intelligent systems engineer

<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

Software Engineer III – AI Security

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

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2>
As a <b>Distinguished AI/ML Engineer</b> within <b>Walmart Global Tech&rsquo;s Reliability Engineering Organization</b>, you will lead the technical development of next-generation agentic AI systems and intelligent automation solutions that ensure mission-critical reliability, scalability, and operational excellence across Walmart&rsquo;s entire technology ecosystem. You will architect and implement cutting-edge machine learning platforms and autonomous agents that transform how we manage change and performance, monitor, predict, and automatically resolve issues across all Walmart systems, supporting millions of associates and customers globally. Walmart Global Tech&rsquo;s <b>Reliability Engineering Organization</b> is built with hybrid systems and software engineers who take technical ownership for change engineering, change management, performance engineering, reliability, scalability, automation, and mission-critical issues related to uptime, availability, and rapid continuous improvement across Walmart&rsquo;s e-commerce, stores, and omni-channel platforms. As a technical expert in this domain, you will drive the evolution of practices into AI-powered, self-healing, and autonomous systems built on modern technology stacks with intelligent change management and predictive performance optimization. You will also define and implement unified, intelligent, and operationally robust technical solutions and tools for Walmart Technology organizations across all channels and geographies.
<div></div><b>About the Team</b> The <b>Reliability Engineering Organization</b> at Walmart Global Tech is responsible for ensuring the reliability, availability, and performance of all systems that power the world&rsquo;s largest retailer. As a Fortune #1 company, our work impacts hundreds of millions of customers and associates globally&mdash;across every transaction, search, and interaction spanning Walmart&rsquo;s digital and physical ecosystem. We are the guardians of system reliability for Walmart&rsquo;s e-commerce platform, supply chain systems, in-store technology, financial services, and all critical business operations. Our Reliability Engineering organization is at the forefront of applying advanced AI/ML technologies to reliability challenges, building autonomous systems that can predict, prevent, and resolve issues before they impact customers or business operations. Reliability Engineering is a core engineering discipline within Walmart Global Tech, working closely with all product and engineering teams across the enterprise to ensure every system meets the highest standards of reliability, scalability, and performance. We are deeply invested in building a robust, intelligent, and highly automated technology foundation that supports Walmart&rsquo;s mission to help people live better through innovation and operational excellence.
<div></div><b>What You&rsquo;ll Do</b> <b>AI/ML &amp; Agentic Systems Technical Leadership</b>
<ul><li>Architect and develop advanced <b>agentic AI systems</b> that autonomously manage complex reliability engineering workflows, predictive failure analysis, and self-optimization across Walmart&rsquo;s technology ecosystem.</li><li>
Design and implement <b>multi-agent orchestration platforms</b> that coordinate autonomous agents for change management, capacity planning, and performance optimization across e-commerce, supply chain, and in-store systems.</li><li>
Build intelligent observability and monitoring platforms using <b>ML-driven anomaly detection, predictive analytics, and autonomous resolution</b> across Walmart&rsquo;s entire technology landscape.</li><li>
Develop <b>self-healing infrastructure platforms</b> that leverage AI to predict, prevent, and automatically remediate system issues before they impact customers, associates, or business operations.</li></ul><div></div>
<b>Reliability Engineering Technical Excellence</b>
<ul><li>Design, write, and build advanced tools to improve latency, availability, scalability and change management across Walmart Technology systems, including: Engineering reliability using metrics and measurements across all domains Enabling system scaling through technical solutions, automation, and process optimization Building tools and automation to prevent recurrence of failures across mission-critical services Enhancing instrumentation to create a cohesive, end-to-end view of system health with particular focus on failure points
</li><li>Architect and implement fault-tolerant systems and services across Walmart&rsquo;s hybrid cloud infrastructure with emphasis on autonomous recovery and intelligent failure prediction.</li><li>
Collaborate with engineering teams and leadership to reduce <b>mean time to detect (MTTD)</b> and <b>mean time to restore (MTTR) </b>through intelligent automation and predictive capabilities.</li><li>
Partner with service owners across e-commerce, supply chain, stores, fintech, and other domains to define SLA breach detection and change related anomalies, ensuring systems meet SLAs while maintaining optimal performance and user experience.</li><li>
Perform complex troubleshooting and analysis of large-scale distributed systems using deep expertise in coding, algorithms, and distributed systems design.</li></ul><div></div>
<b>Strategic Technical Innovation</b>
<ul><li>Partner with engineering organizations across E-commerce, Supply Chain, Store Technology, Fintech, and Data Platforms to deliver <b>autonomous reliability solutions</b> using advanced machine learning, natural language processing, and computer vision.</li><li>
Drive development of <b>MLOps and AIOps platforms</b> that enable continuous learning, deployment, monitoring, and autonomous optimization of reliability systems.</li><li>
Innovate in <b>agentic AI technologies for Reliability Engineering</b>, including:<ul><li>
Large language models for automated incident response</li><li>
Reinforcement learning agents for capacity optimization</li><li>
Multi-modal AI for infrastructure monitoring</li><li>
Federated learning for cross-domain reliability insights</li></ul></li><li>
Implement advanced CI/CD pipelines for reliability platforms with automated validation, deployment, rollback, and built-in observability.</li><li>
Establish platform engineering excellence by building reusable reliability infrastructure, intelligent monitoring platforms, and developer productivity tools.</li><li>
Provide technical mentorship and thought leadership across Walmart Technology through code reviews, design discussions, and knowledge sharing.</li></ul><div></div>
<b>What You&rsquo;ll Bring</b> <b>Education &amp; Experience</b>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, or a related field with <b>12+ years of hands-on experience</b> in Reliability Engineering, AI/ML Engineering, or Platform Engineering.</li><li>
Proven record as a senior individual contributor influencing architecture and driving technical excellence across large organizations.</li><li>
Deep experience operating <b>mission-critical systems</b>, with expertise in MTTD, MTTR, availability, change management, model performance, and autonomous system reliability.</li></ul><div></div>
<b>Must-Have Technical Experience</b>
<ul><li>Expert-level <b>AI/ML engineering</b> experience, including deep learning frameworks such as TensorFlow and PyTorch and large-scale production ML deployments.</li><li>
Advanced experience with <b>agentic AI systems</b>, including multi-agent frameworks, autonomous decision-making systems, LLM-based agents, and agent orchestration platforms.</li><li>
Comprehensive <b>Reliability Engineering expertise</b>, including service management (Incident, Problem, and Change Management) and performance and capacity engineering for AI/ML systems.</li><li>
Expert-level <b>cloud engineering experience</b> (Azure, GCP, AWS) with containerization (Kubernetes, Docker), serverless architectures, and cloud-native AI services.</li><li>
Deep observability experience across distributed tracing, metrics, logs, APM, and AI-driven anomaly detection.</li><li>
Strong platform engineering background including infrastructure as code, service mesh architectures, API gateways, and self-service developer platforms.</li></ul><div></div>
<b>Preferred Technical Experience</b>
<ul><li>MLOps and model lifecycle management using platforms such as MLflow, Kubeflow, or Seldon.</li><li>
NLP and computer vision expertise for intelligent log analysis, automated incident response, and visual infrastructure monitoring.</li><li>
Edge computing and distributed systems experience for retail stores and distribution centers.</li><li>
Real-time streaming architectures (Kafka, Pulsar).</li><li>
Chaos engineering, fault injection, and performance optimization for large-scale distributed systems.</li><li>
Open-source contributions in reliability, observability, or infrastructure automation.</li></ul>
<br>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
ㅤ</p><p></p><p>
ㅤ</p><p>
ㅤ</p><p>
ㅤ</p><p></p><p>
&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years&rsquo; experience in software engineering or related area.<br>
Option 2: 8 years&rsquo; experience in software engineering or related area.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Master&rsquo;s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
1345 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems

<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

SWATX

<div><p>AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-</p><p>
premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using</p><p>
primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,</p><p>
agentic, multimodal, and speech-enabled systems.</p><p></p><p>
Responsibilities
</p><p></p><p>Analyze requirements and contribute to technical AI solution design.</p><ul><li>Strong programming skills in Python (mandatory).</li><li>Experience in backend development (APIs, microservices, model serving).</li><li>Hands-on experience with local LLM deployment and optimization.</li><li>Experience in RAG system design and vector databases.</li><li>Practical experience in model fine-tuning (LoRA / PEFT).</li><li>Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.</li><li>Experience working in Linux environments.</li><li>Participate in peer code reviews and team planning activities.</li><li>Provide task estimations and deliver within approved timelines.</li><li>Apply secure coding practices and participate in bug resolution with quality metrics in mind.</li></ul><p></p><p><br>
</p><br>
<br>
<b>Requirements</b><p><br>
Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.</p><p>
3-5 years of experience in AI Engineering.</p><p>
Proficiency in C#, .NET Core and Python.</p><p>
Experience with Structured and Unstructured databases.</p><p>
Experience with Angular or other frontend technologies is a strong plus.</p><p>
Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)</p><p>
Familiarity with Git, RESTful services, and Agile development methodologies</p></div>

Senior Artificial Intelligence Engineer

<div>
 AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-
 <br/>
 <br/>
 premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using
 <br/>
 <br/>
 primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,
 <br/>
 <br/>
 agentic, multimodal, and speech-enabled systems.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Analyze requirements and contribute to technical AI solution design.
 <br/>
 <br/>
 ∙Strong programming skills in Python (mandatory).
 <br/>
 <br/>
 ∙Experience in backend development (APIs, microservices, model serving).
 <br/>
 <br/>
 ∙Hands-on experience with local LLM deployment and optimization.
 <br/>
 <br/>
 ∙Experience in RAG system design and vector databases.
 <br/>
 <br/>
 ∙Practical experience in model fine-tuning (LoRA / PEFT).
 <br/>
 <br/>
 ∙Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 <br/>
 <br/>
 ∙Experience working in Linux environments.
 <br/>
 <br/>
 ∙Participate in peer code reviews and team planning activities.
 <br/>
 <br/>
 ∙Provide task estimations and deliver within approved timelines.
 <br/>
 <br/>
 ∙Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor's degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 <br/>
 <br/>
 3-5 years of experience in AI Engineering.
 <br/>
 <br/>
 Proficiency in C#, .NET Core and Python.
 <br/>
 <br/>
 Experience with Structured and Unstructured databases.
 <br/>
 <br/>
 Experience with Angular or other frontend technologies is a strong plus.
 <br/>
 <br/>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 <br/>
 <br/>
 Familiarity with Git, RESTful services, and Agile development methodologies
</div>


Search 10000+ Intelligent systems engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 intelligent systems engineer jobs Near Me

Software Engineer III

Software Engineer III – AI Security

AI Agent Systems Engineer

Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems

AI Agent Systems Engineer - Mid Level

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer