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REVI

<p>We're hiring a Junior AI Engineer to help us design, build, and ship agentic AI systems and ML-powered features into production. You'll work alongside senior engineers on real problems &mdash; building agents that take actions on behalf of restaurants, tuning models that personalize customer experiences, and integrating frontier LLMs into our product stack. This is a hands-on builder role; expect to write production code, deploy services, and iterate quickly based on user feedback.</p><p>What You'll Do</p><p>Build and ship agentic AI features &mdash; single-agent and multi-agent systems that perform real tasks for restaurants and their customers</p><p>Develop deterministic ML models (classification, ranking, regression, retrieval) for use cases across the platform</p><p>Integrate LLM APIs (Anthropic Claude, OpenAI GPT, and others) into product workflows, including prompt engineering, tool use, structured outputs, and retrieval-augmented generation</p><p>Deploy and maintain AI/ML services in production &mdash; containerized, observable, and reliable</p><p>Work closely with senior engineers and product to translate fuzzy product ideas into shipped features</p><p>Contribute to evaluation and monitoring frameworks so we know our agents and models actually work</p><p>What We're Looking For</p><p>Basic Qualifications</p><p>0&ndash;3 years of experience building AI/ML systems. This can come from full-time work, internships, or substantive class/research projects &mdash; what matters is depth, not the source</p><p>Demonstrable hands-on experience with agentic AI &mdash; single-agent or multi-agent systems built using frameworks like LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or custom orchestration</p><p>Working knowledge of deterministic ML modeling &mdash; building, training, and evaluating models with libraries like scikit-learn, XGBoost, LightGBM, or PyTorch</p><p>Hands-on experience integrating LLM APIs (Claude, GPT, Gemini, etc.) into a working application &mdash; including prompt design, tool calling, and handling streaming/structured responses</p><p>Some deployment experience &mdash; you've put a service behind an API, containerized it, and run it somewhere real (AWS/GCP/Azure, Modal, Render, Fly, etc.)</p><p>Strong Python skills; comfort with Git, REST APIs, and basic SQL</p><p>BS or MS in Computer Science, Machine Learning, or a related quantitative field &mdash; or equivalent demonstrable skill</p><p>Preferred Qualifications</p><p>Experience with vector databases (Pinecone, Weaviate, pgvector, etc.) and RAG pipelines</p><p>Familiarity with LLM observability/eval tools (LangSmith, Langfuse, Braintrust)</p><p>Exposure to distributed data processing (Spark, Databricks) or streaming systems (Kafka, Kinesis, Pub/Sub) &mdash; even from an internship or coursework</p><p>Exposure to voice AI, speech-to-text, or real-time conversational systems</p><p>Experience with restaurant tech, commerce platforms, or B2B SaaS</p><p>Our Values</p><p>Heart: A team that is passionate about what they do, with a heart of giving back.</p><p>Impact: Being a versatile team player with an innovative mind and a firm backbone to make an impact on everything they touch.</p><p>Excellence: A team committed to excellence in all we do, with integrity and supreme service.</p><p>Perks and Benefits of Joining the Revi Team</p><p>Ship real agentic AI to real customers &mdash; not demos</p><p>Work directly with senior engineers and leadership on architecture and product decisions</p><p>Move fast, own outcomes, and grow rapidly into a senior IC</p><p>Competitive compensation, meaningful early-stage equity, and a strong AI-forward culture</p><p>Excellent and comprehensive health plans (Medical, dental, vision, etc)</p><p>Flexible Vacation Policy, Paid holidays</p><p>Organized volunteer events to give back to our community</p><p>Off-sites, events and happy hours</p><p>401k</p><p>Comp range - Base : 130k USD - 170k USD + Equity</p><p>Pay: $130,000.00 - $170,000.00 per year</p><p>Work Location: In person</p>

JR. AI ENGINEER

Ontrac Solutions

<div><h1 class="jobSectionHeader"><b>Overview</b></h1>
<p>We are seeking a Principal GenAI Architect / Forward Deployed Principal Engineer to lead the design, delivery, and productionization of enterprise-grade Generative AI solutions within a highly regulated banking environment. This role will partner directly with business, product, engineering, architecture, risk, cyber, legal, compliance, and model governance teams to translate high-impact financial services use cases into scalable, secure, and compliant AI systems.</p>
<p>The ideal candidate has deep experience designing and delivering production-scale GenAI solutions across enterprise environments, with strong exposure to banking, financial services, risk management, customer operations, regulatory controls, and data protection requirements. This person will serve as a recognized GenAI expert across the organization, helping define reusable patterns, influence platform roadmaps, and raise the technical bar for responsible AI adoption across lines of business.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<h3 class="jobSectionHeader"><b>GenAI Architecture &amp; Production Readiness</b></h3>
<p>Own and define enterprise-grade GenAI architectures for banking and financial services use cases, including RAG pipelines, agentic workflows, prompt orchestration, and multi-model routing strategies.</p>
<p>Drive production readiness for GenAI solutions, ensuring scalability, resiliency, observability, latency optimization, security, and cost efficiency.</p>
<p>Lead complex architectural decisions across data ingestion, vector databases, model selection, guardrails, API scalability, performance optimization, and secure integration with banking systems.</p>
<p>Establish reference architectures, reusable patterns, and best practices to accelerate responsible GenAI adoption across lines of business.</p>
<p>Partner with central AI platform teams to align solution architecture with enterprise AI services, platform capabilities, banking technology standards, and long-term roadmap priorities.</p>
<h3 class="jobSectionHeader"><b>Banking Use-Case Delivery</b></h3>
<p>Act as a Forward Deployed Principal Engineer, partnering directly with business, product, and engineering teams to deliver high-impact GenAI use cases from ideation through production.</p>
<p>Translate banking and financial services business problems into clear AI system designs, technical requirements, and non-functional requirements with measurable outcomes.</p>
<p>Support GenAI use cases across areas such as customer service, operations, knowledge management, risk, compliance, fraud, employee productivity, document intelligence, and internal workflow automation.</p>
<p>Troubleshoot and resolve complex issues across non-production and production environments.</p>
<p>Partner closely with application teams to ensure AI solutions integrate effectively into existing banking platforms, enterprise workflows, data environments, APIs, and control frameworks.</p>
<p>Influence platform roadmap by feeding real-world banking use-case requirements back into central AI services and enterprise AI platform teams.</p>
<h3 class="jobSectionHeader"><b>Governance, Risk &amp; Compliance</b></h3>
<p>Ensure all AI solutions align with banking risk, cyber, model governance, data protection, privacy, and regulatory expectations.</p>
<p>Partner with Cyber, Model Risk Management, Legal, Compliance, Risk, and Data Governance teams to design compliant AI patterns without slowing delivery.</p>
<p>Embed security, privacy, responsible AI, ethical AI, explainability, human oversight, and auditability into solution design by default.</p>
<p>Help define practical implementation patterns that balance innovation, speed, governance, regulatory expectations, and enterprise control requirements.</p>
<p>Ensure GenAI solutions are designed with appropriate guardrails for sensitive financial data, customer information, personally identifiable information, and regulated business processes.</p>
<h3 class="jobSectionHeader"><b>Organizational Influence &amp; Mentorship</b></h3>
<p>Serve as a recognized GenAI expert across the enterprise, regularly consulted by engineering, architecture, product, risk, compliance, and leadership teams.</p>
<p>Mentor senior and staff-level engineers and help raise the technical bar across banking technology teams.</p>
<p>Contribute to internal communities of practice, architecture reviews, executive-level technical discussions, AI governance forums, and knowledge-sharing sessions.</p>
<p>Represent enterprise GenAI capabilities in internal innovation forums, banking technology discussions, and responsible AI showcases.</p>
<h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<p>7+ years of software engineering experience, with significant depth in AI/ML, data-intensive systems, distributed systems, or enterprise-scale platforms.</p>
<p>2+ years of hands-on Python programming experience.</p>
<p>2+ years of experience designing and delivering production-scale Generative AI systems in an enterprise environment.</p>
<p>2+ years of experience with LLMs, prompt engineering, and RAG architecture.</p>
<p>2+ years of experience with vector databases, semantic search, and retrieval systems.</p>
<p>2+ years of experience with API-driven, cloud-native architectures.</p>
<p>2+ years of experience with distributed systems, performance optimization, scalability, and reliability engineering.</p>
<p>Experience working within banking, financial services, fintech, or another highly regulated enterprise environment.</p>
<h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<p>Strong understanding of banking technology environments and non-functional requirements, including security, scalability, resiliency, observability, latency, auditability, and cost management.</p>
<p>Demonstrated Principal-level impact, with influence across multiple teams, platforms, business units, or lines of business.</p>
<p>Experience operating in highly regulated environments, with financial services or banking experience strongly preferred.</p>
<p>Hands-on experience with agentic AI frameworks, AI workflow orchestration, and multi-model routing.</p>
<p>Prior experience in a Forward Deployed Engineer, embedded engineering, or business-facing technical delivery model.</p>
<p>Experience partnering with risk, cyber, legal, compliance, data governance, or model governance teams to deliver production AI solutions.</p>
<p>Familiarity with banking controls, customer data protection, model risk management, audit requirements, regulatory expectations, and responsible AI principles.</p>
<p>Ability to communicate complex technical concepts clearly to senior executives, technical stakeholders, risk partners, compliance teams, and non-technical business leaders.</p>
<h2 class="jobSectionHeader"><b>Ideal Candidate Profile</b></h2>
<p>The ideal candidate is a hands-on Principal-level engineer and architect who can move seamlessly between strategy, architecture, and execution in a banking environment. They are comfortable working directly with business teams to understand real-world financial services problems, while also going deep with engineering teams on system design, performance, security, governance, and production readiness.</p>
<p>This person brings strong technical judgment, enterprise banking delivery experience, and the ability to build practical, compliant GenAI solutions that can scale responsibly across a large financial institution.</p></div>

Principal AI Engineer

Wells Fargo

<div><p><b>About this role:</b></p><p>
Wells Fargo is seeking a Principal Engineer to join our AI Platforms and Enterprise Execution Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com.</p><p></p><p>
This role focuses on designing and delivering enterprise‑scale strategic initiatives in reusable AI patterns that deliver business and customer value.</p><p></p><p>
This is a hands‑on Principal Engineer role for a technical leader who designs, builds, and scales AI‑driven platforms, while operating at enterprise scope. The Principal Engineer serves as a technical authority who codes, prototypes, and reviews architecture, not just oversees execution</p><p><b><br>
In this role, you will:</b></p><ul><li>
Act as a trusted advisor to leadership, guiding the development and influence of applications, networks, information security, databases, operating systems, web technologies, and emerging AI capabilities to address highly complex business and technical needs across multiple groups</li><li>
Lead the strategy and resolution of highly complex, unique challenges through end‑to‑end solution design, including Generative and Agentic AI systems, cloud‑native platforms, and legacy modernization efforts that require long‑term vision, creativity, innovation, and advanced analytical thinking</li><li>
Translate advanced technology expertise, deep understanding of enterprise business objectives, organizational structure, and the broader technology ecosystem into scalable engineering solutions, such as reusable architectures, AI-enabled platforms, and production‑ready systems</li><li>
Provide vision, direction, and technical leadership to senior leaders on implementing innovative business solutions, embedding AI and automation into product delivery workflows, decision support, and developer productivity while ensuring alignment with security, compliance, and responsible AI standards</li><li>
Maintain deep awareness of industry best practices, emerging technologies, and AI advancements, proactively recommending innovations that modernize operations, improve efficiency and quality, and create competitive advantage for the organization</li><li>
Strategically engage with professionals and managers at all levels of the enterprise, serving as an expert technical advisor and escalation point for complex platform, data, and AI decisions while mobilizing and guiding large‑scale, cross‑organizational initiatives and communicating progress to executive leadership</li></ul><p></p><p><b><br>
Required Qualifications:</b></p><ul><li>
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
7+ years of senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems</li><li>
4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication</li><li>
3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon</li><li>
3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling</li></ul><p></p><p><b>
Desired Qualifications:</b></p><ul><li>
Experience working within agile product operating models in large enterprise environments, including agile software delivery and cloud infrastructure</li><li>
Financial services experience preferred; Business Banking domain experience is beneficial but not required</li><li>
Demonstrated ability to mentor senior and staff engineers, raising the technical bar of the organization</li><li>
Proven strategic thinking, analytical problem‑solving, and sound technical judgment in fast‑paced settings</li><li>
Proven experience with cloud infrastructure and containerization, including enterprise compute, storage, and IaaS environments</li><li>
Demonstrated curiosity and innovation mindset for advancing Generative and Agentic AI solutions within regulated enterprise contexts</li><li>
Strong organizational savvy and customer centricity, with the ability to navigate complex enterprise structures and align technology to business outcomes</li></ul><p><b><br>
Job Expectations:</b></p><ul><li>
Ability to travel as needed
</li><li>This position offers a hybrid work schedule</li><li>
This position is not eligible for Visa sponsorship</li></ul><p></p><p><b>
Job Location</b>:</p><p>
333 Market St - San Francisco, California 94105</p><p>
300 S. Brevard - Charlotte, North Carolina 28202</p><p>
2600 S Price Rd - Chandler, Arizona 85286</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$159,000.00 - $305,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
12 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Distyl AI

<div><h1 class="jobSectionHeader"><b>About Distyl AI
</b></h1><p>Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.<br>
<br>
We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.<br>
<br>
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.</p><p></p><h1 class="jobSectionHeader"><b>
What We Are Looking For</b></h1><p>
Forward Deployed AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.</p><p></p><p>
Forward Deployed AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.</p><p></p><p>
This is not a demo-building role. Forward Deployed AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.</p><h1 class="jobSectionHeader"><b>
Key Responsibilities</b></h1><ul><li><p>
Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production</p></li><li><p>
Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs</p></li><li><p>
Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications</p></li><li><p>
Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value</p></li><li><p>
Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time</p></li><li><p>
Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve</p></li><li><p>
Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement</p></li><li><p>
Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact</p></li><li><p>
Take accountability for the production outcomes of the components, workflows, and systems you build</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Require</b></h1><ul><li><p><b>
2+ years of software engineering experience</b></p></li><li><p><b>
Ownership mentality for AI systems.</b> You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work</p></li><li><p><b>
Experience building AI systems.</b> You have built applications powered by LLMs or other AI models and are comfortable composing multiple components &mdash; prompts, agents, tools, retrieval, evaluators, workflows, and integrations &mdash; into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes</p></li><li><p><b>
Strong engineering fundamentals.</b> You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness</p></li><li><p><b>
AI-native working style.</b> You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems</p></li><li><p><b>
Comfort in customer environments.</b> You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations</p></li><li><p><b>
Pragmatic delivery mindset.</b> You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users</p></li><li><p><b>
Willingness to travel.</b> Travel is typically 10&ndash;30%, depending on the project, customer needs, and your role on the engagement</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Offer</b></h1><ul><li><p>
The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package</p></li><li><p>
100% covered medical, dental, and vision for employees and dependents</p></li><li><p>
401(k) with additional perks (e.g., commuter benefits, in‑office lunch)</p></li><li><p>
Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems</p></li><li><p>
Ownership of high‑impact projects across top enterprises</p></li><li><p>
A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence</p></li></ul><p>
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.</p><p><i>
#LI-Hybrid</i></p><p></p><p>
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.</p></div>

Forward Deployed AI Engineer

Workato

<div><div><h1 class="jobSectionHeader"><b>About Workato</b></h1>
<p>
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com</p>
<h1 class="jobSectionHeader"><b>
Why join us?</b></h1>
<p>
Ultimately, Workato believes in fostering a <b>flexible, trust-oriented culture that empowers everyone to take full ownership of their roles</b>. We are driven by <b>innovation </b>and looking for<b> team players </b>who want to actively build our company.</p>
<p>
But, we also believe in <b>balancing productivity with self-care</b>. That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.</p>
<p>
If this sounds right up your alley, please submit an application. We look forward to getting to know you!</p>
<p>
Also, feel free to check out why:</p>
<ul>
<li><p>Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;</p>
</li>
<li><p>Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world</p>
</li>
<li><p>Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America</p>
</li>
<li><p>Quartz ranked us the #1 best company for remote workers</p>
</li>
</ul></div><div><h2 class="jobSectionHeader"><b>Senior AI Engineer &ndash; Developer Products</b></h2>
<p><b>
Location:</b> San Francisco, CA (Onsite/Hybrid)</p>
<h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
We are seeking an exceptional <b>Senior Software Engineer</b> to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities</b></h3>
<ul><li><b>Design, build, and enhance</b> AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models.</li>
<li><b>Develop well-architected, testable, and efficient Python code</b> to support rapid prototyping and experimentation.</li>
<li><b>Implement and improve validation, monitoring, and observability</b> for ML services within the sandbox environment.</li>
<li><b>Drive the full development lifecycle</b>: from ideation and architecture to deployment and continuous improvement.</li>
<li><b>Collaborate with cross-functional teams</b> to design developer-centric solutions and intuitive user experiences.</li>
<li><b>Continuously evaluate and optimize</b> existing implementations for performance, scalability, and developer usability.</li>
<li><b>Identify and resolve bottlenecks, bugs, and technical challenges</b> in a fast-paced, iterative environment.</li>
<li><b>Conduct code reviews</b> and mentor team members to uphold high engineering standards.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3>
<h4 class="jobSectionHeader"><b>Qualifications / Experience / Technical Skills</b></h4>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.</li>
<li><b>5+ years of experience</b> as an ML Engineer, Data Scientist, or similar role.</li>
<li><b>Strong Python programming skills</b> and hands-on experience with NLP and LLM models.</li>
<li>Proven track record of <b>deploying and maintaining ML services in production</b> environments.</li>
<li>Solid understanding of <b>network protocols, API design, and developer tooling</b>.</li>
<li>Experience with <b>relational and non-relational databases</b>.</li>
<li><b>LLMops/MLops experience</b> is a strong plus, especially in developer-facing products.</li>
<li>Experience building or supporting <b>developer platforms, APIs, or sandbox environments</b> is highly desirable.</li>
</ul><h4 class="jobSectionHeader"><b>Soft Skills / Personal Characteristics</b></h4>
<ul><li>Collaborative team player with a passion for empowering developers and improving developer experience.</li>
<li>Adaptable, proactive, and creative&mdash;comfortable working in a dynamic, startup-like environment.</li>
<li>Strong problem-solving skills and a continuous improvement mindset.</li>
</ul>
<p><b>Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences!</b><br>
<br>
The salary range for this role is dependent on experience and ranges from $170,000 to $250,000. We also provide stock options to all employees and generous benefits.</p></div></div>

Senior AI Engineer – Developer Products

Hellyeah AI

<p><b>AI Engineer - Learn Engine: Intelligence &amp; Optimization</b></p><p>Location: San Francisco HQ; Shanghai</p><p>Address: San Francisco, California</p><p>Employment Type: Full time</p><p>Location Type: Hybrid</p><p>Department: Engineering</p><p>Compensation: San Francisco $200K - $1M + 0.5% - 3% equity</p><p>Build the brain of an autonomous growth OS. The system you create will manage millions in ad spend and get measurably smarter with every dollar. This is the moat: every competitor has humans optimizing campaigns manually. You are building the intelligence layer that compounds. The Platform engineer creates the tools; you create the decisions. Together you build something nobody else has.</p><p>Must Have</p><p>- Has built recommendation, optimization, or decision systems where outputs improve future inputs.</p><p>- Strong statistical reasoning and experimentation judgment under noisy real-world data.</p><p>- Strong LLM orchestration or agent-system experience for reasoning over campaign context.</p><p>- Can design optimization policies, scoring systems, or automated recommendation loops.</p><p>- AI-first development workflow and ability to ship production systems quickly.</p><p>Nice to Have</p><p>- Ad-tech optimization patterns: bid management, budget allocation, ROAS optimization.</p><p>- Reinforcement learning experience.</p><p>- Hyperparameter optimization experience.</p><p>- Model fine-tuning experience.</p><p>- Experience building agent-driven automation where LLM agents take actions.</p><p>- Background in growth engineering, performance marketing, or data science.</p><p>- Experience with Mastra or similar agent orchestration framework.</p><p>What You Will Own</p><p>Own the intelligence and optimization layer of Learn Engine. Build recommendation engines for bid changes, budget reallocation, pause/boost decisions, and postback optimization. Turn SSOT campaign data into high-quality optimization guidance and closed-loop decision systems. Define how the system learns from outcomes and continuously improves campaign strategy over time. This role owns decision quality, optimization policy, and learning loops, not platform plumbing or simulator infrastructure.</p><p>Pay: $200,000.00 - $1,000,000.00 per year</p><p>Work Location: In person</p>

AI Engineer - Learn Engine: Intelligence & Optimization

Notion

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 Who We Are
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 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
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 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
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  About The Role
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 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
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 We're looking for an New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
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  Role
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 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
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   AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
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   Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
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   Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
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 What You&rsquo;ll Achieve
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   Partner with your team to prototype and ship an AI-powered product improvement
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   Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
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   Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
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  Qualifications
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   Pursuing a bachelor's or master&rsquo;s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
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   Previous internship experience.
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   Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.
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 Skills You'll Need To Bring
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   Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
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   Problem-solving: You&rsquo;re curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.
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   Communication and collaboration: You communicate clearly in writing and in meetings, and you&rsquo;re comfortable learning in public&mdash;sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).
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   Impact and user focus: You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you&rsquo;re mindful that features at Notion can reach millions of people.
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 Nice To Haves
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   You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
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   You&rsquo;re a builder who finds joy in building software solutions for yourself or others
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   You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
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   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
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 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $126,000-$146,000.
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 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
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 A Note on AI
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 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
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 Equal Opportunity &amp; Accommodations
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 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
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 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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Software Engineer, New Grad (AI)

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