ai platform engineer

Notable

<div>Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.
We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.
Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.
Role Summary:
Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable&rsquo;s solutions. You&rsquo;ll translate ambiguous problem statements into clear, high‑quality technical plans and own delivery end‑to‑end &mdash; from ideation and requirements, to implementation, launch, and post‑delivery monitoring &mdash; with a focus on scalability, reliability, and measurable impact for our customers. You&rsquo;ll also leverage AI agents to increase day‑to‑day efficiency and share learnings that raise the overall quality bar across the engineering environment.<div></div> 
What You&rsquo;ll Do:<ul><li>
Develop and maintain LLM integrations to power AI features across solutions.</li><li>
Ensure scalability, reliability, and performance of AI features in production.</li><li>
Translate abstract requirements into structured, sound technical plans and milestones.</li><li>
Own implementations end‑to‑end: discovery/requirements design build launch post‑delivery monitoring/iterating.</li><li>
Evaluate and articulate implications and trade‑offs of technical choices.</li><li>
Leverage AI agents to improve development velocity and operational efficiency.</li><li>
Collaborate across engineering and adjacent teams to share learnings, improve processes, and continuously raise quality.</li></ul>
You&rsquo;re a Great Fit if:<ul><li>
Strong proficiency in Python for production software.</li><li>
Proficiency with Jupyter Notebook or an equivalent environment (e.g., JupyterLab, Databricks, Colab, etc.).</li><li>
Demonstrated experience building, integrating, and operating LLM‑powered features/services.</li><li>
Ability to decompose ambiguous problems, write clear technical plans, and execute with high ownership.</li><li>
Experience designing for reliability, scalability, and observability in production systems.</li><li>
You leverage AI Agents for day-to-day efficiency.</li></ul><div></div> 
Nice to Have:<ul><li>
Terraform and Helm Charts for infrastructure and deployment.</li><li>
Google Cloud Platform (e.g., GKE, Cloud Run, Cloud Storage).</li><li>
Typescript for service or UI integrations.</li><li>
Postgres for application data modeling and performance.</li><li>
Experience with ML/AI platforms, agents, or orchestration frameworks.</li></ul>
#LI-TD1
We value in-person collaboration and connection. For Bay Area&ndash;based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.
Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be a recruiter from Notable from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.
Compensation Range: $170K - $205K</div>

AI Platform Engineer

Relativity

<div>
 
 
 Posting Type
 
 
 
 
 Hybrid/Remote
 
 
 
 Job Overview
 
 
 
 WHO WE ARE
 
 
 Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
 
 
 The world&rsquo;s largest law firms, corporations, and government agencies rely on Relativity&rsquo;s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we&rsquo;re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
 
 
 
 What We Do
 
 
 
 At Relativity, engineers don&rsquo;t just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
 
 
 aiR Services Team
 
 
 The aiR Services team builds the shared backend platform that powers Relativity&rsquo;s generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
 
 
 If you&rsquo;re excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.
 
 
 
 Job Description And Requirements
 
 
 
 ABOUT THE ROLE
 
 
 As a Software Engineer, you will build and operate backend services that power Relativity&rsquo;s generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.
 
 
 This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
 </li>
 <li>
 Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
 </li>
 <li>
 Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
 </li>
 <li>
 Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
 </li>
 <li>
 Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
 </li>
 <li>
 Participate in pair programming to improve software quality and share design and implementation knowledge
 </li>
 <li>
 Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads
 
 
 </li>
 </ul>
 
 Required
 
 
 
 WHAT WE&rsquo;RE LOOKING FOR
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field, or equivalent practical experience
 </li>
 <li>
 Experience building backend services using languages such as C#, Python, or similar
 </li>
 <li>
 Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
 </li>
 <li>
 Strong foundational knowledge of distributed systems, scalability, and backend service design
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Understanding of DevOps principles and experience with tools such as GitHub Actions
 </li>
 <li>
 Experience working with large language model (LLM) APIs or generative AI systems
 </li>
 <li>
 Experience designing and building scalable systems in Azure or other cloud platforms
 </li>
 <li>
 Experience with Kubernetes, serverless technologies, and cloud-native architectures
 </li>
 <li>
 Familiarity with domain-driven design and event-driven architecture
 </li>
 <li>
 Experience with AI-driven development practices or AI-assisted coding tools
 </li>
 <li>
 Awareness of emerging technology trends and their practical application in engineering
 
 
 </li>
 </ul>
 WHY WE COULD BE A GREAT FIT
 
 
 Impactful AI Platform
 
 
 <ul>
 <li>
 Build foundational systems that power Relativity&rsquo;s generative AI capabilities and enable products across the aiR Suite.
 
 
 </li>
 </ul>
 Distributed Systems at Scale
 
 
 <ul>
 <li>
 Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.
 
 
 </li>
 </ul>
 Cutting-Edge Technology
 
 
 <ul>
 <li>
 Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.
 
 
 </li>
 </ul>
 Growth Opportunity
 
 
 <ul>
 <li>
 Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.
 
 
 </li>
 </ul>
 Collaborative Culture
 
 
 <ul>
 <li>
 Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 <ul>
 <li>
 Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.
 
 
 </li>
 </ul>
 
 Relativity is committed to competitive, fair, and equitable compensation practices.
 
 
 
 This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
 
 
 The expected salary range for this role is between following values:
 
 
 $79,000 and $119,000
 
 
 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
 
 
 
 Required Skills
 
 
 
 Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting
</div>

Software Engineer

<div>For decades, DTN has been the silent force behind some of the world&rsquo;s most critical industries&mdash;helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights&mdash;enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don&rsquo;t follow trends&mdash;we set the standard for precision, trust, and operational impact.
DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we&rsquo;re accelerating growth and expanding our global footprint. Our purpose-built solutions&mdash;powered by AI and honed by decades of vertical expertise&mdash;are helping some of the world&rsquo;s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.
J ob Description:
<div><div>The DTN Information Hub (DIH) is a bold new initiative designed to transform how we deliver value to our customers across agriculture, weather, and energy. Our mission is to build advanced AI a gents that leverage DTN's trusted data and deep industry expertise to provide customers with actionable insights, informed recommendations, and enhanced decision support.
</div><div>As a Software Engineer on the AI Core Team, you'll be at the heart of this mission &mdash; designing and building the agentic systems, LLM-powered workflows, and intelligent infrastructure that power the next generation of DTN products.
</div><div>What you&rsquo;ll be responsible for :
</div><div><ul><li>Design, build, and maintain agentic AI pipelines and workflows that automate complex, multi-step reasoning and decision support tasks.
</li></ul></div><div><ul><li>Integrate and fine-tune large language models (LLMs), including prompt engineering, model evaluation, and iterative improvement.
</li></ul></div><div><ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) systems that ground AI outputs in DTN's trusted data and domain knowledge.
</li></ul></div><div><ul><li>Build and maintain AI platform infrastructure and observability tooling &mdash; including logging, monitoring, tracing, and evaluation frameworks for AI systems in production.
</li></ul></div><div><ul><li>Leverage AWS services, including Amazon Bedrock AgentCore and Strands Agents, to architect scalable, reliable AI solutions.
</li></ul></div><div><ul><li>Collaborate cross-functionally with product managers, domain experts, and fellow engineers to translate complex business needs into AI-powered solutions.
</li></ul></div><div><ul><li>Contribute to a culture of engineering excellence through code reviews, documentation, and knowledge sharing.
</li></ul></div><div>What you will bring to this role:
</div><div><ul><li>3 + years of software engineering experience with a solid grasp of software fundamentals: APIs, testing, version control, and CI/CD.
</li></ul></div><div><ul><li>A solid foundation in Python and JavaScript , with developing skills in full-stack development using Node.js, Next.js, React, and TypeScript.
</li></ul></div><div><ul><li>Hands-on experience with AI frameworks and tooling ( e.g., LangChain , Claude SDK , OpenAI APIs, Amazon Bedrock AgentCore ).
</li></ul></div><div><ul><li>Experience building or working with RAG pipelines, vector databases, or semantic search systems ; as well as knowledge of prompt engineering and model evaluation techniques.
</li></ul></div><div><ul><li>Working knowledge of AWS cloud services.
</li></ul></div><div><ul><li>Excellent written and verbal communication skills &mdash; ability to explain complex AI concepts to non-technical stakeholders.
</li></ul></div><div><ul><li>4-year degree in Computer Science, Software Engineering, or a related field.
</li></ul></div></div><div><div><ul><li>Bonus Skills: AI/ML certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer, Coursera/DeepLearning.AI specializations). Experience or interest in agriculture, weather, or energy industry domains.
</li></ul></div><div>What you can expect from DTN:
</div><div><ul><li>Competitive Salary
</li></ul></div><div><ul><li>Generous PTO
</li></ul></div><div><ul><li>Flexible work arrangements
</li></ul></div><div><ul><li>C ompetitive Medical, Dental and Vision Insurance Plans
</li></ul></div><div><ul><li>6% 401K matching
</li></ul></div><div><ul><li>Unlimited access to 13k+ courses via learning platform to support employee career advancement
</li></ul></div><div><ul><li>Employee Assistance Program (EAP)
</li></ul>Compensation
 
The targeted hiring base pay range for this position is between $101,000 and $124,000 . DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
#LI-Engineering
#LI-AI
 
#LI-REMOTE
 
#LI-TH1
</div></div>About DTN:
DTN is a global data and technology company helping operational leaders in energy, agriculture, and weather-driven industries make faster, smarter decisions. Our Operational Decisioning Platform turns complex data into decision-grade insights&mdash;empowering customers to expand their margins, accelerate growth, and outpace risk. With more than 1,200 employees globally, DTN serves the companies that feed, fuel, and protect the world.
At DTN, we value clarity, trust , and action . We&rsquo;re a team of problem-solvers, outcome-drivers, and industry nerds who believe that precision matters &ndash; and that mission is at the core of what we do.
<ul><li>Trust Built: We earn it. We keep it. We protect it. Our neutrality, precision, and integrity are non-negotiable.
</li><li>Confidence-Driven: We help customers move with clarity and conviction. We bring the data and operational knowledge leaders need to act.
</li><li>Built for Industry: We speak operations because we come from operations. Our expertise is forged in fuel terminals, fields, flight paths, and forecasts.
</li><li>Future-Forward: We see what&rsquo;s coming- and we&rsquo;re ready. We help customers lead through change with smarter decisioning.
</li></ul>Recruitment Fraud Notice:
DTN is aware of incidents where external parties have impersonated our organization, issuing fraudulent communications and/or job offers. Please be advised that all legitimate communication from DTN will come from an official @dtn.com email address or through our Paradox AI automated scheduling platform (Talent IQ). Any offers are extended directly by our Talent Acquisition team following a formal interview process.
If you receive a suspicious message or offer claiming to be from DTN, please do not engage. Contact our Talent Acquisition team at Careers@dtn.com to verify the legitimacy of any communication. Report any fraudulent messaging as phishing or spam.
DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.</div>

AI Core Software Engineer

Workiva

<div>Workiva is building a next-generation AI platform for mission-critical workflows used by some of the world&rsquo;s largest and most regulated organizations. We are seeking a Senior Staff Machine Learning Engineer to define how AI is architected, deployed, and trusted across our platform at enterprise scale, where accuracy, auditability, security, and reliability matter most.
<h2 class="jobSectionHeader">What You&rsquo;ll Do
</h2><h2 class="jobSectionHeader">AI Platform Architecture
</h2><ul><li>Own the architecture of Workiva&rsquo;s AI platform and core AI services
</li><li>Shape how machine learning, Generative AI, and agentic systems are integrated across products
</li><li>Lead the move from early adoption to production-grade, enterprise-ready systems
</li><li>Define standards for model serving, retrieval, evaluation, governance, and platform reliability
</li></ul><h2 class="jobSectionHeader">Agentic AI and Generative AI Leadership
</h2><ul><li>Lead the design of enterprise agentic systems, including orchestration, workflow execution, memory, and multi-agent coordination
</li><li>Design and evolve Retrieval-Augmented Generation capabilities for enterprise content and knowledge workflows
</li><li>Establish evaluation methods and quality frameworks for Generative AI applications
</li><li>Assess emerging AI technologies and guide adoption strategy for Workiva&rsquo;s platform
</li></ul><h2 class="jobSectionHeader">Technical Leadership
</h2><ul><li>Influence technical direction across teams, products, and platform domains
</li><li>Mentor Staff and Senior Engineers and help raise the technical bar across the organization
</li><li>Partner closely with Product, Security, Infrastructure, and Architecture leaders
</li><li>Align teams around a shared vision for scalable, secure AI at Workiva
</li></ul><h2 class="jobSectionHeader">Security, Governance, and Reliability
</h2><ul><li>Lead secure AI platform design, including authorization, runtime isolation, governance, auditability, and compliance
</li><li>Establish best practices for AI safety, model governance, and customer data protection
</li><li>Ensure AI systems meet enterprise expectations for availability, resiliency, observability, and operational support
</li><li>Design for fault tolerance and operational excellence in regulated, security-conscious environments
</li></ul><h2 class="jobSectionHeader">What You&rsquo;ll Need
</h2><h2 class="jobSectionHeader">Minimum Qualifications
</h2><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience
</li><li>10+ years of software engineering experience, including large-scale SaaS platforms
</li><li>5+ years designing, deploying, and operating production ML, AI, or data-intensive systems
</li></ul><h2 class="jobSectionHeader">Preferred Qualifications
</h2><ul><li>Experience designing and operating enterprise AI platforms, including model serving, evaluation, observability, and governance.
</li><li>Deep expertise in RAG, agentic systems, and large-scale knowledge systems
</li><li>Strong understanding of foundation model ecosystems, including inference, routing, prompting, and provider tradeoffs
</li><li>Experience with AI evaluation, secure AI systems, and regulated enterprise environments
</li><li>Proven track record leading architecture across multiple teams or platform domains
</li><li>Strong distributed systems, cloud-native, API, reliability, and operational excellence experience
</li><li>Expert-level Python proficiency and proficiency in at least one production language such as Java, Go, Scala, or C++
</li><li>Proven record mentoring senior engineers and technical leaders
</li></ul>Working Conditions
<ul><li>Less than 10% travel
</li><li>Reliable internet access for remote working opportunities
</li></ul>How You&rsquo;ll Be Rewarded
✅ Salary range in the US: $193,000.00 - $308,000.00
✅ A discretionary bonus typically paid annually
✅ Restricted Stock Units granted at time of hire
✅ 401(k) match and comprehensive employee benefits package
The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world&rsquo;s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation&mdash;ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you&rsquo;ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you&rsquo;re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we&rsquo;d love to meet you.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com . 
 
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
#LI-MJ2</div>

Senior Staff Machine Learning Engineer - US

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Senior Staff Machine Learning Engineer - US