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<h2>About the team</h2>At Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s Artificial Intelligence Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers who visit Zillow websites each month. The Mortgage Operations AI team will be leading the efforts to streamline the loan production process, enable a fully digital financing experience, and provide consistent, unbiased, and personalized loan recommendations. It will make the home-buying process less daunting and more manageable while allowing Zillow to scale its mortgage business and help Loan Officers build great relationships by providing buyers the best loan product that works for them.<h2>About the role</h2>Zillow is looking for an experienced leader to help us transform the home financing process. As manager of the Mortgage Operations AI team, you’ll lead a skilled team of applied scientists, software developers, and machine learning engineers working together toward achieving significant impact. You’ll need to bring your curiosity and willingness to work through ambiguity as we introduce AI and ML to a complex domain. You Will Get To<ul> <li>Lead and develop a team of machine learning scientists and engineers</li> <li>Become an expert in the home financing/mortgage origination process from end to end</li> <li>Partner closely with ZHL’s and AI product leaders on the vision, strategy, prioritization, and execution for our “mortgage factory”</li> <li>Contribute to the long-term vision for AI and Machine Learning in Zillow Home Loans</li> <li>Collaborate with principal scientists and engineers to design and implement solutions to achieve shared technical vision.</li> <li>Foster a culture of innovation and collaboration in the team while maintaining high standards for quality and accountability </li> </ul>This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Maryland, Massachusetts, Nevada, New Jersey, New York, Vermont, Washington state, and Washington DC the standard base pay range for this role is $182,100.00 - $290,900.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Maryland, Massachusetts, Nevada, New Jersey, New York, Vermont, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.<h2>Who you are</h2>We are looking for a candidate with a strong background in Machine Learning and experience designing, scaling, and evolving sophisticated AI and ML systems. The candidate should have:<ul> <li>Strong understanding of Machine Learning and Natural Language Processing fundamentals</li> <li>Experience with Machine Learning tools and Frameworks (e.g., PyTorch, Transformers, XGBoost, scikit-learn, etc.)</li> <li>1+ years of management experience.</li> <li>5+ years of experience prototyping and delivering Machine Learning products</li> <li>Vision and passion for AI and Machine Learning use cases and applications</li> <li>Excellent communication skills and a strong passion for collaboration across organizational boundaries.</li> <li>Passionate about supporting the growth and development of their team’s careers.</li> <li>A graduate degree in CS, Statistics, Applied Math, or related STEM field, or equivalent experience in an applied research setting</li> </ul>Bonus Qualifications:<ul> <li>Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example).</li> <li>Experience collaborating with science, engineering, design, research, and product partners in a team environment.</li> <li>Experience working in a regulated financial space or in FinTech is a plus</li> <li>Publications in Machine Learning or AI-related journals and conferences</li> <li>Doctoral-level degree in a STEM-related field </li> </ul><h2>Get to know us</h2>Zillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

Zillow

Manager, Machine Learning Engineer - Mortgage Operations Team

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.We are looking for a Software Engineer who’s optimizing cloud infrastructure &amp; distributed systems and has experience with scale to join our Capacity Engineering team. We enable Affirm to build and scale our Infrastructure globally in an engineering efficient, developer friendly, cost-effective, resilient, performant and secure manner and ensure that Affirm can uphold our SLA commitments. Our work ranges from developing and maintaining a distributed load-testing framework, scaling for the holiday season, developing capacity models, capacity tuning and having fun along the way! What You'll Do <ul> <li>With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.</li> <li>You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design &amp; analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.</li> <li>You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” &amp; on-call efforts.</li> <li>You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process.</li> <li>You will assist with right-sizing compute and data workloads to make our infrastructure highly available and cost-effective</li> <li>You will Collaborate with other infrastructure and product teams, providing technical guidance on capacity tuning to optimize production performance, and enabling effective performance testing.</li> </ul> What We Look For <ul> <li>You have a total of 1.5+ years of experience as a software engineer.</li> <li>You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin.</li> <li>You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.</li> <li>You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.</li> <li>You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.</li> <li>Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.</li> <li>You have strong verbal and written communication skills that support effective collaboration with our global engineering team.</li> <li>This position requires either equivalent practical experience or a Bachelor’s degree in a related field. </li> </ul> Base Pay Grade - L Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $160,000 - $210,000 USA base pay range (all other U.S. states) per year: $142,000 - $192,000 #LI Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: <ul> <li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://www.affirm.com/global-candidate-privacy-notice" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

Software Engineer II (Capacity Engineering)

Outlier

Geography Expertise Sought for AI Training

[US] Remote Coding Expertise for AI Training

Senior Contract SpecialistBlackbaud is looking for a talented professional with a strong foundation in legal principles and extensive experience in contract negotiation and review to join our Law Department as a Senior Contract Specialist. This role is ideal for individuals who bring a deep understanding of contract law, risk assessment, and strategic deal-making to support our business objectives.As Senior Contract Specialist for Blackbaud, you will be responsible for reviewing, drafting, advising on, and negotiating commercial contracts of varying types and complexity levels, particularly SaaS/cloud software sales agreements, DPAs and BAAs. You will also be responsible for managing certain projects and improving processes related to Blackbaud commercial contracting efforts. You may be called upon to assist with other facets of the Law Department's responsibilities.What you’ll do:<ul> <li>Develop, review, advise on and negotiate commercial contracts</li> <li>Manage commercial contracting projects and processes; implement best practices</li> <li>Prioritize and manage multiple responsibilities and a significant workload of matters efficiently and effectively</li> <li>Expedite and enhance the sales contracting process without sacrificing contracting standards</li> <li>Communicate effectively and compassionately with Blackbaud’s customers, sales and renewals teams and other departments involved in the sales contracting process (e.g., Security, Finance)</li> <li>Provide guidance to internal business teams regarding contract matters</li> <li>Collaborate with other members of the Blackbaud Law Department.</li> </ul>What you’ll bring:<ul> <li>Juris Doctor with active bar membership in at least one U.S. jurisdiction, or a demonstrated track record of substantial contract negotiation experience with a strong focus on legal terms and conditions</li> <li>5 or more years of contract negotiation experience in a law firm, corporate law department and/or contract management setting</li> <li>Skill at negotiating commercial and legal issues and drafting commercial agreements; ability to contribute strategically to the successful closure of sales opportunities</li> <li>Ability to respond quickly and manage multiple priorities in a fast-paced, high-volume sales contracting environment</li> <li>A sincere attitude of kindness and compassion for those with whom you work, whom you help, Blackbaud’s customers and their constituents</li> <li>A well-developed capacity to understand business issues and challenges and to apply practical legal solutions to problems</li> <li>Strong organizational and interpersonal skills and excellent written and oral communication skills, including the ability to effectively communicate legal exposure and manage risk.</li> </ul>What we’d prefer you bring:<ul> <li>In house counsel, law firm or non-lawyer law department experience</li> <li>Demonstrated process improvement and project management experience</li> <li>Ability and inclination toward program and people management</li> </ul>#LI-REMOTEStay up to date on everything Blackbaud, follow us on <a href="http://bit.ly/FollowUsLI" target="_blank">Linkedin</a>, <a href="http://bit.ly/2xn65ez" target="_blank">Twitter</a>, <a href="https://www.instagram.com/blackbaud/" target="_blank">Instagram</a>, <a href="http://bit.ly/2yNWNJH" target="_blank">Facebook</a> and <a href="https://bit.ly/BLKBYouTube" target="_blank">YouTube ​</a>Blackbaud is a remote-first company which embraces a flexible remote work culture. Blackbaud supports hiring and career development for all roles from the location you are in today!Blackbaud is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.A notice to candidates: Recruitment Fraudulent Alert: Your personal information and online safety as a candidate mean a lot to us! At Blackbaud and our portfolio of companies, recruiters only direct candidates to apply through our official careers page at <a href="https://careers.blackbaud.com/us/en" target="_blank">https://careers.blackbaud.com/us/en</a> or our official LinkedIn page. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers, or conduct interviews via Skype. Anyone suggesting otherwise is not a representative of Blackbaud. If you are unsure if a message is from Blackbaud, please email <a href="#">blackbaudrecruiting@blackbaud.com</a>. The starting base pay is $117,200.00 to $157,500.00. Blackbaud may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.Benefits Include:<ul> <li>Medical, dental, and vision insurance</li> <li>Remote-first workforce</li> <li>401(k) program with employer match</li> <li>Flexible paid time off</li> <li>Generous Parental Leave</li> <li>Volunteer for vacation</li> <li>Opportunities to connect to build community and belonging</li> <li>Pet insurance, legal and identity protection</li> <li>Tuition reimbursement program</li> </ul>

Blackbaud

Senior Counsel

Coding Expertise for AI Training

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing &amp; Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.The Compute team builds and operates the Kubernetes platform at Coinbase, which is the primary compute orchestration infrastructure for services at Coinbase. We work towards continuously improving the scalability, reliability, efficiency, and operational experience of using Kubernetes at Coinbase, working closely with the Routing, Security, Reliability, and Observability teams (among many others). What you’ll be doing (ie. job duties): <ul> <li>Build tooling and automation to make management of our Kubernetes clusters easy and reliable.</li> <li>Build tooling and automation to improve the developer and operational experience of working with Kubernetes for all users.</li> <li>Operationalize our Kubernetes platform so that it continues to be automated and self-healing to prevent unnecessary on-call burden.</li> <li>Develop net-new Kubernetes-related capabilities for service owners at Coinbase (e.g. one off jobs, cron, different deployment strategies, support for EFS, automated right sizing).</li> <li>Support our customers as they operate critical services for Coinbase in Kubernetes.</li> </ul> What we look for in you (ie. job requirements): <ul> <li>You have at least 8 years of software engineering experience and expertise with Kubernetes, or similar compute orchestration systems (e.g. mesos, nomad)</li> <li>Strong AWS and/or GCP infrastructure knowledge</li> <li>Ability to build backend services in addition to infrastructure</li> <li>Ability to hold a high bar for quality, are a self starter, and have strong interpersonal skills</li> <li>Strong problem solving skills and ability to identify problems, determine their root cause, and see them through to solution</li> <li>Ability to balance business needs with technical solutions</li> <li>Has experience scaling backend infrastructure</li> </ul> Job #: GPIN06US Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $211,650—$249,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Staff Software Engineer, Infrastructure (Compute)

Remote Coding Expertise for AI Training (Ukrainian)

AI Training for Operations Management and Research

<h1>AI Engineer - LLM Applications Specialist</h1><h2>About the Company:</h2>Great Question is the all-in-one customer research platform loved by teams from Intuit to Amazon, Canva and Figma. We're now looking to bring on an AI Engineer to help us enhance our platform with advanced AI capabilities, creating intelligent research assistants that will revolutionize how our customers conduct research.We're a team of 30+, led by second time founders, who have 3x revenue through 2024, and we're looking to do it again in 2025. This is an opportunity to get in early, work on an exciting AI implementation, have a huge impact on the technology of an early-stage company, and shape the future of AI-assisted customer research.This is a fully remote role open to people in the US or Canada with a strong preference to one of our hubs of Denver/Boulder Colorado, SF Bay Area California, Raleigh North Carolina; or Toronto Canada.<h2>Why join us?</h2>At Great Question, we're building a culture of collaboration, curiosity, and impact.By joining our team, you will:<ul> <li>Work closely with a passionate, mission-driven team</li> <li>Have a direct impact on the growth and success of the company</li> <li>Be at the forefront of implementing practical AI solutions in a SaaS product</li> <li>Shape the direction of our AI strategy and implementation</li> <li>Learn from experienced startup founders (10 years experience, 2 previous exits)</li> <li>Grow with the company - opportunity to specialize deeply in AI engineering or move into technical leadership</li> </ul><h2>Why not join us?</h2>At Great Question, we believe in transparency—not just about our strengths, but also about where we still have room to grow. Here's what you should know before deciding to apply:<ul> <li>Evolving AI Strategy: Our AI implementation is still in its early stages, so expect to help define approaches and best practices</li> <li>Lean Teams, Big Impact: You'll wear multiple hats in the AI development process, from prompt engineering to implementation and evaluation</li> <li>Fast-Paced Growth: We move quickly with high expectations, requiring creativity and comfort with iteration and occasional ambiguity</li> </ul>We're pretty far from perfect, and we don't claim to be. But we'd like to get there. So if you're someone who thrives on solving complex AI problems, enjoys creating intelligent systems from scratch, and loves being part of a dynamic, fast-growing environment, Great Question might be the right place for you.<h2>About the Role:</h2><h3>Role Overview</h3>We are seeking a highly skilled AI Engineer to design and implement an agent-based UI on top of our existing customer research platform. You will be focused on creating an AI research assistant that can help our users create research studies, review documents, and act as an intelligent research companion. The ideal candidate will have expertise in prompt engineering, agent frameworks, and LLM application development with a focus on creating production-ready AI solutions in JavaScript.<h3>Key Responsibilities</h3>AI System Architecture &amp; Development:<ul> <li>Design and build agent-based flows that integrates seamlessly with our existing platform</li> <li>Develop sophisticated prompt templates that effectively interact with our API to create research studies, review documents, and assist in research activities</li> <li>Evaluate and recommend the optimal framework for our use case (LangGraph vs. alternatives)</li> <li>Implement the chosen agentic framework to create a coherent AI agent experience</li> <li>Ensure the AI system can effectively understand user research needs and translate them into actionable research plans</li> </ul>Prompt Engineering &amp; Optimization:<ul> <li>Create robust, reliable prompts that consistently produce high-quality outputs</li> <li>Develop techniques to ensure AI responses remain factual, helpful, and aligned with research best practices</li> <li>Optimize prompts for different use cases within the customer research workflow</li> <li>Document prompt strategies and engineering decisions for knowledge sharing</li> </ul>Framework Selection &amp; Implementation:<ul> <li>Provide expert guidance on the selection of appropriate agentic frameworks (whether LangGraph or alternatives)</li> <li>Explain trade-offs between different frameworks in terms of performance, maintainability, and integration with our JavaScript stack</li> <li>Stay current with the latest advancements in LLM agent frameworks and recommend improvements</li> <li>Implement the chosen framework effectively within our JavaScript environment</li> </ul>Evaluation &amp; Quality Assurance:<ul> <li>Design and implement comprehensive evaluation frameworks to measure AI system performance</li> <li>Create automated tests to ensure consistent AI behavior across different scenarios</li> <li>Develop monitoring systems to track AI system performance and identify areas for improvement</li> <li>Collaborate with the product team to gather user feedback and iterate on AI capabilities</li> </ul>Technical Integration:<ul> <li>Work with our strong frontend resources and app developers to integrate AI capabilities</li> <li>Focus primarily on the prompting strategy and agentic framework rather than frontend implementation</li> <li>Ensure AI features are developed in JavaScript to align with our tech stack</li> <li>Document technical specifications and implementation details for the broader team</li> </ul><h3>Qualifications</h3><ul> <li>Bachelor's degree in Computer Science, AI, or related field</li> <li>5+ years of experience in software development, with at least 1-2 years focused on LLM applications</li> <li>Strong programming skills with experience implementing LLM applications (JS preferred)</li> <li>Demonstrated expertise in prompt engineering and LLM application development</li> <li>In-depth knowledge of various agent frameworks (LangGraph, LangChain, AutoGPT, BabyAGI, etc.) and ability to evaluate their strengths and weaknesses</li> <li>Experience designing, implementing, and evaluating AI systems in production environments</li> <li>Excellent problem-solving skills and attention to detail</li> <li>Strong communication skills and ability to explain complex AI concepts to non-technical stakeholders</li> <li>Experience with evaluation frameworks and testing methodologies for LLM applications</li> </ul><h3>Nice to Have</h3><ul> <li>Knowledge of customer research methodologies and practices</li> <li>Previous work with research or data analysis tools</li> <li>Experience building AI assistants or agents for specific domains</li> <li>Understanding of UX principles for AI interfaces</li> </ul><h2>Support Structure</h2>You'll be working closely with our engineering team who will provide support in:<ul> <li>Strong frontend resources who will handle UI implementation</li> <li>App developers who will assist with platform integration</li> <li>DevOps infrastructure and deployment</li> <li>Web/API programming integration</li> <li>Business domain knowledge and customer research expertise</li> </ul>Your primary focus will be on the AI-specific components: prompt engineering, agentic framework selection and implementation, and ensuring the AI performs effectively for research tasks.<h2>Benefits</h2><ul> <li>Competitive salary</li> <li>Flexible remote work arrangement</li> <li>Opportunity to work on cutting-edge AI applications</li> <li>Potential for long-term relationship based on project success</li> <li>Work with a growing startup making real impact in the customer research space</li> </ul><h2>Hiring Process</h2>We endeavor to deliver a great candidate experience, including notifications of your status in the hiring process throughout.The hiring process includes the following steps and typically happens across 2-3 weeks from first interview:<ol> <li>Initial phone screens for shortlisted candidates</li> <li>Technical Interview with CTO, delving into your AI experience</li> <li>Systems Design Interview</li> <li> Coding Interview</li> <li>Interview with Co-Founder &amp; CEO</li> <li>Reference checks</li> </ol>Note - Each interview is sequential, so you'll only move to the next round if you pass the previous one. After each interview, we'll aim to notify you if you're progressing within 3 days of your interview taking place.<h2>How to Apply</h2>If this sounds like the opportunity you've been waiting for, we'd love to hear from you! Please submit your resume, making sure it's a concise representation of your previous work experience.Where applicable in your resume, please include specific examples of AI systems you've built in JavaScript, with concrete metrics on their performance and impact. We're particularly interested in your experience evaluating and implementing different agentic frameworks.Note, we will only ever contact you over email using a <a href="http://greatquestion.co" target="_blank">greatquestion.co</a> email address.

Great Question

AI Engineer

270 Software Engineering Jobs in Wichita, KS, USA