ai systems developer

Optimum7

<div>AI Systems Engineer/Developer (Claude-First)

Location: Remote, TR 
Optimum7 is a performance-driven B2B eCommerce growth agency. We engineer outcomes for industrial B2B and SaaS brands that want to scale smarter and faster through custom development and creative marketing strategies.

We&rsquo;re looking for a fast, AI-native AI Systems Engineer / Developer who builds with AI at the core and ships fast.

If you think in systems, build with AI at the core (Claude, ChatGPT), and care about speed, output, and real-world impact, this role is for you. 
What You&rsquo;ll Do
<ul>
<li>Design and develop scalable, high-performance backend systems and microservices architectures.</li>
<li>Build and maintain RESTful APIs and GraphQL endpoints for seamless integrations.</li>
<li>Turn ideas into working systems quickly, from concept to production.</li>
<li>Integrate LLMs (Claude, OpenAI) and AI/ML-powered features into real-world applications.</li>
<li>Build AI-driven workflows, agents, and automations to replace manual processes.</li>
<li>Design and optimize database structures (MySQL, PostgreSQL, Redis) and system performance.</li>
<li>Implement caching strategies (Redis, Memcached) and ensure scalability and reliability.</li>
<li>Integrate third-party services and platforms using modern API standards.</li>
<li>Work with cloud infrastructure, containerized environments (Docker, Kubernetes), and CI/CD pipelines.</li>
<li>Troubleshoot and resolve complex system issues with a focus on uptime and performance.</li>
<li>Implement security best practices (OAuth 2.0, JWT, encryption, OWASP standards).</li>
<li>Continuously ship, test, and improve systems in a fast-paced, agile environment.</li>
<li>Collaborate with cross-functional teams while contributing to technical decisions and architecture.</li>
<li>Stay current with emerging technologies and apply them to improve speed and system capability.</li></ul> 
What You Bring
<ul>
<li>Hands-on experience using AI tools (Claude, ChatGPT, etc.) in real development workflows</li>
<li>Use AI (Claude, ChatGPT, etc.) as your primary development interface</li>
<li>Can take an idea from concept working system quickly</li>
<li>Think in automation, agents, and scalable architecture</li>
<li>Care about output and speed, not process</li>
<li>Operate with speed as a standard, delivering prototypes in hours, features in days, and systems in weeks, not weeks for features or months for systems.</li></ul> 
AI-First Requirement (Non-Negotiable)

 You must already:
<ul>
<li>use Claude Code daily for coding, debugging, and system design</li>
<li>rely on AI to accelerate development and decision-making</li>
</ul>
 If AI is not central to your workflow, this role is not a fit for you. 
What We Value at Optimum7
<ul>
<li>Commitment to Excellence: Precision, efficiency, and delivering top-tier work.</li>
<li>Problem-Solving Orientation: We don&rsquo;t stop at &ldquo;no&rdquo;; we find solutions.</li>
<li>Innovative Mindset: Always thinking bigger and smarter to drive growth.</li>
<li>Team-Centric Attitude: &ldquo;Zero drama&rdquo; culture built on collaboration and trust.</li>
<li>Growth Minded: Continuous learning, feedback, and improvement.</li>
<li>Purpose-Driven: We empower eCommerce and B2B brands to scale through innovation.</li></ul> 


Why Join Optimum7
<ul>
<li>100% remote role</li>
<li>Competitive base salary paid in USD</li>
<li>Growth opportunities within a rapidly expanding company.</li>
<li>Access to an AI-powered tech stack</li>
<li>A culture built on excellence, integrity, and innovation.</li></ul> 


Ready to Grow with Us?

If you want to operate at the edge of AI-driven systems, move fast, and build real impact, this is your environment.

Apply with more than just your resume, including GitHub or code samples, examples of AI-driven systems, features, or automations you&rsquo;ve built, the tools used (e.g., Claude, OpenAI), and optionally a Loom walkthrough of your workflow. 
Learn more: 
 
www.optimum7.com

 Follow us on LinkedIn: Optimum7</div>

AI Systems Engineer/Developer (Claude-First)

ThreeU

About the RoleWe&rsquo;re looking for a Senior Fullstack Developer with a strong backend focus who can build scalable systems end-to-end and isn&rsquo;t afraid to go beyond traditional engineering.This role is ideal for an all-rounder builder &mdash; someone who can design robust backend architectures, ship fullstack features, and is excited about the next wave of software: AI-native and agent-driven systems.What You&rsquo;ll Do<ul><li>Design and build scalable backend systems, APIs, and services</li><li>Develop fullstack features (backend-first, frontend when needed)</li><li>Own projects end-to-end: architecture &rarr; implementation &rarr; deployment &rarr; monitoring</li><li>Integrate and build with AI systems (LLMs, APIs, workflows)</li><li>Design and implement agentic workflows and automations</li><li>Optimize performance, reliability, and security across the stack</li><li>Collaborate with product and design to turn ideas into production systems</li><li>Contribute to technical strategy and system design decisions</li><li>Mentor and support other engineers</li></ul>What We&rsquo;re Looking ForCore Requirements<ul><li>5+ years experience as a fullstack or backend-focused engineer</li><li>Strong backend expertise (Node.js, Python, Go, or similar)</li><li>Experience building scalable APIs (REST / GraphQL)</li><li>Solid understanding of databases (SQL + NoSQL)</li><li>Experience with cloud infrastructure (AWS, GCP, etc.)</li><li>Strong fundamentals in system design, scalability, and performance</li></ul>Frontend (Working Knowledge)<ul><li>Experience with modern frameworks (React preferred)</li><li>Ability to build functional, clean UI when needed</li></ul>AI &amp; Next-Gen Skills (Strong Plus)<ul><li>Experience with LLM integrations (OpenAI, Anthropic, etc.)</li><li>Understanding of prompt engineering and evaluation</li><li>Experience building or experimenting with agentic AI systems</li><li>Familiarity with:</li><li>AI workflows / tool use</li><li>Retrieval (RAG), embeddings, vector DBs</li><li>Automation pipelines powered by AI</li><li>Ability to think in terms of AI-first product design, not just APIs</li></ul>Nice to Have<ul><li>Microservices architecture experience</li><li>CI/CD and DevOps familiarity</li><li>Multi-tenant or SaaS platform experience</li><li>Startup or high-growth environment background</li></ul>What We Offer<ul><li>Work on a modern, AI-first platform</li><li>High ownership and autonomy</li><li>Fast execution, minimal bureaucracy</li><li>Competitive compensation</li><li>Growth into tech leadership / AI architecture roles</li></ul>Who This Role Is Perfect ForSomeone who:<ul><li>Thinks like a builder and systems designer</li><li>Is backend-strong but not boxed in</li><li>Is curious about and actively exploring AI + agents</li><li>Wants to work on what&rsquo;s next, not just maintain what exists</li></ul>Job Type: Full-timePay: QAR4,000.00 - QAR8,000.00 per monthWork Location: In person

Senior Fullstack Developer (Backend-Focused, All-Rounder)

Builder Lead Converter

<div>Builder Lead Converter

AI Agent Specialist 
Builder Lead Converter is hiring an AI Agent Specialist to design, build, and maintain intelligent AI agents that automate workflows, integrate with our tech stack, and drive real business impact for our internal teams and clients. 
This role sits at the intersection of AI, automation, and systems thinking. You'll work with LLMs, APIs, and automation platforms to deploy AI agents that go far beyond basic chatbots-supporting operations, marketing, customer support, and internal efficiency at scale. 
If you enjoy turning complex, messy processes into clean, automated systems-and want your work to directly impact growing businesses-this role is for you. 
About Builder Lead Converter

Builder Lead Converter (BLC) is a marketing and technology agency serving home builders, remodelers, and construction-focused businesses across the U.S. We specialize in high-performance websites, automation, CRM systems, analytics, and scalable operational processes.

We're known for:
<ul>
<li>Strong technical execution</li>
<li>Clear systems and SOPs</li>
<li>Deep understanding of builder and contractor workflows</li>
<li>A culture that values ownership, documentation, and continuous improvement</li>
</ul>
As we continue to expand our use of AI internally and across client systems, we're investing in this role to help us build production-ready AI agents that create measurable efficiency and value. 
Full Job Description

About the Role

As an AI Agent Specialist, you'll be responsible for creating and managing AI-powered agents that support internal operations, marketing workflows, CRM processes, and customer-facing systems.

You'll collaborate closely with leadership, developers, and non-technical stakeholders to:
<ul>
<li>Identify automation opportunities</li>
<li>Design AI agent logic and workflows</li>
<li>Deploy, test, document, and improve intelligent systems over time</li>
</ul>
This is a hands-on builder role, not a research or purely theoretical position. 
What You'll Do
<ul>
<li>Design and deploy AI agents using LLMs (e.g., OpenAI, Anthropic, etc.)</li>
<li>Build multi-step agent workflows (decision-making, memory, tool usage)</li>
<li>Integrate AI agents with platforms such as:</li>
<li>CRMs (including Go High Level)</li>
<li>WordPress and web applications</li>
<li>Marketing and analytics tools</li>
<li>Internal dashboards and systems</li>
<li>Create automations using tools like:</li>
<li>Zapier, Make, n8n, or similar</li>
<li>Custom API integrations</li>
<li>Implement prompt frameworks, guardrails, and evaluation logic</li>
<li>Optimize AI agents for:</li>
<li>Accuracy</li>
<li>Cost efficiency</li>
<li>Reliability in real-world use</li>
<li>Document systems and contribute to internal SOPs</li>
<li>Monitor performance and iterate based on feedback and results</li></ul> 


Required Skills &amp; Experience
<ul>
<li>Strong understanding of LLMs and prompt engineering</li>
<li>Experience building or deploying AI agents or advanced automations</li>
<li>Comfortable working with APIs, JSON, and structured data</li>
<li>Experience with at least one automation platform (Make, Zapier, n8n, etc.)</li>
<li>Strong systems thinker who can break down complex workflows into logic</li>
<li>Ability to explain technical concepts to non-technical stakeholders</li>
<li>Organized, detail-oriented, and documentation-driven</li></ul> 


Nice-to-Have (Not Required)
<ul>
<li>Experience with:</li>
<li>LangChain, OpenAI Assistants, or similar frameworks</li>
<li>Vector databases and embeddings</li>
<li>WordPress or headless CMS environments</li>
<li>CRM platforms beyond Go High Level</li>
<li>Basic JavaScript or Python</li>
<li>Experience deploying AI in real business environments, not just demos</li></ul> 


Work Schedule &amp; Availability
<ul>
<li>Core office hours: 8:00 AM - 5:00 PM CST, Monday-Friday</li>
<li>We offer flexibility to start up to 4 hours earlier in the day</li>
<li>This is a remote position, but collaboration during shared business hours is important</li></ul> 


Compensation &amp; Benefits
<ul>
<li>Competitive base salary: $1,500 to $2,000</li>
<li>Paid Time Off (PTO)</li>
<li>Floating holidays</li>
<li>Opportunity to earn quarterly performance bonuses</li>
<li>Profit sharing eligibility after 3 years of service</li>
<li>Work with modern, evolving tech systems and a team that values smart automation</li></ul> 


Our Tech Stack (Includes but Not Limited To)
<ul>
<li>Go High Level</li>
<li>WordPress</li>
<li>Jira</li>
<li>Trello</li>
<li>Automation platforms (Zapier, Make, n8n, etc.)</li>
<li>Analytics, marketing, and CRM tools</li></ul> 


What Success Looks Like
<ul>
<li>AI agents are reliable, maintainable, and trusted by the team</li>
<li>Automations reduce manual effort and improve consistency</li>
<li>Systems are clearly documented and easy to extend</li>
<li>You proactively identify opportunities to improve workflows using AI</li></ul> 


How to Apply

Please send:
<ul>
<li>A brief overview of your experience with AI agents or automation</li>
<li>Examples of systems you've built (Looms, screenshots, GitHub, or descriptions)</li>
<li>Optional: your favorite tools or frameworks and why you like them</li></ul></div>

AI Agent Specialist

Dizzaract FZ LLC

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.The Mission: We are building a highly optimized, decentralized AI inference network. To beat the latency and throughput of established centralized players, we cannot rely on off-the-shelf wrappers. You will be responsible for building the bare-metal, ultra-low-latency infrastructure that serves large language models and multimodal networks at unprecedented scale.What You Will Do:<ul><li>Core Engine Development: Architect and write highly optimized, low-level code (primarily in Rust and C) to manage model loading, memory allocation, and request batching across a distributed fleet of GPUs/NPUs.</li><li>Hardware-Aware Optimization: Implement tensor mathematics optimizations and custom kernels (CUDA/Triton) to squeeze maximum FLOPS out of the hardware.</li><li>Zero-Intervention Deployments: Build rock-solid, fully packaged infrastructure pipelines. We operate with zero manual intervention&mdash;no ad-hoc scripts, no PowerShell bandaids. If a node fails, the network must heal autonomously.</li><li>Decentralized Orchestration: Design the peer-to-peer or decentralized routing logic that ensures high availability and optimal load balancing across geographically distributed nodes.</li><li>Advanced Inference Techniques: Implement and optimize techniques like continuous batching, speculative decoding, and paged attention (vLLM, TensorRT-LLM) customized for our specific network architecture.</li></ul>What We Are Looking For:<ul><li>Deep expertise in systems programming (Go) and a strong aversion to bloated, high-level abstractions where performance matters.</li><li>Proven experience with GPU programming (CUDA, ROCm) and low-level hardware architecture.</li><li>Strong understanding of deep learning architectures (Transformers, Mamba) and how tensor operations execute on silicon.</li><li>Experience building highly concurrent, distributed systems with sub-millisecond network latency requirements.</li></ul>Work Location: In person

AI Inference Infrastructure Engineer

Apple

The Health Personalization team builds outstanding technologies to support AI-driven health experiences that provide our users with understandable, actionable information about their health and wellbeing, and support them to achieve their health and wellness goals. As part of the larger Sensor Software &amp; Prototyping team, we take a multimodal approach using a variety of sensors and user data signals across hardware platforms, such as camera, wearables, and natural language user input. We are committed to building deeply personal features that understand, anticipate, and adapt to users&rsquo; behaviors and uphold Apple&rsquo;s deep commitment to privacy as a fundamental human right. Our team values expertise, innovation, and inclusivity. Come join us! 
 
Description 
 
In this role, you will develop, evaluate, and continuously improve Generative AI systems for real-world health and wellbeing applications. You&rsquo;ll apply deep expertise in health-focused machine learning alongside rigorous evaluation methodology. Your work will directly shape customer-facing health products by turning evaluation results into scalable pipelines that drive data-informed model improvements across the full ML lifecycle. You&rsquo;ll collaborate with a fast-growing team of top scientists and engineers to build generative systems that meet the highest standards of quality, reliability, and alignment with human intent.&quot;,&quot;responsibilities&quot;:&quot;Develop and improve generative AI systems for health and wellbeing applications across the full feature development lifecycle. 
 
Independently design, run, and analyze ML experiments to deliver measurable quality improvements. 
 
Design and implement evaluation frameworks-including automated assessment tools, LLM-based autograders, and benchmarks-with rigorous validation of their reliability and validity. 
 
Apply statistical and interpretability methods to analyze evaluation data and model behavior, identify failure modes through adversarial testing and failure analysis, and drive actionable improvements. 
 
Build and maintain scalable, reusable pipelines for inference, training, and evaluation, integrated with large-scale data workflows. 
 
Work cross-functionally with engineers, clinical experts, designers, and hardware and software teams to bring features into production with real-world applicability and impact. 
 
Preferred Qualifications 
 
MS or PhD in a detailed quantitative field such as computer science, mathematics, statistics, economics, health informatics, or similar and 5 years relevant industry experience 
 
Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture. 
 
Technical expertise in generative AI domains, such as large language model architectures, memory representation, planning, knowledge retrieval, natural language understanding. 
 
Hands-on experience developing complex generative AI systems in an applied setting, e.g. experience with post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback. 
 
Experience with LLM-based evaluation systems and rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis. 
 
Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products. 
 
Knowledge of health informatics or experience with complex health data sources (e.g. EHRs, medical ontologies, wearables) 
 
Experience with building and deploying performant and scalable systems (full-stack) 
 
Minimum Qualifications 
 
BS and a minimum of 10 years relevant industry experience 
 
Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices. 
 
Technical expertise and hands-on experience crafting and evaluating machine learning solutions for user-facing applications. 
 
Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection / evaluation (e.g. user studies, annotation workflows, A/B tests). 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

GenAI Research Engineer

Accenture

<div>
 
 We Are
 
 
 
 Accenture's Oracle Business Group AI Center of Excellence is one of the most active enterprise AI innovation environments in the Oracle ecosystem.
 
 
 We build real products that close deals and run in production &mdash; a knowledge platform spanning 27 Oracle knowledge servers and 980K+ documents. We move at startup speed inside a global platform, and we're scaling fast.
 
 
 This is a founding team, these first hires will shape the culture, the systems, and the trajectory of the work we are doing!
 
 
 
 You Are
 
 
 
 You're an AI builder who doesn't wait for permission. You've rebuilt how you work around AI agents &mdash; not just adopted them. You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open-source repo drops, you're testing it the next day. You have an instinct for turning cutting-edge AI into commercial value.
 
 
 You're equally comfortable in a technical deep-dive and a client conversation.
 
 
 You might come from engineering, consulting, product, or pre-sales &mdash; what matters is that you build things that work and can explain why they matter.
 
 
 
 The Work
 
 
 
 <ul>
 <li>
 Contribute to the Knowledge Repository &mdash; a multi-tenant enterprise knowledge platform built on Oracle 23ai, powering intelligent search and document retrieval at scale
 </li>
 <li>
 Build and extend MCP server infrastructure &mdash; our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks
 </li>
 <li>
 Accelerate AI-assisted sales pursuits &mdash; helping sales teams win faster with AI-generated content, live demo agents, and intelligent presentation assets
 </li>
 <li>
 Serve as an Anthropic / AI coding agent SME across internal teams and client-facing engagements
 </li>
 <li>
 Partner with solution architects, sales, and delivery teams to embed AI across the Accenture-Oracle alliance
 
 
 </li>
 </ul>
 Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
 
 
 
 Here's What You Need
 
 
 
 <ul>
 <li>
 Minimum of 5 years experience in software engineering, AI/ML, or enterprise technology
 </li>
 <li>
 Minimum of 1 year of experience with hybrid retrieval systems &mdash; vector search, knowledge graphs, or structured search pipelines &mdash; and an understanding of context engineering as the layer that makes agents reliable
 </li>
 <li>
 Minimum of 1 year of hands-on experience building and deploying agentic AI systems &mdash; Claude/Anthropic, or equivalent
 </li>
 <li>
 Experience with Model Context Protocol (MCP) servers, agentic harness frameworks, or tool-use orchestration
 </li>
 <li>
 Experience designing evaluation frameworks or quality gates for AI system output
 </li>
 <li>
 Proven ability to be able to translate complex AI concepts for both technical and non-technical audiences
 </li>
 <li>
 Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate&rsquo;s Degree, must have equivalent minimum 6-year work experience
 
 
 </li>
 </ul>
 
 Bonus Points If
 
 
 
 <ul>
 <li>
 You have functional Oracle knowledge &mdash; EPM, ERP, or OCI
 </li>
 <li>
 You have experience with agentic harness frameworks
 </li>
 <li>
 You have a pre-sales, sales solutioning, or client-facing delivery background
 </li>
 <li>
 You have startup, entrepreneurial, design or product-led environment experience
 </li>
 <li>
 You have consulting or professional services background in large-scale digital transformation
 
 
 </li>
 </ul>
 Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
 
 
 We anticipate this job posting will be posted until 5/25/2026
 
 
 Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: &lt;a href="https://www.accenture.com/us-en/careers/local/benefits" target="_blank" data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Qualification-item0":{"analytics-link-name":"u.s. employee benefits | accenture","analytics-link-type":"engagement","xdm:linkURL":"https://www.accenture.com/us-en/careers/local/benefits","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;U.S. Employee Benefits | Accenture
 
 
 
 Role Location Annual Salary Range
 
 
 
 California $73,800 to $218,800
 
 
 Cleveland $68,300 to $175,000
 
 
 Colorado $73,800 to $189,000
 
 
 District of Columbia $78,500 to $201,300
 
 
 Illinois $68,300 to $189,000
 
 
 Maryland $73,800 to $189,000
 
 
 Massachusetts $73,800 to $201,300
 
 
 Minnesota $73,800 to $189,000
 
 
 New York $68,300 to $218,800
 
 
 New Jersey $78,500 to $218,800
 
 
 Washington $80,200 to $201,300
 
 
 New York City, NY
 
 
 Albany, NY
 
 
 Arlington, VA
 
 
 Atlanta, GA
 
 
 Austin, TX
 
 
 Beaverton, OR
 
 
 Bentonville, AR
 
 
 Boston, MA
 
 
 Carmel, IN
 
 
 Charlotte, NC
 
 
 Chicago, IL
 
 
 Cincinnati, OH
 
 
 Cleveland, OH
 
 
 Columbus, OH
 
 
 Culver City, CA
 
 
 Denver, CO
 
 
 Des Moines, IA
 
 
 Detroit, MI
 
 
 Hartford, CT
 
 
 Houston, TX
 
 
 Irving, TX
 
 
 Kirkland, WA
 
 
 Miami, FL
 
 
 Milwaukee, WI
 
 
 Minneapolis, MN
 
 
 Morristown, NJ
 
 
 Mountain View, CA
 
 
 Nashville, TN
 
 
 Oklahoma City, OK
 
 
 Overland Park, KS
 
 
 Philadelphia, PA
 
 
 Pittsburgh, PA
 
 
 Raleigh, NC
 
 
 Redmond, WA
 
 
 Sacramento, CA
 
 
 San Diego, CA
 
 
 San Francisco, CA
 
 
 Scottsdale, AZ
 
 
 Seattle, WA
 
 
 St. Louis, MO
 
 
 St. Petersburg, FL
 
 
 Walnut Creek, CA
 
 
 
 Requesting an Accommodation
 
 
 
 Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
 
 
 If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an &lt;a href="/us-en/about/contact-us" target="_self" class="cmp-text__link cmp-text__link--default" data-barba-transition="true" data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item0":{"analytics-link-name":"email","analytics-link-type":"engagement","xdm:linkURL":"/us-en/about/contact-us","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;email or speak with your recruiter.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
 
 
 For details, view a copy of the &lt;a href="/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50" title="Opens the PDF full report, Annual policy statement regarding equal employment opportunity and affirmative action statement , in a new tab." target="_blank" class="cmp-text__link cmp-text__link--default" data-tooltip="Opens the PDF full report, Annual policy statement regarding equal employment opportunity and affirmative action statement , in a new tab." data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item1":{"analytics-link-name":"accenture equal opportunity statement","analytics-link-type":"engagement","xdm:linkURL":"/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;Accenture Equal Opportunity Statement
 
 
 Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
 
 
 Accenture is committed to providing veteran employment opportunities to our service men and women.
 
 
 
 Other Employment Statements
 
 
 
 Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
 
 
 Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
 
 
 Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
 
 
 The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
 
 
 California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please &lt;a href="/us-en/careers/support/e-verify-legal-notices" target="_self" class="cmp-text__link cmp-text__link--default" data-barba-transition="true" aria-label="please click here for additional important information." data-cmp-clickable="" data-cmp-data-layer="{"jobdetail-1e0b7e5710-Additional Information-item2":{"analytics-link-name":"click here","analytics-link-type":"engagement","xdm:linkURL":"/us-en/careers/support/e-verify-legal-notices","analytics-engagement":"true"}}" rel="noopener noreferrer"&gt;click here for additional important information.
 
 
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</div>

Applied AI Engineer, Founding Team

FriendliAI

<div><h3 class="jobSectionHeader">About the Job</h3>
We&rsquo;re seeking a Full-Stack Engineer to design, build, and scale our web platform, which serves as the core interface for deploying multimodal models, observing workloads, and building agent workflows. In this role, you&rsquo;ll work closely with product, infrastructure, and design teams to create high-performance, developer-friendly, and enterprise-ready tools.
We are looking for a hands-on engineer who is eager to work at the intersection of infrastructure, developer experience, and AI applications. The ideal candidate is a talented full-stack developer, strong collaborator, and someone who enjoys working across the stack, cares deeply about developer workflows, and is excited to help define the future of AI adoption.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain web applications and tools for AI model deployment, monitoring, and performance optimization</li><li>
Develop clean, scalable, and robust APIs powering AI agents, workflows, and user-facing systems</li><li>
Collaborate with infrastructure engineers to integrate backend systems with deployment and orchestration pipelines</li><li>
Optimize the performance and usability of web interfaces</li><li>
Drive code quality through automated testing, CI/CD, and code reviews</li><li>
Contribute to architecture and design decisions that shape our platform&rsquo;s long-term direction</li><li>
Identify and resolve technical debt and improve system reliability in production systems</li></ul><h3 class="jobSectionHeader">
Qualifications</h3><ul><li>
5+ years of industry experience in full-stack or backend engineering</li><li>
Bachelor&rsquo;s or Master's degree in Computer Science, Computer Engineering, or equivalent</li><li>
Fluent in TypeScript and Python, Expert with React/Next.js</li><li>
Strong backend experience with FastAPI or similar Python frameworks</li><li>
Proven expertise in delivering production-scale full-stack applications</li><li>
Proficiency in designing data models, writing SQL, and working with PostgreSQL</li><li>
Deep understanding of modern web frameworks and component-driven architecture</li><li>
Strong API design experience across gRPC/REST/GraphQL in production systems</li><li>
Solid foundation in cloud-native development</li><li>
Familiarity with OpenTelemetry tracing, metrics, and structured logging</li><li>
Knowledge of web security, authentication, RBAC, and multi-tenant SaaS systems</li></ul><h3 class="jobSectionHeader">
Preferred Experience</h3><ul><li>
Familiarity with LLM-based workflows, tool invocation, or agentic systems</li><li>
Familiarity with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications in production environments</li><li>
Have worked in a startup or fast-paced environments with ownership and ambiguity</li><li>
Built developer-facing SDKs/CLIs</li><li>
Passion for developer experience and enabling AI adoption</li></ul><h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Flexible working hours</li><li>
Daily lunch and dinner provided; unlimited snacks and beverages</li><li>
Supportive and highly collaborative work environment</li><li>
Health check-up support and top-tier equipment/hardware support</li><li>
A front-row seat to the generative AI infrastructure revolution</li><li>
Competitive compensation, startup equity, health insurance, and other benefits.</li></ul><h3 class="jobSectionHeader">
About FriendliAI</h3>
FriendliAI is building the world&rsquo;s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.</div>

Software Engineer - Full Stack

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