ai systems engineer

Printerpix

<div><div>Printerpix is a rapidly expanding e-commerce leader in online photo printing and personalized gifting. We're growing our team aggressively as we launch into new markets and marketing channels across the globe. This is a unique opportunity to join a high-velocity environment where you'll quickly gain significant responsibility and accelerate your career. At Printerpix, we help people celebrate life's most cherished moments, from custom blankets to personalized photo books, bringing joy through every creation.<br>
</div><div><b>
Role Summary:</b></div><div>
We&rsquo;re looking for an ambitious AI Agent Systems Engineer to join our elite squad of builders. This isn't a role for someone who just wants to write scripts; it&rsquo;s for a foundational expert ready to design and deploy intelligent, autonomous agents that drive real-world e-commerce actions. You&rsquo;ll work in a high-intensity, AI-native environment where shipping fast and building for reliability are the top priorities.<br>
</div><div><b>
What You&rsquo;ll Build:</b></div><ul><li>
As our AI Agent Systems Engineer, you will move beyond simple chat interfaces to build agents that execute:</li><li>
Autonomous E-commerce Workflows: Architect agents that dont just answer questions, but use toolsets to modify orders, resolve complex logistics issues, and interact directly with our core APIs.</li><li>
High-Velocity Marketing Agents: Develop intelligent systems to autonomously manage and optimize digital advertising spend, adjusting bids and creative targeting based on real-time performance.</li><li>
Agentic Personalization: Implement frameworks that reason through customer behavior and real-time event data to suggest deeply personalized gifting experiences.</li><li>
Foundational AI Orchestration: Work with the team to establish robust agentic infrastructure, ensuring multi-step workflows are scalable, observable, and high-performing.</li></ul><div><br>
<b>
Who You Are:</b></div><ul><li>
A High-Velocity Python Developer: You write clean, production-grade Python. You aren't just a coder; you're a system designer who understands how AI fits into a larger architecture.</li><li>
Continuous Learner &amp; AI-Native: You are always following new developments in the AI space (models, frameworks, research) to understand how to leverage the latest tech to ship 10x faster. You are likely a power user of Cursor and Claude Code.</li><li>
Agent Architect: You have a strong grasp of frameworks like LangGraph, CrewAI, or LangChain. You understand how to build multi-agent systems that can reason, act, and iterate through complex tasks.</li><li>
Ambitious &amp; Competitive: You want to be surrounded by other young, hungry engineers. You thrive in an environment where your skills are constantly pushed by your peers and the cutting-edge tech you use.</li><li>
Outcome Obsessed: You understand that &quot;demo-grade&quot; isn't enough. You care about prompt engineering, guardrails, and building agents that perform consistently in a production environment.</li></ul><div></div><div><b><br>
The Tech Stack &amp; Tools:</b></div><ul><li>
Languages: Python (Clean, efficient, scalable).</li><li>
Orchestration: LangGraph, CrewAI, LangChain.</li><li>
Development: Cursor, Claude Code, GitHub Copilot.</li><li>
Deployment: Docker, Railway, Vercel, and modern CI/CD pipelines.</li></ul><div></div><div><b><br>
Why This Role?</b></div><ul><li>
Elite Peer Group: Join a team of ambitious engineers using the world&rsquo;s most advanced AI tools to solve complex problems. You&rsquo;ll learn as much as you contribute.</li><li>
Total Ownership: From day one, you own your projects. You&rsquo;ll define the strategy and architecture for AI agents that reach millions of customers globally.</li><li>
Accelerated Career Path: This is a &quot;ground floor&quot; opportunity. In a high-growth environment like Printerpix, your impact is visible, rewarded, and directly tied to the company&rsquo;s global expansion.</li></ul></div><div></div>

AI Agent Systems Engineer

<div><div><b>About Printerpix:</b><br>
</div><div>
Printerpix is a fast-growing e-commerce innovator, revolutionizing the online photo printing and personalized gifting sector. We believe in celebrating life's milestones and everyday joys, from custom photo blankets to cherished photobooks. As we rapidly expand into new marketing channels and global markets, our team is growing exponentially. This is your chance to join a dynamic, results-driven organization where your contributions directly impact millions of customers worldwide, offering unparalleled opportunities to take on significant responsibility and accelerate your career trajectory.</div><div><br>
<b>
Role Summary:</b><br>
</div><div>
As our Mid-Level AI Agent Systems Engineer, you will be instrumental in designing, building, and deploying autonomous AI agents that transform our e-commerce operations. This isn't about wrapping LLM APIs; you'll be engineering intelligent systems that execute complex workflows, becoming true AI teammates within Printerpix, directly impacting customer experience and operational efficiency.</div><div><br>
<b>
What You'll Build:</b><br>
</div><div>
You'll be at the forefront of architecting and deploying production-grade AI agents that operate across our e-commerce platforms, internal tools, and customer touchpoints. This includes, but is not limited to:<br>
</div><ul><li><b>
Autonomous E-commerce Workflows: </b>Developing agents that manage personalized product recommendations, automate order processing, handle complex customer service inquiries beyond simple chatbots, and orchestrate dynamic marketing campaigns.</li><li><b>
Internal Operational Automation: </b>Building agents that streamline supply chain logistics, optimize inventory management, and automate content creation or design variations for our personalized products.</li><li><b>
Intelligent Data Agents:</b> Crafting systems that interact with various databases and APIs to gather, analyze, and act upon insights, providing real-time intelligence for business decisions.</li><li><b>
Production-Grade Agentic Systems: </b>Focusing on agent autonomy, reliability, and security, ensuring these agents can perform sophisticated, multi-step tasks across diverse enterprise systems and external APIs.</li></ul><div><br>
<b>
Your First 90 Days:</b></div><ul><li><b>
Week 1: </b>Immerse yourself in Printerpix's core e-commerce platform and existing data infrastructure. Meet the broader engineering, marketing, and operations teams to understand key pain points and opportunities for AI agent intervention. Set up your development environment.</li><li><b>
Month 1: </b>Identify a high-impact internal workflow that can be partially or fully automated by an AI agent. You'll design the architecture for this pilot agent, demonstrating an initial proof-of-concept. Begin collaborating with stakeholders to refine requirements and integrate initial data sources.</li><li><b>
Month 3:</b> Deploy your first production-grade internal AI agent, demonstrating measurable improvements (e.g., reduced manual effort, improved response times, increased data accuracy). Present your findings to leadership and outline the roadmap for scaling this agent and initiating development on a customer-facing agent.</li></ul><div><br>
<b>
What We're Looking For:</b></div><ul><li><b>
Professional Experience:</b> 2-5 years of hands-on experience in software engineering, machine learning, or AI systems development, with a specific focus on agentic systems or complex AI integrations.</li><li><b>
Python Proficiency:</b> Expert-level proficiency in Python, utilized for building robust, scalable AI agent systems, orchestrating complex workflows, and developing efficient data pipelines.</li><li><b>
LLM Architectures &amp; Prompt Engineering:</b> Deep theoretical and practical understanding of Large Language Model (LLM) architectures. Proven ability to apply advanced prompt engineering techniques, including few-shot learning, chain-of-thought prompting, and self-correction mechanisms, to maximize agent performance and reliability.</li><li><b>
System Design &amp; Distributed Systems:</b> Demonstrated capability to design, architect, and implement end-to-end agentic systems, ensuring high availability, fault tolerance, and scalability in a distributed environment, handling thousands of concurrent interactions.</li><li><b>
Machine Learning Fundamentals: </b>Solid grasp of core machine learning principles, enabling you to integrate custom ML models, fine-tune existing ones, and evaluate agent performance effectively.</li><li><b>
RESTful APIs:</b> Strong experience in designing, building, and consuming RESTful APIs, facilitating seamless integration of AI agents with our e-commerce platforms, internal services, and third-party tools.</li><li><b>
AWS Expertise:</b> Hands-on experience with key AWS services (e.g., EC2, Lambda, S3, RDS, EKS, SageMaker) for deploying, monitoring, and managing secure, high-performance AI agent infrastructure.</li><li><b>
Agent Orchestration Frameworks:</b> Practical expertise with AI orchestration frameworks like LangChain (or similar, such as LlamaIndex or CrewAI) for constructing and managing complex, multi-step agentic workflows and tooling.</li><li><b>
Retrieval Augmented Generation (RAG):</b> Proven experience implementing and optimizing RAG pipelines to ground AI agents with proprietary e-commerce data, ensuring accurate, context-aware, and up-to-date responses.</li><li><b>
FastAPI Development:</b> Proficient in developing high-performance, asynchronous API services using FastAPI to serve agent endpoints and integrate with front-end applications or other microservices.</li></ul><div><br>
<b>
Nice-to-Have:</b></div><ul><li><b>
MLOps Practices: </b>Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow) for managing the complete lifecycle of AI agents, from experimentation to production deployment and monitoring.</li><li><b>
Vector Databases:</b> Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) for efficient semantic search and retrieval in RAG architectures.</li><li><b>
Container Orchestration:</b> Experience with Kubernetes for orchestrating and managing containerized AI agent deployments at scale.</li><li><b>
Streaming Platforms:</b> Exposure to real-time data streaming platforms like Kafka for building event-driven agent architectures and processing high volumes of data.</li><li><b>
Reinforcement Learning: </b>Understanding of reinforcement learning concepts or their application in optimizing agent behavior and decision-making over time.</li></ul><div><br>
<b>
Why This Role:</b></div><div><br>
This is a unique opportunity for a Mid-Level AI Agent Systems Engineer to define and build the future of AI within a rapidly expanding e-commerce brand. You won't be a cog in a large machine; you'll be a foundational engineer shaping how AI agents are architected, orchestrated, and trusted across our global operations, impacting millions of customers. You'll gain unparalleled ownership, directly influencing technology choices and strategic direction for AI at Printerpix. The scope for rapid career acceleration into senior leadership and the chance to build a truly impactful portfolio of agentic systems from the ground up far exceeds typical mid-level roles. If you're looking to move beyond theoretical AI to deploying real-world agents that drive tangible business outcomes, this is your chance to shine.</div></div>

AI Agent Systems Engineer - Mid Level

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Workshop Studio (WS) is an AWS platform that powers hands-on technical learning and product experiences for hundreds of thousands of current and potential AWS customers. WS is transitioning to an AI-native architecture with agentic systems that will discover content, guide participants in real time, automate quality review, and generate post-event intelligence. The platform provisions isolated AWS accounts, deploys infrastructure, manages participant access, security controls and handles automated cleanup end to end for 300+ AWS services. WS directly influences sales opportunities by boosting deal win rates. In 2027+, we are transforming Workshop Studio from a catalog and provisioning engine into an intelligent, self-improving learning and product experience platform. The Catalog &amp; Events team is building the AI and platform infrastructure to make that happen.
<br>
<br>
The Catalog &amp; Events team owns the two services at the center of this platform: the Content Catalog Service (workshop authoring, quality validation, review workflows and publishing) and the Events Service (event creation, scheduled provisioning, infrastructure deployment, and participant lifecycle management). Every workshop, hackathon, AWS GameDay and self-service demo flows through the systems this team builds and operates.
<br>
<br>
We are hiring a Senior Software Development Engineer to drive the technical direction of these services during a period of significant platform expansion. In 2027+, Workshop Studio is evolving from an internal enablement tool into a managed sandbox engine powering product experiences across AWS starting with AWS Marketplace and Amazon Builder Center. An AWS partner pilot proved the model in 2025. We are scaling from a controlled pilot of demo-enabled products to wider adoption, enabling partners to self-author content and building integration APIs for other consumers of sandbox environments on demand. You will also build agentic AI systems that transform how content is discovered, delivered, reviewed and followed up on. And you will own the operational health of these systems in production, including on-call, incident response, and operational reviews.
<br>
<br>
Key job responsibilities<br>
Agentic AI Systems: Build AI-powered capabilities on Amazon Bedrock AgentCore such as content discovery, adaptive participant guidance, automated session summaries with lead scoring, agent-assisted authoring, and simulated participant playthroughs for content validation.<br>
<br>
Multi-Tenant Platform &amp; Integration APIs: Design multi-tenant content management with per-partner isolation, access controls, and lifecycle tooling. Build integration APIs that let Marketplace and Builder Center provision sandbox environments on demand.<br>
<br>
Authentication &amp; Authorization: Evolve the auth architecture across multiple identity providers (Federate, Gandalf/Builder ID, Cognito, STS) to support partner authentication, scoped permissions for external users, and cross-tenant content sharing.<br>
<br>
Technical Leadership &amp; Operational Excellence: Lead design reviews, mentor a team of backend and frontend engineers and produce architectural documents that shape multi-year decisions. Own production health through on-call rotations, incident response, retrospective reviews and runbook maintenance.<br>
<br>
A day in the life<br>
On any given day, you might lead a cross-team API design review with the product manager, engineering manager, UX designer and engineers from partner AWS teams. You pair with engineers on database access patterns for the multi-tenant content store. You prototype an AI feature that generates post-event session summaries from platform telemetry. You sync with the program manager on cross-team dependencies and align with the team manager on sprint priorities. The work spans platform architecture, agentic AI development, mentorship, and cross-functional collaboration.<br>
<br>
About the team<br>
Catalog &amp; Events is one of three engineering teams within Workshop Studio, alongside the Accounts team (managed AWS account fleet and cleanup) and the Holmes team (content scanning and quality enforcement across AWS). We own React web apps, CDK infrastructure, Go and Python Lambdas, Step Functions workflows, DynamoDB data stores, git repositories for content, and an analytics layer tracking event delivery, content usage, and business impact. The team includes an engineering manager, product manager, several backend engineers and a front-end engineer, with shared access to a UX designer, technical program manager, business intelligence engineer and senior engineers including a principal engineer.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Knowledge of machine learning model architecture and inference</li><li>5+ years of highly scalable systems experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NJ, Jersey City - 184,900.00 - 250,200.00 USD annually<br>
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Development Engineer, Workshop Studio, Catalog & Events

HumanSignal

<div>
 <strong>
  The future of AI &mdash; whether in training or evaluation, classical ML or agentic workflows &mdash; starts with high-quality data.
  <br/>
  <br/>
 </strong>
 At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
 <br/>
 <br/>
 Our open-source product,
 <strong>
  Label Studio
 </strong>
 , has become the
 <strong>
  de facto standard
 </strong>
 for labeling and evaluating data across modalities &mdash; from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
 <br/>
 <br/>
 <strong>
  Label Studio Enterprise
 </strong>
 builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines &mdash; powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems &mdash; we'd love to talk.
 <br/>
 <br/>
 <strong>
  About the Role
  <br/>
  <br/>
 </strong>
 We're looking for an ambitious AI Engineer to
 <strong>
  transform how our go-to-market team operates
 </strong>
 . San Francisco, Austin, or Lisbon are preferred locations where you can collaborate with team members, but the position is remote or hybrid.
 <br/>
 <br/>
 As the founding GTM engineer, you will architect and build the AI-powered systems that power our entire GTM motion, owning the technology stack, partnering with stakeholders to define the workflows, deploying AI agents and apps, and continuously improving how the company acquires, activates, and grows customers.
 <br/>
 <br/>
 This is a highly hands-on role for someone who enjoys
 <strong>
  shipping systems, experimenting rapidly, and solving messy real-world problems with software.
  <br/>
  <br/>
 </strong>
 <strong>
  Why This Role Matters
  <br/>
  <br/>
 </strong>
 This role is a force multiplier for the entire company. You'll build the infrastructure that allows the GTM team to
 <strong>
  move faster, learn faster, and scale without proportional headcount.
 </strong>
 You'll help us:
 <br/>
 <br/>
 <ul>
  <li>
   Turn GTM from a set of tools into a cohesive, intelligent system
  </li>
  <li>
   Scale workflows without scaling headcount
  </li>
  <li>
   Improve signal quality and timing for marketing and sales
  </li>
  <li>
   Increase learning velocity across the entire funnel
  </li>
  <li>
   Shape how an open-source, bottom-up product grows into enterprise adoption
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Build &amp; Automate the foundational GTM AI stack
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation
  </li>
  <li>
   Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services
  </li>
  <li>
   Build internal tools and lightweight services that accelerate GTM teams
  </li>
  <li>
   Replace manual workflows with scalable, automated systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI-Powered Systems &amp; Agents
  <br/>
  <br/>
 </strong>
 Design and deploy
 <strong>
  AI-driven workflows and agents
 </strong>
 that augment GTM teams.
 <br/>
 <br/>
 Examples include:
 <br/>
 <br/>
 <ul>
  <li>
   Lead qualification, inbound lead routing, and enrichment
  </li>
  <li>
   Personalized lifecycle marketing and outbound messaging
  </li>
  <li>
   Sales assist tools for deal intelligence and account research
  </li>
  <li>
   Automated account insights, pipeline analysis, and deal lifecycle management
  </li>
  <li>
   User onboarding, activation, and expansion signals
   <br/>
   <br/>
  </li>
 </ul>
 You'll continuously improve these systems using
 <strong>
  real performance data and feedback loops.
  <br/>
  <br/>
 </strong>
 <strong>
  Growth: PLG + Sales-Assisted Motion
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers
  </li>
  <li>
   Partner with Data &amp; Growth to build systems that surface product signals (usage, intent, readiness) to marketing and sales teams at the right time
  </li>
  <li>
   Partner closely with Product &amp; Marketing to turn usage insights into GTM leverage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimentation &amp; Learning
  <br/>
  <br/>
 </strong>
 Build the infrastructure that allows the GTM team to
 <strong>
  learn quickly and iterate with confidence.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and run experiments across acquisition, activation, conversion, and expansion
  </li>
  <li>
   Build experimentation frameworks (feature flags, A/B testing, measurement systems)
  </li>
  <li>
   Instrument systems to capture reliable data and insights
  </li>
  <li>
   Rapidly iterate based on results, not assumptions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Feedback Loops &amp; Continuous Improvement
  <br/>
  <br/>
 </strong>
 Create tight feedback loops between users, product signals, and GTM actions.
 <br/>
 <br/>
 <ul>
  <li>
   Partner with head of , accessible, and actionable across teams
  </li>
  <li>
   Turn qualitative and quantitative insights into system improvements
  </li>
  <li>
   Continuously optimize workflows, models, and automation based on real outcomes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Core Skills
  <br/>
  <br/>
 </strong>
 This is fundamentally an
 <strong>
  engineering role
 </strong>
 , not traditional GTM operations. We're looking for someone who enjoys
 <strong>
  building systems, not managing tools.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong engineering background (software, data, or growth engineering)
  </li>
  <li>
   Comfortable shipping production code (APIs, services, scripts, internal tools)
  </li>
  <li>
   Experience working with data pipelines, analytics, and experimentation frameworks
  </li>
  <li>
   Hands-on experience with AI/LLMs, prompt engineering, or agent-based systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to work cross-functionally with Product, Engineering, Marketing and Sales
  </li>
  <li>
   Comfortable operating with ambiguity and defining the problem as you go
  </li>
  <li>
   Strong communicator who can translate between technical and GTM stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with open-source or developer-focused products
  </li>
  <li>
   Familiarity with CRM systems (e.g., Salesforce, HubSpot), CDPs, and marketing automation
  </li>
  <li>
   Experience building internal tools for sales or marketing teams
  </li>
  <li>
   Prior work in B2B SaaS, data, or AI-first companies
  </li>
 </ul>
</div>


AI Engineer (GTM)

<div><div>At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.</div><div><br>
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.</div><div></div><div>
Job Title: Software Engineer III &ndash; AI Security &amp; Intelligent Systems</div><div>
Role Overview<br>
We&rsquo;re looking for a talented mid-level engineer to design, build, and enhance tooling and intelligent systems that support safe, resilient AI workflows. You&rsquo;ll contribute to platforms that empower teams to embed safe logic, enforce secure behavior, and maintain operational quality across distributed systems using advanced chunking, agent orchestration, and trustworthy code pipelines. You will work with engineers across product, security, and infrastructure to deliver solutions that raise the bar on reliability and safety in intelligent software delivery.</div><div>
What You&rsquo;ll Do</div><ul><li>Design and implement components for AI-enhanced tooling that monitors, evaluates, and improves software behavior with an emphasis on safety and resilience across distributed systems.</li><li>Build and maintain systems that leverage semantic chunking, language model agents, and automated reasoning to support developer workflows with contextual awareness and guidance.</li><li>Collaborate with cross-functional teams &mdash; product, security, SRE &mdash; to translate high-level needs into technical designs and robust implementations.</li><li>Contribute to safe AI practices by defining interfaces and logic that help prevent and detect unsafe code constructs or misconfigurations without relying on simple pattern matching.</li><li>Partner with DevOps and CI/CD engineers to integrate quality feedback loops, instrumentation, and runtime guards into build, deploy, and release pipelines.</li><li>Participate in design reviews, code reviews, and retrospectives that drive continuous improvement of our AI-infused systems.</li><li>Investigate issues in distributed environments, propose solutions, and deliver fixes that enhance maintainability, performance, and safety.</li><li>Help define best practices for code health, observability, and monitoring in intelligent pipelines.</li></ul><div>
Who You Are</div><ul><li>5&ndash;8 years of software engineering experience with a solid foundation in languages such as Python, Go, or TypeScript.</li><li>Strong understanding of distributed system design, asynchronous workflows, and microservices architectures.</li><li>Experience or strong interest in AI/ML concepts, especially in applying models to assist developer tooling or runtime analysis.</li><li>Familiarity with modern cloud environments (AWS, GCP, Azure) and container orchestration (e.g., Kubernetes).</li><li>Comfortable working with APIs, message buses, and streaming data (e.g., Kafka, Pub/Sub).</li><li>Practical knowledge of secure development practices, runtime policy enforcement, and defensible system design without being limited to &ldquo;scan and flag&rdquo; strategies.</li><li>Experience integrating or building systems that use semantic chunking or structural representations of code/data is a plus.</li><li>Excellent collaborator who communicates clearly and contributes to team success.</li></ul><div>
Nice to Have</div><ul><li>Hands-on experience with LLMs, agent frameworks, or developing smart assistants that operate in software contexts.</li><li>Background in building developer productivity tools or platform services.</li><li>Understanding of formal methods, symbolic analysis, or safety-constrained execution environments.</li><li>Experience with observability tooling (metrics, logs, traces) and runtime dashboards that support operator understanding.</li></ul><div></div><div>
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.</div><div></div><div>
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).</div><div></div><div>
Equal Employment Opportunity</div><div></div><div>
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting <div>accommodations@f5.com</div>.</div></div>

Software Engineer III

Capital One

<div>Senior Lead AI Engineer<p></p><p><b>
Overview:</b></p><p></p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p></p><p><b>
Team Description:</b></p><p></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p><b><br>
In this role, you will:</b></p><p></p><ul><li><p>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</p></li></ul><p></p><ul><li><p>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</p></li></ul><p></p><ul><li><p>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</p></li></ul><p></p><ul><li><p>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</p></li></ul><p></p><ul><li><p>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</p></li></ul><p></p><p><b>
The Ideal Candidate:</b></p><p></p><ul><li><p>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</p></li></ul><p></p><ul><li><p>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</p></li></ul><p></p><ul><li><p>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</p></li></ul><p></p><ul><li><p>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</p></li></ul><p></p><ul><li><p>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><p></p><ul><li><p>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</p></li><li><p>
At least 6 years of experience programming with Python, Go, Scala, or Java</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</p></li><li><p>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</p></li><li><p>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</p></li><li><p>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</p></li><li><p>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</p></li><li><p>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</p></li><li><p>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</p></li></ul><p></p><p><i><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Senior Lead AI Engineer

Fortinet

<div><p>We&rsquo;re a cybersecurity company building a next-generation AI-driven operations platform, designed to power complex, high-stakes workflows. The product integrates generative AI deeply into real-time operational environments&mdash;combining reasoning, retrieval, and automation into scalable, trustworthy systems.
</p><p>We&rsquo;re looking for an Applied AI Engineer with strong backend and AI experience who can architect, build, and scale secure, performant systems. You&rsquo;ll work closely with product, AI/ML, and design teams to deliver capabilities that drive investigation speed, streamline operations, and unlock new modes of human-AI collaboration.
</p><p>KEY RESPONSIBILITIES
 </p><p>Development
</p><ul><li>Architect and implement scalable AI agent and backend systems for high-volume, real-time operational workloads.
</li><li>Integrate LLMs and GenAI components into production workflows, including fine-tuning, prompt orchestration, retrieval pipelines, and evaluation loops.
</li><li>Design and implement robust data flows (e.g., event streams, message queues, job orchestration) to support next-gen SOC/NOC capabilities.
</li><li>Define clear contracts between AI services, backend APIs, and frontend clients.
</li><li>Contribute to trustworthy AI delivery: streaming responses with structured outputs, redaction/guardrails, and human-in-the-loop review.
</li></ul><p>Collaboration
</p><ul><li>Partner with backend team to build data pipeline.
</li><li>Collaborate with design and frontend engineers to translate complex backend/AI systems into intuitive UIs.
</li><li>Lead technical reviews, and help shape coding standards and architectural patterns.
</li><li>Communicate clearly with both technical and non-technical stakeholders about trade-offs, performance, and reliability.
</li></ul><p>REQUIRED QUALIFICATIONS
 </p><p>Experience
 </p><ul><li>Proven track record shipping data-intensive and AI-enhanced applications.
</li></ul><p>Technical Skills
</p><p>Core Backend &amp; Platform
</p><ul><li>Proficiency with at least one modern backend runtime/language (e.g., Python, Go) and associated frameworks.
</li><li>Strong background in designing APIs (REST/WebSocket/GraphQL) and integrating with real-time/event-driven systems.
</li><li>Deep understanding of databases and storage paradigms (e.g., Postgres, graph DBs, time-series stores).
</li><li>Experience with authentication/authorization, session management, and enterprise integrations.
</li><li>Familiarity with distributed systems, scalability, and observability best practices.
</li></ul><p>AI/ML Integration
</p><ul><li>Hands-on experience building or integrating AI systems in production.
</li><li>Familiarity with multi-agent, retrieval-augmented generation (RAG), prompt engineering, evaluation, and guardrails.
</li><li>Exposure to model fine-tuning workflows or orchestration frameworks for multi-tool AI agents.
</li></ul><p>Communication &amp; Soft Skills
</p><ul><li>Strong problem-solving skills and attention to detail.
</li><li>Excellent written and verbal communication.
</li><li>Comfortable operating in fast-moving, ambiguous contexts.
</li><li>Experience working with distributed teams.
</li></ul><p>WHAT WE OFFER
</p><ul><li>Opportunity to shape the future of AI-assisted cybersecurity and operations at scale.
</li><li>End-to-end ownership of high-impact product surfaces used daily by enterprise customers.
</li><li>Collaborative environment with experienced engineers, researchers, and designers.
</li><li>Continuous learning in AI/ML, distributed systems, and modern web technologies.
</li><li>Terrific benefits and competitive compensation.
</li></ul><p>The US Hourly Pay Range for this temporary position (Summer Internship) is $35-45 USD. Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
</p><p>Why Join Us:
<br>
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.</p></div>

Applied AI Engineer (Internship)

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