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autonomous vehicle driver

Continuum Resource Network

<p>We are helping an on-demand, autonomous ride-hailing company find a <b>Level 3 Vehicle Operator</b> to be at the forefront of turning the company's vision into reality.</p><p>If you have experience troubleshooting technical applications and professional driving experience (Rideshare/Delivery/Military/Public Transportation/Other) this is an EXCELLENT opportunity to break into the autonomous vehicle industry.</p><p>If you are an experienced AV Operator, this is an opportunity to expand your existing experience in the industry</p><p>In this role, you'll always ensure safety, maintain vehicle readiness, complete software and hardware tests, and represent our client's brand as an ambassador to the public. You'll also assist and interact with multiple teams across the company, from computer vision, infrastructure, and sound design to strategy, vehicle engineering, and ride operations.</p><p>We're looking for operators who are disciplined, team players, and believe in doing whatever it takes to accomplish the mission. Working as a VO will give you the opportunity to learn vehicle and personnel operations. You'll have a front-row seat to the operational complexities of realizing autonomous mobility and the chance to contribute to the future.</p><p>Weekend shifts add 5% per hour in bonus pay! Night shifts starting at 3:30 p.m. or later add an additional 5% per hour in bonus pay (10% total on weekends)!</p><p><b>Monday-Friday</b></p><ul><li>7:45am-4:15pm</li><li>3:45pm-12:15am</li></ul><p><b>As a Level 3 Vehicle Operator, you will:</b></p><ul><li>Support vehicle operations.</li><li>Drive 4-8 hours a day with a priority on safety.</li><li>Conduct basic software operation tasks.</li><li>Support missions through a wide variety of roles in and out of vehicles.</li><li>Assist with documentation and metrics.</li><li>Provide accurate written and oral feedback to engineering teams.</li><li>Support vehicle maintenance and logistics.</li><li>Conduct daily basic vehicle preventative maintenance checks, services, and repairs.</li><li>Provide logistical support for the movement and storage of vehicles and equipment.</li><li>Ensure the readiness and cleanliness of vehicles, equipment, and the workplace.</li><li>Assist with paperwork and documentation related to vehicle readiness.</li></ul><p><b>Requirements</b></p><ul><li>Trobleshooting basic technical applications (Tech Support, Gaming, Rideshare)</li><li>Basic vehicle knowledge to perform vehicle checks, ability to drive for long duration (6 hours in the car per day)</li><li>Professional driving experience (preferred)</li><li>Excellent written and verbal communication skills</li><li>Excellent driving history and no criminal history</li><li>Proactive mindset and resourcefulness</li><li>Military experience is a plus</li></ul><p><b>Benefits:</b></p><ul><li>Pre-tax commuter benefits</li><li>Employer-subsidized healthcare benefits</li><li>Flexible Spending Account for healthcare-related costs</li><li>Coverage of all costs for short and long term disability and life insurance</li><li>401k package</li><li>PTO and Sick Days</li></ul><p>Job Types: Full-time, Contract</p><p>Pay: $29.00 per hour</p><p>Benefits:</p><ul><li>401(k)</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li></ul><p>Work Location: In person</p>

Autonomous Vehicle Driver

Waymo

<div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who&rsquo;ll help us maintain strong teamwork and are passionate about driving results.</p>
<p><i>
This role follows a hybrid work schedule and you will report to a Team lead, Sensing Systems Test Engineering.</i></p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Own a significant portion of the sensor (mainly radar) verification and validation activities to support qualification of fully autonomous operations, for both recurring software releases and new hardware prototypes</li>
<li>Design, execute and debug automated tests across multiple platforms to verify sensing requirements, expose issues, and identify root causes</li>
<li>Work with systems engineers, systems test engineers, software engineers, hardware engineers and external vendor teams to strategize on, create, standardize and optimize automated testing methodologies supporting periodic onboard software deployment</li>
<li>Write reusable, high quality, sensor data analysis and test automation software (Python and/or C++)</li>
<li>Develop cohesive verification and validation plans, including test plans</li>
<li>Analyze test data and communicate the results in technical reports and presentations</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>A bachelor&rsquo;s degree in physics, engineering, or other technical field OR equivalent practical experience</li>
<li>An advanced degree OR 8 years of equivalent practical experience</li>
<li>Experience analyzing data using Python or other high level language (e.g. Matlab, SQL, C++)</li>
<li>Experience in writing testable and maintainable software running in production level environment</li>
<li>Experience collaborating in projects with multiple non-colocated contributors and stakeholders</li>
<li>Experience with systems engineering verification and validation (V&amp;V) methods</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>V&amp;V test campaign coordination and execution</li>
<li>Familiarity with robotics, sensing, optics, or perception technologies</li>
<li>Experience debugging complex systems</li>
<li>Experience with simulation-based testing</li>
<li>Experience with autonomous vehicles or other autonomous systems</li>
<li>Experience with technical program management</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$196,000&mdash;$248,000 USD</div></div></div></div>

Systems Test Engineer, Sensing

<div><p>SAN FRANCISCO, CALIFORNIA, UNITED STATES. NEW YORK CITY, NEW YORK, UNITED STATES</p>
<p>FULL-TIME</p>
<p>INSURANCE</p>
<p>4181</p></div>
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</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
At Waymo Insurance, you will work on the cutting edge of emerging risk and related issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our legal, public policy, safety, security and privacy experts to evaluate and manage risks for the autonomous driving world to come, advising on insurance trends, evaluating and quantifying product liability, auto, cyber and related risks to ensure we build the appropriate risk and insurance frameworks to support and protect our users around the world. We collaborate with our business development, product partnership, strategy and operations teams in the execution of our business plans to ensure the company's interests are well protected from existing, new and emerging risks. We support the legal, policy and regulatory teams as they optimize our exposure in line with our risk appetite through the review of contracts, evaluation and shaping of emerging law and regulation at both the state and federal level. And we anticipate, quantify and mitigate emerging risk by maintaining active relationships and frequent contact with insurance and AV industry partners.</p>
<p><i>
In this hybrid role, you will report into our Head of Risk &amp; Insurance.
</i></p><p><b>You will:</b></p>
<ul>
<li>Develop Actuarial Infrastructure: Build and scale the foundational actuarial infrastructure and data systems required to support the full portfolio of Waymo's risk exposures.</li>
<li>Drive Management Reporting: Establish robust management reporting frameworks to communicate risk insights, portfolio performance, and actuarial findings to senior leadership.</li>
<li>Lead Strategic Risk Advisory Efforts: Serve as a trusted advisor to senior business functions, providing guidance on risk tolerance and balance sheet protection strategies.</li>
<li>Innovate Safety Methodologies: Collaborate with internal teams to drive the development of groundbreaking actuarial methodologies to identify outsized risks and quantify the safety performance of the Waymo Driver compared to human benchmarks.</li>
<li>Oversee Advanced Modeling: Own the outcomes for complex pricing and reserving models that quantify Waymo's expected losses and support insurance program negotiations.</li>
<li>Establish Enterprise Risk Modeling Capabilities: Lead initiatives to quantify enterprise-level risks, providing senior management with a strategic framework for risk prioritization.</li>
<li>Influence Industry &amp; Regulatory Standards: Represent Waymo in engagements, if needed, regarding regulatory outcomes for autonomous vehicle (AV) insurance requirements.</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Technical Mastery: High technical acumen and a strong mastery of statistics and actuarial science.</li>
<li>Advanced Quantitative Background: An advanced degree in statistics, math, engineering or actuarial science with a mastery of both technical and business contexts.</li>
<li>Professional Credentials: FCAS (Fellow of the Casualty Actuarial Society) or a PhD in a quantitative field is required.</li>
<li>Proven Leadership in Ambiguity: A track record of solving large, open-ended problems and driving outcomes for projects where the high-level nature of the solution was previously unclear.</li>
<li>Executive Communication Skills: Excellent collaboration and communication skills, with a demonstrated ability to present complex actuarial findings and strategic insights to very senior audiences.</li>
<li>Strategic Influence: Ability to lead persuasively across senior stakeholders while reflecting diverse needs, concerns, and business interests into project deliverables.</li>
<li>Deep Casualty Expertise: Extensive experience in pricing and reserving for commercial auto lines and novel risk exposures.</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>PhD: A PhD in Statistics, Mathematics, Actuarial Science, or a related highly quantitative field.</li>
<li>ERM/CERA Designation: Specialized background in Enterprise Risk Management or a CERA (Chartered Enterprise Risk Analyst) designation.</li>
<li>Innovative Problem Solving: A demonstrated ability to develop creative solutions for vague problems in a rapidly evolving technological landscape.</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$268,000&mdash;$340,000 USD</div></div></div></div></div></div></div>

Head of Risk Analytics

<div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
While consumers experience Waymo directly through our ride hailing services, <b>Waymo For Business</b> is the critical control center for our enterprise partners. We are building the industry-leading platform that enables organizations to manage, monitor, and scale their use of the autonomous Waymo fleet. We enable businesses to create mobility programs that prioritize safety, predictability, and efficiency, all managed through a sophisticated, centralized web portal.</p>
<p>
This product area is a cornerstone of Waymo&rsquo;s commercial strategy. As we scale our operations, our B2B products will be a driver of meaningful impact and high-scale revenue for the company.</p>
<p>
We are seeking a talented and passionate <b>Fullstack</b> <b>Software Engineer </b>to join our product engineering team. In this role, you will be responsible for building the customer-facing web applications that our business partners use every day. You will be crafting the &quot;command center&quot; functionality that allows companies to manage thousands of autonomous trips, defining how businesses interact with the future of transportation.</p>
<p><b>
Who You Are:</b></p>
<p><i>
Enterprise Mobility Visionary:</i> You are deeply motivated by the challenge of moving people and goods efficiently and safely at scale.</p>
<p><i>
0-to-1 Builder:</i> You thrive in the early stages of product development. You are comfortable with ambiguity and enjoy the process of turning a high-level vision into a concrete, scalable web architecture.</p>
<p><i>
Product-Minded Engineer:</i> You don't just write code; you think about the end-user&rsquo;s journey and how your technical decisions impact the business's bottom line.</p>
<p><b>
You will:</b></p>
<ul>
<li><p>Develop features analogous to traditional corporate mobility platforms, adapted for the unique requirements of autonomous vehicles, including:</p>
<ul>
<li><p><b>Centralized Fleet Dashboards: </b>Build high-performance web interfaces that visualize real-time fleet telemetry, trip status, and critical safety alerts for entire organizations.</p>
</li>
<li><p><b>Policy and Compliance Tools: </b>Implement granular administrative controls allowing clients to define geofenced operating areas, time-of-day restrictions, and spending limits to ensure corporate compliance.</p>
</li>
<li><p><b>Enterprise Integrations &amp; Billing: </b>Develop secure interfaces for managing corporate billing, generated consolidated invoices, and building robust API integrations with leading Expense (e.g., SAP Concur, Expensify) and ERP systems.</p>
</li>
<li><p><b>Specialized Dispatch Tools:</b> Architect web applications (like an &quot;AV Dispatcher&quot;) for coordinators in specific industries to request, track, and manage complex mobility needs for guests or inventory.</p>
</li>
<li><p><b>Performance &amp; Security:</b> Ensure the web product is highly responsive, handles massive streams of real-time data, and adheres to the strictest enterprise-grade security standards.</p>
</li>
</ul></li></ul><p><b>You have:</b></p>
<ul>
<li><p>BS degree in Computer Science or a related technical field, or equivalent practical experience.</p>
</li>
<li><p>4+ years of professional experience in software development.</p>
</li>
<li><p>Expertise in building modern web applications using component-based frameworks (e.g., Angular, React, Vue)</p>
</li>
<li><p>Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript</p>
</li>
<li><p>Experience designing and consuming RESTful APIs or GraphQL.</p>
</li>
</ul><p><b>We prefer:</b></p>
<ul>
<li><p>Experience working with data visualization and mapping libraries (e.g., Mapbox, Deck.gl, D3.js).</p>
</li>
<li><p>Strong interest in autonomous vehicles, robotics, or complex transportation systems.</p>
</li>
<li><p>Experience working on enterprise or B2B solutions</p>
</li>
</ul><p>#LI-Hybrid</p><div><div>
<div>
<p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$174,000&mdash;$221,000 USD</div></div></div></div>

Senior Fullstack Engineer, Waymo for Business

<div>
 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 <br/>
 <br/>
 The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.
 <br/>
 <br/>
 In this hybrid role you will report to a Technical Lead Manager.
 <br/>
 <br/>
 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Create foundation scale data sets and training recipes, develop methods and recipes for human and machine labeling of foundation scale data sets.
  </li>
  <li>
   Create methods and recipes for continuous data intake, selection and incremental updates of large models, develop methods for data mining and recipes for automated data collection/model update flywheels.
  </li>
  <li>
   Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates.
  </li>
  <li>
   Develop and maintain ground-truth free performance metrics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  </li>
  <li>
   3+ years experience in Machine Learning and/or Computer Vision
  </li>
  <li>
   Experience with Python
  </li>
  <li>
   Experience with ML frameworks like PyTorch or JAX
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Prefer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  </li>
  <li>
   Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  </li>
  <li>
   Experience with C++
   <br/>
   <br/>
  </li>
 </ul>
 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
 <br/>
 <br/>
 Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
 <br/>
 <br/>
 Salary Range
 <br/>
 <br/>
 $170,000&mdash;$216,000 USD
</div>


Machine Learning Engineer, Data & Systems

<div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who&rsquo;ll help us maintain strong teamwork and are passionate about driving results.</p>
<p><b>
You will:</b></p>
<ul>
<li>Lead and manage the Behavior Test Engineering&rsquo;s Release Health Team, including hiring, setting OKRs and guiding work, and developing your team's careers</li>
<li>Participate effectively in the on-call rotation, and automate Waymo's testing pipelines to be more resilient, reliable, and scalable</li>
<li>Lead technical work &mdash; work with SREs, Test engineers and SWE partners to develop and set the technical direction and architectural guidelines for Waymo's long-tail behavioral testing suite</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>A Bachelor's degree in a relevant field</li>
<li>Strong leadership and communication skills, with experience navigating a critical and horizontal space</li>
<li>6+ years of industry experience in reliability engineering or production systems</li>
<li>1+ years of management experience</li>
<li>The ability to lead a technical engineering team and deliver impact while managing the team effectively</li>
<li>Demonstrated ability as an individual contributor engineer</li>
<li>Ability to be in an on-call rotation</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>A Bachelor&rsquo;s degree in Computer Science (or similar)</li>
<li>A demonstrated track record of aligning reliability engineering culture and goals with overall business level objectives and priorities</li>
<li>A demonstrated ability to engage deeply on technical issues the company and your team will face</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$230,000&mdash;$292,000 USD</div></div></div></div>

Technical Lead Manager, Release Health

ImagineArt

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer (LLM Agents &amp; Orchestration)</b></h1><p><b><br>
Role Title:</b> Principal AI Engineer (LLM Agents &amp; Orchestration)
<br>
<b>Focus:</b> Building Autonomous &quot;Super Agents&quot;</p><p></p><h2 class="jobSectionHeader"><b>
Who We Are</b></h2><p>
ImagineArt is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.</p><p>
With a global user base of over 5 million active creators every month, with 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.</p><p>
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.</p><p>
At ImagineArt, we&rsquo;re a team of innovators, builders, and dreamers driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.</p><h3 class="jobSectionHeader"><b>
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, ImagineArt is the place to be.</b></h3><p></p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p><b>
Agent Architecture:</b> Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</p></li><li><p><b>
Integration Ecosystem:</b> Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</p></li><li><p><b>
Latency &amp; Reliability:</b> Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</p></li><li><p><b>
Memory Systems:</b> Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</p></li><li><p><b>
Evaluation &amp; Observability:</b> Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</p></li></ul><h3 class="jobSectionHeader"><b>
Technical Requirements</b></h3><ul><li><p><b>
Core Stack:</b> Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</p></li><li><p><b>
Model Internals:</b> Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with <b>Function Calling/Tool Use</b>.</p></li><li><p><b>
Vector Search:</b> Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</p></li><li><p><b>
System Design:</b> Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p>
Opportunity to work on innovative AI products like <b>Chatly</b> and <b>Imagine</b>, shaping the future of creativity and user interaction.</p></li><li><p>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</p></li><li><p>
Competitive compensation and benefits.</p></li><li><p>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</p></li></ul></div><p></p>

Principal AI Engineer (LLM Agents & Orchestration)

Explore 41+ Autonomous vehicle driver in San Francisco this March. Find roles across top companies and apply now to boost your career.