Jobs in the United States

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Manufacturing Test Engineer
Actalent
Bellevue, WA
- $90 to $110 USD / hour
Support commissioning and troubleshooting of test stations on the manufacturing floor, ensuring minimal downtime and smooth integration into production.
Added just now
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Mechanical Engineer
Actalent
GILBERT, AZ
- $41 to $65 USD / hour
Job Title: Mechanical EngineerJob DescriptionThis Mechanical Engineer role focuses on the design and development of ground control shelters and enclosures used as communications and…
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Mechanical Engineer
Actalent
New Braunfels, TX
Job Title: Mechanical EngineerJob DescriptionThis role offers an early-career Mechanical Engineer the opportunity to support the design, development, testing, compliance, and manufacturing…
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N Phoenix, AZ
Valid driver's license required
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Lead GenAI Forward Deployed Engineer, YouTube GTM Operations
YouTube
San Bruno, CA · New York, NY · Mountain View, CA
…this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their…
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Software Engineer II (Onsite)
United States
Qualifications You Must Have: · Must have or be capable of obtaining a US Department of Defense (DoD) security clearance after day 1
Added 2 mins ago
Backend Developer
Comcast (CC) of Willow Grove
PA
As a software engineer in the NOMAD Engineering team you will be part of a team that is building next generation access and core networks which will help deliver HSD, Voice and Video…
Added 2 mins ago
Sr Engineer II, Asset
Phillips 66
Greeley, CO
As a Sr Engineer II, Assets, you will provide technical support that helps ensure the safe, reliable, and efficient operation of Phillips 66 compressor stations, pipelines, plants, and…
Added 3 mins ago
Senior Process Engineer - Plastic Extrusion Expertise Required
Illinois Tool Works Inc.
United States
The Senior Process Engineer serves as the technical leader for extrusion, material conversion, and labeling processes across Hi-Cone's global manufacturing network. This role is responsible…
Added 4 mins ago
Mechanical Manufacturing Engineer
Westinghouse Electric Company, LLC
Blairsville, PA
As a Mechanical Manufacturing Engineer, you will lead 1st shift mechanical production line Engineering. Responsibilities include both Project and Engineering functions. You will work with…
Added 5 mins ago
VDC Engineer
Turner Construction
Chicago, IL · Augusta, GA · Nashville, TN · Dallas, TX · Seattle, WA
…and Reality Capture teams, including simulation models and production…
Added 6 mins ago
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AI Engineer
Senseye
Remote, United States
- $129,000 to $148,000 USD / year
Support our existing computer vision work as models move toward production.
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Quality Engineer, Ford Energy
Ford
Glendale, KY · Glendale
Conduct process audits to ensure the production process adheres to strict guidelines, specific process standards, and environmental/quality compliance (including ISO 14001, ISO 9001, and…
Added 6 mins ago
Senior Electrical Hardware Design Engineer
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El Segundo, CA
Support design for manufacturability, design for test, prototype builds, supplier coordination, and transition from engineering development to repeatable production.
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Aviation Maintenance Engineer
Anduril Industries
Costa Mesa, CA
As an Aviation Maintenance Engineer you will ensure the airworthiness and mission readiness of developmental UAS platforms across assembly, maintenance, and flight test operations. You will…
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Manufacturing Engineer
EOTECH
Clarksville, TN
The Manufacturing Engineer designs and improves industrial equipment, machine layouts, manufacturing processes, and mechanical components to optimize production, minimize costs, and meet…
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Firmware Engineer
Vector Atomic
Pleasanton, CA
- $110,000 to $135,000 USD / year
We are looking for a skilled Firmware Engineer to join a cross-functional team of physicists, electronics engineers, and firmware developers building next-generation quantum sensing…
Added 6 mins ago
Design Engineer Intern (Summer 2027)
Fiskars Brands, Inc. US
United States
Partner with cross-functional teams - Industrial Design, Product Management, and Quality - to support the full design-to-production process.
Added 7 mins ago
DevOps Technical Lead
HTP Solutions
United States
As a Sr. DevOps Engineer, you are a hands-on technical leader and the delivery owner for two managed services pods and the customers they support. You lead a distributed team of cloud…
Added 8 mins ago
CI
Staff AI Engineer
Coupang Internal
United States
- $152,000 to $261,000 USD / year
Create data products that support investigation, automation, and risk assessment.
Added 11 mins ago
Engineering Manager, Object Storage Control Plane
CoreWeave
CA / Bellevue, WA · Manhattan, NY
Your teams have built distributed control planes or metadata systems in production, not only run them
Added 11 mins ago
Data Analytics Engineer
ASM Research
United States
The Data Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that enable data-driven decision-making across the…
Added 11 mins ago
Associate Design Engineer
Alpharetta, GA
All positions at Caterpillar are in office 5 days per week
Added 11 mins ago
Technical Account Manager
Diverge IT
Plano, TX
Coordinate with shared/leveraged service pods (After-Hours Desk, Tools Support, Dedicated Engineer, Depot) to ensure seamless handoffs and consistent client experience.
Added 12 mins ago
RF Engineer
Skyeton Inc
North Las Vegas, NV
Skyeton is an aerospace and defense technology company focused on the design, production, and support of advanced unmanned aerial systems. At our growing Fayetteville, North Carolina…

Cresta

AI Agent Evaluation Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 12, 2026

Original job description

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the role:

Cresta’s AI Receptionist answers the phone for small businesses that would otherwise miss the call. It handles millions of conversations a month today, making sure no call goes unanswered and helping owners complete the front-office tasks that keep their business running, and it does so across hundreds of customers. Whether those conversations are actually good is the single most important question in the business, and it deserves a full-time owner. That’s you.

As our first AI Agent Evaluation Engineer, you define what quality means for every agent we run, you build the systems that measure it across every conversation, and you are the person the company trusts when the question is “how good is it, really?”

The work combines hands-on conversation analysis, rigorous evaluation design, and engineering execution: reading and annotating real conversations to learn how the agent actually fails, building the automated evaluation systems (LLM-based judges, golden sets, regression suites) that measure those failures at scale, and keeping those systems honest by calibrating them against human judgment. Fixing what you find is welcome but not the core of the job; an accurate, prioritized picture of agent quality is.

What You'll Do :

Evaluation Design & Quality Definition

Define and maintain the evaluation rubric for the agent across three axes: adherence (did it follow its design, call the right tools, respect guardrails), outcome (did the conversation achieve its goal), and conversation experience (latency, turn-taking, tone, repetition).
Write the annotation guidelines and failure taxonomy the team uses to talk about failures precisely; run calibration sessions and measure inter-rater agreement.
Classify and prioritize failure modes by severity and frequency so engineering and product work on what matters most.

Conversation Analysis & Annotation

Review production conversations by hand every week, leverage QA partners; open-code failures, cluster them, and turn the clusters into the evaluations worth automating.
Trace each failure to its likely cause (prompt, knowledge gap, tool or flow bug, speech recognition) and route it to the right owner with enough evidence to act on.
Evaluate across languages and report quality by segment (language, accent, audio quality, intent), not just in aggregate.

Scalable Evaluation Systems

Build and operate the evaluation pipeline that scores every production conversation, combining automated checks, LLM-based judges, and human review.
Calibrate every automated judge against human labels before trusting it; treat judge error as the primary measurement risk.
Design sampling strategies (stratified by intent, language, caller type, audio conditions) so that reported changes in quality are real.
Build and maintain the golden set and regression suite that every prompt, model, knowledge, and flow change is validated against before release.

Coverage & Edge Cases

Maintain the failure-mode coverage map: which behaviors are tested, partially tested, or unmeasured; close the gaps.
Design evaluations for behaviors no standard harness covers: high-stakes conversation types such as handoffs to a human, misuse and unwanted-caller handling, and resilience under upstream failures.
Define the quality and latency thresholds the agent is held to.

Reporting & Cross-Functional Collaboration

Report quality trends to internal stakeholders and customers clearly, with uncertainty stated and without burying bad news.
Partner with forward-deployed engineers, backend engineers, product managers, and the voice/language engineering team to turn findings into prioritized recommendations.
Document methodology so results are reproducible and the evaluation practice outlives any one person.

What We're Looking For:

3+ years of professional experience in software engineering, applied ML, or data-intensive research roles, including at least 1–2 years working hands-on with LLM-based systems in production.
Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, Cognitive Science, Statistics, or a related field, or equivalent practical experience.
Built and operated an end-to-end evaluation system for a production LLM product (agent or otherwise): rubric, human labels, automated judge, regression suite.
Deep understanding of evaluation methodology: what golden sets, judges, regression suites, and calibration are for, and when each fails. Tool-agnostic; you will work in our in-house tooling.
Fluent in how LLM agents work: prompts, tool calls, context handling, multi-turn state. You can read a trace and tell what the agent was doing and why.
Strong programming skills in Python and experience with LLM APIs; able to build and ship evaluation tooling independently. Fine-tuning and ML frameworks are not required.
Able to write a rubric that independent reviewers would score the same way, and to measure whether they do.
Able to design a test from an open-ended quality question: you decide what to measure and how, rather than executing a predefined plan.
Willing to do non-scalable work weekly, both yourself and by directing our QA partners: listening to calls, labeling conversations, building a failure taxonomy from scratch.
Professional fluency in at least one language other than English, sufficient to evaluate multilingual agent behavior directly.
Strong written communication; you author the guidelines others follow.

Note on Our Hiring Process

We highly value your time and engineering craftsmanship. To ensure a streamlined and objective process, the first step for qualified applicants following an initial resume review is a self-paced CoderPad technical assessment. This allows you to showcase your practical coding and problem-solving skills in a real-world environment before moving into conversational interview rounds.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.

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Jobs in the United States