ai platform engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Client is building its enterprise GenAI capability across two closely partnered organizations: the GenAI Platform &amp; Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.
<br>
<br>
Every seat is hands-on. Engineers design, build, test, document, and operate; FTE seats additionally carry track ownership, contractor review, and production deployment under the bank&rsquo;s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.
</p></div><div><p>Leverage GenAI capabilities in your own engineering workflow &mdash; coding assistants, agent-based automation, AI-assisted testing and debugging &mdash; to accelerate delivery, including SDLC automation opportunities.
</p></div><div><p>Work within the bank&rsquo;s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.
</p></div><div><p>Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.
</p></div><div><p>Pair for capability transfer &mdash; FTEs with contractor counterparts, contractors with FTE track owners &mdash; so knowledge stays when engagements end.
</p></div><div><p>Participate in support rotations for live workloads with incident triage and root-cause discipline.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>SE III (61 IC): Associate&rsquo;s + 7 years or Bachelor&rsquo;s + 5 years systems analysis/application development experience (or combined 9 years). SE II (60 IC): Associate&rsquo;s + 5 years or Bachelor&rsquo;s + 3 years equivalent experience (or combined 7 years).
</p></div><div><p>Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.
</p></div><div><p>Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).
</p></div><div><p>Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) &mdash; current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.
</p></div><div><p>Experience delivering and operating production systems in a controlled-change environment.
</p></div><div><p>Strong communication, collaboration, documentation, and stakeholder engagement skills.
</p></div></div><p>Nice to have
</p><div><div><p>Demonstrated depth in one or more tracks above &mdash; candidates are routed by strongest track fit across both organizations.
</p></div><div><p>Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations.
</p></div><div><p>Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling.
</p></div><div><p>Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote United States, United States of America
</p></div><p>Req. VR-124264
</p></div><div></div><div><div><p>Information Governance (Platform)
</p></div><div><p>BCM Industry</p>
</div><div><p>30/07/2026
</p></div><div><p>Req. VR-124264</p></div></div></div><p></p>

AI & Platform Software Engineer

Lightning AI

<div><div><h2 class="jobSectionHeader"><b>Who </b><b>We Are</b></h2>
<p>
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems&mdash;designed to take ideas from research to production with less friction.</p>
<p>
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.</p>
<p>
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.</p>
<h2 class="jobSectionHeader"><b>
The Way We Work</b></h2>
<p>
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:</p>
<ul>
<li><b>Move with Urgency:</b> We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.</li>
<li><b>Take Ownership:</b> We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.</li>
<li><b>Communicate Openly:</b> We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.</li>
<li><b>Build Great Teams:</b> We lead by example, empower others, and create healthy teams where people can do their best work.</li>
<li><b>Raise the Bar:</b> We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.</li>
<li><b>Think Long-Term:</b> We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.</li>
</ul>
</div><div></div><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<p>
Lightning AI is looking to hire an <b>AI</b> <b>Platform Support Engineer </b>to join our US Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production environments.</p>
<p>
This role sits at the intersection of ML systems, cloud infrastructure, Kubernetes, and customers. You'll support engineers training models, deploying inference systems, and scaling GPU workloads in production.You are not a ticket router or traditional support engineer. You are a technical partner to ML teams - helping diagnose failures, improve reliability, and guide customers through complex distributed systems problems.</p>
<p>
The problems range from Kubernetes scheduling and GPU orchestration to distributed PyTorch failures, inference latency, networking bottlenecks, storage performance, and platform reliability. You'll gain exposure to a wide variety of real world AI workloads across industries and help shape the infrastructure powering the next generation of ML applications.</p>
<p><i>
This role is hybrid out of our Seattle, San Francisco, or New York office hubs, with an in-office requirement of at least 2 days per week and occasional team and company offsites. The role follows a Monday&ndash;Friday schedule, with working hours from 8:00 AM to 5:00 PM PST. We are not able to provide visa sponsorship for this role at this time.</i></p><h2 class="jobSectionHeader"><br>
<b>
What You'll Do</b></h2>
<p><b>
Work Directly With ML Engineers</b></p>
<ul>
<li>Partner directly with customer engineering teams running training and inference workloads in production</li>
<li>Help customers diagnose and resolve complex distributed systems and ML infrastructure issues</li>
<li>Act as a technical advisor during high impact incidents and platform degradation events</li>
<li>Translate infrastructure level issues into actionable guidance for ML engineers</li>
<li>Build credibility with customers through strong technical reasoning and clear communication</li>
</ul>
<p><b>Debug ML Infrastructure &amp; Distributed Workloads</b></p>
<ul>
<li>Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems</li>
<li>Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues</li>
<li>Analyze logs, metrics, traces, and system behavior to isolate root causes</li>
<li>Debug containerized workloads running across Kubernetes and bare metal GPU environments</li>
<li>Support customers scaling workloads across multi node GPU systems</li>
<li>Diagnose performance bottlenecks involving compute, memory, networking, or storage</li>
</ul>
<p><b>Improve Reliability &amp; Platform Operations</b></p>
<ul>
<li>Identify recurring patterns across customer issues and drive long term reliability improvements</li>
<li>Contribute to post incident reviews and operational improvements</li>
<li>Build internal tooling, automation, documentation, and runbooks</li>
<li>Partner closely with infrastructure, networking, and platform engineering teams</li>
<li>Help improve observability, operational visibility, and troubleshooting workflows</li>
<li>Improve the customer experience through better processes and technical guidance</li>
</ul>
<p><b>What This Role Is Not</b></p>
<p>
To set clear expectations:</p>
<ul>
<li>This is not a traditional help desk or ticket routing support role</li>
<li>This is not purely customer success or account management</li>
<li>This is not a backend engineering role</li>
<li>This is not a passive escalation position</li>
</ul>
<p>This role is for engineers who enjoy solving difficult technical problems while working closely with other engineers.</p><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What You'll Need</b></h2>
<h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<h4 class="jobSectionHeader"><b>Infrastructure &amp; Systems</b></h4>
<ul><li>Strong software engineering and systems troubleshooting background</li>
<li>Experience with Kubernetes and containerized environments</li>
<li>Linux systems knowledge, including networking, storage, process management, and performance tuning</li>
<li>Experience with cloud infrastructure and distributed systems</li>
<li>Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry</li>
</ul><h4 class="jobSectionHeader"><b>ML Infrastructure Experience</b></h4>
<ul><li>Hands on experience operating machine learning workloads in production or research environments</li>
<li>Experience with distributed ML systems and tooling such as PyTorch, CUDA, or NCCL</li>
<li>Familiarity with GPU infrastructure and orchestration</li>
<li>Experience troubleshooting performance, reliability, or scaling issues in ML infrastructure</li>
<li>Understanding of the operational challenges involved in running ML systems at scale</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration</b></h4>
<ul><li>Strong communication skills and ability to work directly with highly technical customers and engineering teams</li>
<li>Comfortable operating in fast moving, highly ambiguous environments</li>
<li>Enjoys solving complex technical problems collaboratively</li>
</ul><h3 class="jobSectionHeader"><b>Ideal Experience</b></h3>
<ul><li>Experience with large scale model training or distributed inference systems</li>
<li>Familiarity with Ray, Kubeflow, Slurm, or similar distributed scheduling platforms</li>
<li>Experience with InfiniBand, RDMA, or high-performance networking</li>
<li>Experience operating bare metal infrastructure</li>
<li>Familiarity with storage systems commonly used in ML environments</li>
<li>Experience working at an AI infrastructure, cloud, MLOps, or developer tooling company</li>
<li>Contributions to platform engineering, developer infrastructure, or operational tooling projects</li>
<li>Experience writing automation, tooling, or scripts in Python or similar languages</li>
</ul><div><h2 class="jobSectionHeader"><b>Benefits and Perks</b></h2>
<p>
We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:</p>
<ul>
<li><b>Comprehensive Health Coverage:</b> Medical, dental, and vision coverage for employees and eligible dependents.</li>
<li><b>Meaningful Equity:</b> RSUs that give employees a stake in the company's long-term success.</li>
<li><b>Retirement Savings:</b> 401(k) matching (U.S.) and pension contributions (U.K.).</li>
<li><b>Flexible Time Off:</b> Unlimited PTO, company holidays, and floating holidays to support work-life balance.</li>
<li><b>Company-Wide Winter Break:</b> Two weeks of company closure each winter to disconnect and recharge.</li>
<li><b>Paid Parental &amp; Family Leave:</b> Paid leave to support you and your family through life's important moments.</li>
<li><b>Professional Development:</b> Annual learning and development allowance to support your professional growth.</li>
<li><b>Wellness Benefits:</b> Wellness and work-from-home stipends to support your physical and mental well-being.</li>
<li><b>Sabbatical Program:</b> Four weeks of paid sabbatical leave after four years of service.</li>
<li><b>Flexible Work:</b> Flexible schedules and a hybrid work model for our office-based teams.</li>
<li><b>In-Office Meals:</b> Complimentary meals at our office hubs.</li>
</ul>
<p>Benefits may vary by location, team, and role.</p><br>
<p></p>
<p><i>
At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.</i></p></div></div>

AI Platform Support Engineer (US)

Lyra Health

<div><div><b>About Lyra Health</b></div>
<div>Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra&rsquo;s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.<br>
</div><div></div><br>
<div><p>We are looking for an experienced Senior AI/ML Platform Engineer who is eager to build the platforms, infrastructure and services necessary to deliver ML and generative AI based products that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.</p>
<p>
Lyra is for you if you</p>
<ul>
<li><p>Thrive on working with brilliant teammates to solve complex, meaningful problems</p>
</li>
<li><p>Are passionate about making a social impact and supporting people at their most challenging moments</p>
</li>
<li><p>Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers</p>
</li>
</ul><p>In this role, you will</p>
<ul>
<li><p>Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company</p>
</li>
<li><p>Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions</p>
</li>
<li><p>Build services that expose machine learning and AI based products</p>
</li>
<li><p>Deploy and manage various applications in production</p>
</li>
<li><p>And of course, you will be coding every day!</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>We are looking for someone with:</b></h3><div>
<ul>
<li><p>4+ years of experience delivering production ready products</p>
</li>
<li><p>Ability to write high-quality code in Python</p>
</li>
<li><p>Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)</p>
</li>
<li><p>Experience working with Docker and deploying applications to Kubernetes</p>
</li>
<li><p>Experience with relational and low-latency databases</p>
</li>
<li><p>Experience building RAG based AI solutions</p>
</li>
<li><p>Experience setting up and maintaining vector databases</p>
</li>
<li><p>Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)</p>
</li>
<li><p>A desire to learn new technologies quickly</p>
</li>
<li><p>A love of building systems from scratch</p>
</li>
<li><p>A thoughtful approach to balancing quality and deadlines in fast-paced settings</p>
</li>
<li><p>Excellent communication skills with a talent for building consensus and alignment</p>
</li>
<li><p>Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>Nice to haves:</b></h3><div>
<ul>
<li><p>Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)</p>
</li>
<li><p>Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.</p>
</li>
<li><p>Experience working with Celery</p>
</li>
<li><p>Experience defining and using Protobuf messages</p>
</li>
</ul><ul><li><p>Experience writing production code in Java/Kotlin</p>
</li>
<li><p>Experience building solutions on cloud infrastructure, particularly AWS</p>
</li>
<li><p>Experience working with highly sensitive data in a healthcare environment</p>
</li>
</ul></div><div>As a full-time Senior AI/ML Platform Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000-197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.<br>
<br>
Annual salary is only one part of an employee&rsquo;s total compensation package at Lyra. We also offer generous benefits that include:
<br>
<br>
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)<br>
Lyra for Lyrians; coaching and therapy services<br>
Equity in the company through discretionary restricted stock units<br>
Competitive time off with pay policies including vacation, sick days, and company holidays<br>
Paid parental leave
<br>
401K with up to 3% matching<br>
Monthly tech allowance<br>
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration&hellip;and more!
<br>
<br>
We can&rsquo;t wait to meet you.<br>
</div><div>
&quot;We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.</div>
<div></div>
<div>By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not &ldquo;sell&rdquo; or &ldquo;share&rdquo; personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.&quot;</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI/ML Platform Engineer

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader"><b>Founding Software Engineer
</b></h1><p><b>Location: </b>New York, NY (Onsite)
</p><p><b>Employment Type: </b>Full-Time | Direct Hire
</p><p><b>Compensation: </b>$200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
</p><p><b>Interview Process: </b>3 Interviews
</p><h2 class="jobSectionHeader"><b>Position Overview
</b></h2><p>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a <b>Founding Software Engineer </b>to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
</p><p>This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
</p><p>The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with <b>TypeScript </b>and <b>SQL </b>.
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader"><b>Preferred Qualifications
</b></h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader"><b>What We're Looking For
</b></h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul><p>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</p></div></div>

Founding Software Engineer

Ejam, Inc.

<div><p><b>Location</b>: Santa Ana, California &mdash; on-site<br>
<b>Employment</b> <b>type</b>: Full-time<br>
<b>Salary</b>: $120,000 &ndash; $155,000</p><p></p>
About us<p>
Created.ai is an AI-powered creative platform combining text, image and video generation into production tools for commercial creative work. The platform is operated by eJam, a multi-brand consumer products and technology company.</p><p></p><p>
We are expanding our engineering team with two appointments covering our AI platform infrastructure and our product engineering surface. Both roles carry substantial technical ownership and report directly into engineering leadership.</p><p></p><p>
This position is AI-native by design. Our engineers work with agentic coding tools as a primary part of their daily workflow, which allows a small team to operate at a scope that would conventionally require a much larger one. We are looking for engineers whose judgement, architectural thinking and review discipline scale that leverage rather than being replaced by it.</p><p></p>
Role summary<p>
We are seeking a Mid-Level Engineer to build and ship features across the created.ai product experience &mdash; from the browser client through our NestJS API to the Python AI services that power generation, and back out to how results are presented in the interface.</p><p></p><p>
You will work within an established architecture rather than defining it. A staff engineer sets the platform patterns and a senior engineer reviews your design decisions; your job is to take a well-specified problem, build it properly across the stack, and ship it to production. Over time we expect you to take on progressively larger and less-specified pieces of work.</p><p></p><p>
This suits an engineer with two to four years of production experience who is stronger than their years suggest, wants to work on generative creative tooling, and would rather ship user-facing product than maintain someone else's backlog.</p>
Key responsibilities<ul><li>
Build and ship end-to-end product features across the request path, working from specifications you help refine</li><li>
Implement asynchronous user experiences &mdash; progress states, partial failures and recovery paths &mdash; using the patterns our platform already establishes</li><li>
Consume and extend typed API contracts between the web client, NestJS services and Python AI services</li><li>
Build interface components that are consistent with our existing design and component system</li><li>
Write and maintain automated tests for the code you ship, at unit and integration level</li><li>
Take part in code review, both giving and receiving it, and act on the feedback</li><li>
Work with product colleagues to turn creative-tooling ideas into shippable scope</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Two to four years of professional software engineering experience shipping to production</li><li>
Strong React and TypeScript &mdash; you have built and maintained real components in a real codebase, and you understand the type system rather than fighting it</li><li>
Comfortable in a modern React toolchain (Next.js, Vite or comparable)</li><li>
Working knowledge of a Node.js backend framework and a relational database &mdash; you can add an endpoint, write a query and reason about the data model</li><li>
Experience with asynchronous UI: loading and error states, polling or streaming, and what to show a user when something takes thirty seconds or fails halfway</li><li>
Automated testing as a normal part of your work, in any mainstream framework</li><li>
Fluency with agentic coding tools (Claude Code, Codex, Cursor or comparable) &mdash; specifically, the judgement to review generated code critically rather than shipping it unread, and the honesty to say when you do not understand what it produced</li><li>
Able to read code confidently in a language you do not primarily write in</li></ul>
Nice to have<p>
None of the following are required. Tell us if you have any of them.</p><p></p><ul><li>
Mantine or another component library at production scale</li><li>
TanStack Query or comparable client-state tooling</li><li>
NestJS specifically</li><li>
SSE or WebSockets, including reconnection and partial-failure handling</li><li>
Playwright or another end-to-end testing framework</li><li>
File upload handling, or image and video asset pipelines</li><li>
Any Python at all &mdash; enough to read a FastAPI service and make a small change is genuinely useful here</li><li>
Canvas, timeline or media-editor work: Pixi, Fabric, Remotion, WebGL or comparable</li><li>
Exposure to MCP, tool calling or agent-driven interfaces</li></ul><p><b>
How you will grow here</b></p><p>
You will be the most junior engineer on a small, senior team, which is the fastest way to get better and also occasionally uncomfortable. You will get substantive code review from people with more experience than you, direct exposure to architectural decisions before they are made, and a defined path toward owning full vertical slices of the product. We will tell you plainly where you stand and what would move you to the next level.</p><p></p><b><br>
Benefits</b><br>
<ul><li>
Health, Dental, Vision</li><li>
401k Plan</li><li>
PTO Plan</li><li>
14 observed local holidays</li><li>
Stock options</li><li>
Amazing, pet-friendly office environment</li><li>
Equipment budget and learning allowance</li><li>
Real technical ownership within a small engineering team, and visible impact on a commercially active AI product with real users and real scale constraints</li><li>
Direct involvement in product decisions &mdash; the team is small enough that there is nowhere to hide, in both directions</li></ul></div>

Mid-Level AI Product / Creative-Tools Engineer

NVIDIA

<div><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by incredible technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. We are looking for an outstanding Senior Art Director to learn, understand, and bring to life our company story in physical and virtual event formats. Come join the team and see how you can make a lasting impact on the world!</p><p></p><p>
NVIDIA is hiring a Principal Engineer to lead three interconnected and strategic platform charters at the intersection of information security, enterprise collaboration, and AI &mdash; forming the backbone of how NVIDIA protects sensitive content, governs enterprise data access, and powers the next generation of AI agents at scale. These platforms span sensitive-information protection and DLP, a central data governance layer that controls access to enterprise content across email, messaging, document stores, and search, and an enterprise AI knowledge platform that ingests and validates content for reliable consumption by AI agents &mdash; with a consistent focus on access control fidelity, export-control enforcement, and production readiness. This is a high-impact individual contributor role with a clear path into engineering leadership and management. We are looking for a technically strong engineer who is eager to grow beyond IC execution &mdash; someone who can own platform strategy, influence cross-functional stakeholders, and eventually step into leading and growing a team. Strong cross-functional partnership across Security, Legal, Finance, and AI platform teams is essential from day one.</p><p></p><p><b>
What You Will Be Doing:</b></p><p>
Sensitive Information Protection &amp; Remediation</p><ul><li><p>
Own the roadmap for sensitive-information detection and remediation &mdash; partnering with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust.</p></li><li><p>
Lead build-vs-buy decisions and vendor evaluations to determine what to invest in internally versus augment with third-party DLP or search tools.</p></li></ul><p>
Enterprise Data Access &amp; Governance</p><ul><li><p>
Drive production rollout and self-service onboarding for the enterprise data access platform, spanning connectors across email, messaging, document stores, and search (Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean).</p></li><li><p>
Design and implement export-control enforcement and long-term audit logging &mdash; including authorization checks, schema design, data masking, retention, and RBAC controls. Evaluate third-party partners that could extend the platform for NVIDIA's customer-facing go-to-market motions.</p></li></ul><p>
Enterprise AI Knowledge Platform</p><ul><li><p>
Drive integration of enterprise content sources &mdash; document stores, wikis, and cloud drives &mdash; into the AI knowledge platform, ensuring content is accurate, fresh, and access-controlled for agent consumption.</p></li><li><p>
Define production readiness gates and maintain a clear ownership boundary: this team owns integration correctness and quality, not full platform operations.</p></li></ul><p>
Leadership &amp; Cross-functional Coordination</p><ul><li><p>
Serve as the technical lead across all three workstreams, aligning stakeholders in Security, Finance, Legal, and AI platform teams and driving clarity on ownership and priorities.</p></li><li><p>
Mentor engineers and foster a culture of documentation, runbooks, and operational rigor; demonstrate readiness to grow into an engineering management role.</p></li></ul><p></p><p><b>
What We Need To See:</b></p><ul><li><p>
Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).</p></li><li><p>
15+ years of experience building and operating large-scale enterprise platforms, with a track record of growing technical scope and influence beyond individual execution.</p></li><li><p>
Strong foundation in backend systems, distributed systems, and high-performance computing &mdash; experience with large-scale data processing, indexing pipelines, and systems designed for reliability and scale.</p></li><li><p>
Background in enterprise security, data governance, or compliance platforms &mdash; familiarity with classification, remediation workflows, access control models, and audit requirements is a plus.</p></li><li><p>
Experience building or integrating secure API platforms, data connectors, or enterprise SaaS integrations at scale (e.g., Confluence, SharePoint, Google Drive, Slack, Teams, or similar).</p></li><li><p>
Proven ability to drive cross-functional alignment across Security, Legal, Finance, and platform engineering teams.</p></li><li><p>
Excellent written and verbal communication skills; ability to translate complex technical tradeoffs into executive-level clarity.</p></li><li><p>
Demonstrated interest in growing into engineering leadership &mdash; experience mentoring peers, leading projects, or taking on informal leadership responsibilities is a strong signal.</p></li><li><p>
Comfortable holding ambiguity and driving decisions in a fast-paced, high-stakes environment.</p></li></ul><p></p><p><b>
Ways to Stand Out From The Crowd:</b></p><ul><li><p>
Experience with AI/LLM data pipelines, vector stores, or RAG architectures &mdash; particularly in connecting enterprise content sources to AI platforms with strict access controls.</p></li><li><p>
Hands-on experience with Databricks or similar platforms for audit logging, data governance, and RBAC. Familiarity with Glean or similar enterprise search/DLP products and their integration patterns.</p></li><li><p>
Experience with vendor evaluation and build-vs-buy decisions for enterprise security or content platforms.</p></li><li><p>
Ability to leverage AI and agentic automation to drive operational efficiency and reduce engineering toil.</p></li><li><p>
Track record of leading platform migrations, tenant consolidations, or governance modernization efforts.</p></li></ul><p></p><p>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 391,000 USD.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until July 28, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Principal Engineer - Enterprise Content and AI Data Platform

<div><p>NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.</p><p></p><p>
Are you a software developer, deep learning engineer, or scientist excited to collaborate with developers? NVIDIA is looking for a Technical Marketing Engineer (TME) to communicate the latest advancements in our AI Platform Software to the developer and user community. The AI Platform Software team manages the complete high-performance AI software stack: core kernel and communication libraries such as cuDNN and NCCL, open training platforms like PyTorch, and Megatron, and accelerated inference platforms such as TensorRT-LLM and Dynamo. This role works closely with product, engineering, and marketing teams to develop key technical content that guides developers how to use NVIDIA's AI platforms. Examples include technical blog posts, user guides, walk-throughs, demonstrations, benchmarks, and more. We seek a candidate who has trained a model, optimized an inference server, or debugged a multi-GPU job&mdash;and who is eager to share their expertise with others. You will review the stack before release and often be the first outside the engineering team to fully understand it. You'll be part of a collaborative group of TMEs, product managers, and developer advocates committed to delivering the best AI software platform for our developer community.</p><p></p><p><b>
What you'll be doing:</b></p><ul><li><p>
Investigating new training and inference features while assessing them from a developer's point of view. Writing blog posts, guides, and reference examples that developers can use.</p></li><li><p>
Collaborating with internal and external deep learning engineers and researchers to build product-based training material and how-to technical content.</p></li><li><p>
Being the champion for AI among NVIDIA developers by directly engaging with our developer community.</p></li><li><p>
Improving product documentation to be clear for developers and their agents.</p></li><li><p>
Growing the value of our software by bringing community and customer feedback back to our product and engineering teams.</p></li><li><p>
Providing guidance to deep learning developers by building code samples and proof of concept applications.</p></li><li><p>
Benchmarking and generating data for positioning NVIDIA's inference platforms as the lowest cost-per-watt.</p></li></ul><p></p><p><b>
What We Need to See:</b></p><ul><li><p>
Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience.</p></li><li><p>
4+ years of practical experience in deep learning or machine learning, including research conducted during undergraduate and graduate studies.</p></li><li><p>
Hands-on experience with at least one training or inference framework such as PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, SGLang, or comparable tools.</p></li><li><p>
Solid understanding of Python or C/C++, programming techniques, and software development.</p></li><li><p>
Something you have written or built for a technical audience that we can engage with: a blog post, tutorial, documentation set, conference talk, thesis chapter, or public repository.</p></li><li><p>
Passion for presenting to technical audiences and crafting content for developers.</p></li><li><p>
Prior success in balancing multiple projects at a time.</p></li></ul><p></p><p><b>
Ways to Stand Out from the Crowd:</b></p><ul><li><p>
Advanced knowledge of modern LLM and AI software architecture: attention kernels, parallelism strategies, quantization, KV cache management, and request scheduling.</p></li><li><p>
Sustained contributions to publicly accessible AI projects or developer forums.</p></li><li><p>
Experience running, tuning, or interpreting benchmarks on multi-GPU systems.</p></li><li><p>
Experience explaining a system you did not build to people who need to use it tomorrow.</p></li></ul><p></p><p>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</p><p></p><p>
#LI-Hybrid</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until August 3, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Technical Marketing Engineer - AI Platform Software

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