role is hands-on, customer-facing, and deeply technical. You are not a solutions engineer. You are an engineer who ships.
What You'll Do
- Own complex, high-impact agent deployments from design through production
- Design, build, and iterate on agent workflows, prompts, evals, and integrations
- Turn customer-specific learnings into reusable templates, playbooks, and patterns
- Partner with Product and Platform to influence roadmap based on real-world usage
- Debug and improve agent behavior using structured evals, monitoring, and analysis
- Lead technical reviews for agent design, launch readiness, and post-launch quality
- Mentor other Agent Engineers through example and direct coaching
- Raise the bar on engineering quality, operational rigor, and reuse in deployments
What We're Looking For
Must Have
- 6+ years of professional software engineering experience
- Strong hands-on experience building and operating production systems
- Fluency in Python and modern backend systems (APIs, services, cloud)
- Experience working with LLM-based systems, prompts, tools, or agent frameworks
- Ability to reason about quality, failure modes, and operational risk
- Comfort working directly with customers on technically complex problems
- High ownership, good judgment, and the ability to operate under pressure
Nice to Have
- Experience with agentic systems, eval frameworks, or AI observability
- Prior work in B2B SaaS, enterprise software, or regulated environments
- Experience turning bespoke solutions into reusable systems