ai systems engineer

Optimum7

<div><p><b>AI Systems Engineer/Developer (Claude-First)</b></p>
<p><b>
Location:</b> Remote, TR</p><p></p><p><br>
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.</p>
<p>
We&rsquo;re looking for a fast, AI-native <b>AI Systems Engineer / Developer who builds with AI at the core and ships fast.</b></p>
<p>
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.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p>
<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><p><b><br>
</b></p><p><b>What You Bring</b></p>
<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><p><b><br>
</b></p><p><b>AI-First Requirement (Non-Negotiable)</b></p>
<p>
 You must already:</p>
<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>
<p> If AI is not central to your workflow, this role is not a fit for you.</p><p><b><br>
</b></p><p><b>What We Value at Optimum7</b></p>
<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><br>
<p></p>
<p><b>
Why Join Optimum7</b></p>
<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><br>
<p></p>
<p><b>
Ready to Grow with Us?</b></p>
<p><b><i>
If you want to operate at the edge of AI-driven systems, move fast, and build real impact, this is your environment.</i></b></p>
<p><b><i>
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.</i></b></p><p></p><p><b><br>
Learn more:</b></p><p><br>
<br>
www.optimum7.com</p>
<p>
 Follow us on LinkedIn: Optimum7</p></div>

AI Systems Engineer/Developer (Claude-First)

Interplay Learning

<div><p>Interplay Learning, the leader in immersive learning for the skilled trades, now includes Industrial Training International (ITI), the global leader in specialized industrial learning solutions.</p><p></p><p><br>
Leveraging instructor-led training, online simulations, AI, and VR, Interplay helps organizations and educational institutions upskill faster, reduce risk, and increase operational readiness. With nearly 600,000 people trained, Interplay is shaping the future of workforce development, building better careers and better lives. Visit www.interplaylearning.com to learn more.</p><p></p><p><b><br>
Awards &amp; Recognition:</b></p><ul><li>
2026 &amp; 2025, <i>Forbes,</i> <i>America&rsquo;s Best Startup Employers</i></li><li>
2025, <i>Inc. 5000, Fastest-Growing U.S. Companies</i></li><li><i>
2024, Best Midsize Places to Work In Austin</i></li><li>
2024, <i>Facilitiesnet Readers' Choice Award Winners for Software</i></li><li>
2024, <i>AHR Expo Innovation Awards Winners for Software</i></li></ul><p></p><p><b><br>
Interplay Learning Ethos:</b></p><p><i>
At Interplay, we </i><b><i>love what we do</i></b><i>. We embrace our daily challenge to push technological limits to invent better ways to make learning easier and training more powerful. We attract </i><b><i>passionate</i></b><i> people and invite </i><b><i>spirited discourse</i></b><i>. We celebrate that our </i><b><i>jobs fit our lives</i></b><i>, not the inverse. We are uncompromising in our belief that </i><b><i>together: we can</i></b><i> build better training, build better careers and build better lives for customers and our team.</i></p><p></p><p><b><i><br>
Interplay uses AI to support the recruiting/hiring process, but all hiring decisions are made by humans.</i></b></p><p></p><p><b><br>
Position </b>Applied AI Business Systems Engineer</p><p><b>
Department: </b>Business Transformation (Operations)</p><p></p><p><br>
At Interplay Learning, we are at a pivotal stage of growth where AI isn't just a tool&mdash;it&rsquo;s the architect of our future &ldquo;AI first&rdquo; operating system. We need an <b>Applied AI Business Systems Engineer</b> who moves with the speed of a startup but the intentionality of a craftsman. This founding role in the Business Transformation Office requires a builder to audit workflows, develop rapid AI prototypes, and establish governance frameworks that bridge GenAI capabilities with measurable business value.</p><p></p><p><br>
If you&rsquo;re a builder who values <b>spirited discourse</b> and believes that technology should serve people (and not the other way around), we want you to help us architect our next chapter.</p><p></p><p><br>
Key requirements include 5-7+ years in digital transformation with a focus on B2B SaaS companies, 1+ year of hands-on GenAI deployment, and technical proficiency in Python/TypeScript, RAG pipelines, and agentic AI solutions.</p><p></p><p><br>
Please note, this role is not involved with our Product &amp; Content teams. You&rsquo;ll focus on business systems (process &amp; technology) for our 250+ person, B2B SaaS company. For example, using AI to help Account Executives and Account Directors win more often.</p><p></p><h3 class="jobSectionHeader"><b><br>
Why this position:</b></h3><ul><li><b>
Founding AI Role:</b> Act as the architect and builder for our internal &quot;AI-First&quot; operating system.</li><li><b>
Meaningful, impactful work: </b>Bridge cutting-edge AI capabilities with practical business value to drive measurable efficiency.</li><li><b>
Mission-driven company:</b> Build better careers and lives through innovative EdTech, VR, and AI.</li><li><b>
Career development:</b> Opportunity to lead a dedicated AI team and explore commercialization of AI initiatives.</li></ul><h3 class="jobSectionHeader"><b>
What you&rsquo;ll do:</b></h3><ul><li>
Own the AI Opportunity Map: Lead the discovery process to audit current workflows and identify high-value friction points for AI transformation.</li><li>
AI Implementation: Provide hands-on development of rapid prototypes and production-ready AI tooling using low-code tools and existing tech stacks.</li><li>
Value Realization: Define and track ROI via dashboards for &quot;Hours Saved,&quot; &quot;Cost Avoidance,&quot; and &quot;Revenue Impact.&quot;</li><li>
Infrastructure Strategy: Develop and own the infrastructure and tooling for the internal AI ecosystem.</li><li>
Governance &amp; Literacy: Establish governance frameworks for data privacy and deliver educational sessions to upskill the workforce.</li></ul><h3 class="jobSectionHeader"><b>
Who you are:</b></h3><ul><li>
Pragmatic Idealist: You have a bias for action and rapid prototyping, but you possess the empathy to ensure AI augments&mdash;rather than replaces&mdash;the human elements of our culture.</li><li>
Cross-Functional Translator: You can fluently explain technical AI concepts (like context windows) to executive leadership and business logic to developers.</li><li>
Bias for Action: You are a pragmatic builder who opens a code editor to prove a solution works rather than just recommending it.</li><li>
Systems Thinker: You connect dots across the wider ecosystem, testing small but building for scale.</li><li>
User-Centric: You are obsessed with the internal customer experience and balancing technical constraints with user needs.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Experience: 5-7+ years in Digital Transformation, Product Management, or Technical Strategy, with at least 1+ year specifically in GenAI deployment.</li><li>
Technical Proficiency: Ability to build agentic AI solutions using Python or TypeScript; expertise in RAG pipelines, orchestration frameworks, and data chunking.</li><li>
Data Fluency: Strong backend foundations (JSON, SQL) and experience with API integrations and event-driven pipelines.</li><li>
Candidates must be authorized to work in the U.S. and be current U.S. residents.</li><li>
Post-offer background check and drug/alcohol testing are required.</li></ul><h3 class="jobSectionHeader"><b>
Pay:</b></h3><ul><li>
Salary Range: $145,000 - $180,000</li></ul><p></p><p><b><br>
Benefit &amp; Perks - why you'll love working with us:</b></p><ul><li><b>
Remote-first &amp; flexible hours</b> &ndash; Offices in Austin, TX; Deer Park, TX; Woodland, WA; and Cleveland, OH.</li><li><b>
Learning &amp; growth</b> &ndash; Annual learning reimbursement.</li><li><b>
Family-friendly policies</b> &ndash; Support for work-life balance.</li><li><b>
Generous time off</b> &ndash; 3 weeks PTO, 1 week Winter Break, holidays, and sick days.</li><li><b>
Comprehensive benefits</b> &ndash; Medical, vision, dental, and 401(k) match.</li><li><b>
Equity </b>&ndash; Private Company Equity Options</li><li><b>
Wellness &ndash; </b>Mental and physical health resources and social events.</li></ul><p></p><p><br>
Join us and grow with a team that values you!</p><p></p><p><b><br>
Equal Employment Opportunity</b></p><p><i>
Interplay Learning is committed to providing equal employment opportunity (EEO) to all qualified employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, pregnancy, marital status, gender identity or expression, status as a veteran, or any other legally protected characteristic or activity in accordance with applicable federal, state and local laws.</i></p><p><i>
As a federal contractor, Interplay Learning takes affirmative action to consider qualified individuals without regard for disability and protected veterans status.</i></p><p><i>
Individuals with disabilities who need assistance with the application or recruitment process must promptly contact the HR Department to discuss their particular needs.</i></p><p></p><p><i><br>
Interplay Learning does not discriminate against employees or applicants for discussing, disclosing, or inquiring about compensation.</i></p><p></p><p><b><br>
Drug Testing &amp; Background Testing</b></p><p><i>
The company conducts background checks as part of the hiring process after extending an offer of employment. These screenings are facilitated by trusted third-party specialists. All positions require I-9 verification, E-Verify, a background check, and a drug and alcohol screening. Depending on the role, additional screenings may include employment history verification, a DMV record check, reference checks, education and credential verification, or a credit history review.</i></p><p></p><p><i><br>
We believe in fostering a welcoming and inclusive workplace and encourage everyone to apply, regardless of background. Our hiring decisions are guided by skills, experience, and a shared commitment to our values. If you have any questions about our process, we&rsquo;re happy to provide support and guidance along the way.</i></p></div><p></p>

Applied AI Business Systems Engineer

MVP Application and game design L.L.C

<p>Role Overview</p><p>We are looking for a highly skilled AI Agent &amp; Routing Engineer to design, build, and scale intelligent AI systems powered by LLMs. This role focuses on developing AI agents, orchestration layers, and routing logic that enable dynamic decision-making across multiple tools, models, and workflows.</p><p>You will work on cutting-edge systems including AI agents, tool-use frameworks, multi-model routing, and MCP-based architectures, helping us build next-generation AI products.</p><p><b>Key Responsibilities</b></p><p>AI Agents &amp; Orchestration</p><ul><li>Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks</li><li>Implement tool-calling systems (APIs, functions, plugins, external services)</li><li>Build multi-step agent workflows with memory, context handling, and retries</li></ul><p>AI Routing Systems</p><ul><li>Develop intelligent AI routers that dynamically select:</li><li>Models (GPT, open-source, etc.)</li><li>Tools / APIs</li><li>Execution paths</li><li>Optimize routing based on latency, cost, and task complexity</li><li>Build fallback and failover logic across models and services</li></ul><p>MCP &amp; Integration</p><ul><li>Implement and integrate MCP (Model Context Protocol) for structured tool interaction</li><li>Design scalable agent-tool communication pipelines</li><li>Connect AI systems with internal and external services</li></ul><p>LLM Engineering</p><ul><li>Work with LLM APIs and frameworks (OpenAI, open-source models, etc.)</li><li>Implement prompt engineering, structured outputs, and guardrails</li><li>Handle context windows, embeddings, and retrieval workflows</li></ul><p>Backend Development</p><ul><li>Build scalable backend services using Node.js or Python</li><li>Design APIs for agent orchestration and routing</li><li>Ensure performance, reliability, and observability</li></ul><p>Requirements</p><p>Must-Have</p><ul><li>Strong experience in JavaScript (Node.js) or Python</li><li>Experience building AI agents or LLM-powered applications</li><li>Understanding of:</li><li>Function/tool calling</li><li>Prompt engineering</li><li>Multi-step workflows</li><li>Experience with AI routing / orchestration logic</li><li>Familiarity with MCP (Model Context Protocol) or similar architectures</li></ul><p>Nice to Have</p><ul><li>Experience with frameworks like:</li><li>LangChain / LlamaIndex / custom agent frameworks</li><li>Knowledge of:</li><li>Vector databases (Pinecone, Weaviate, etc.)</li><li>RAG systems</li><li>Experience with multi-model systems (OpenAI + open-source)</li><li>DevOps experience (Docker, cloud deployment, scaling AI workloads)</li></ul><p>What You&rsquo;ll Build</p><ul><li>AI agent systems that think, decide, and act autonomously</li><li>Smart routers that choose the best model/tool per request</li><li>MCP-based ecosystems connecting AI to real-world tools</li><li>Production-grade AI infrastructure used by thousands of users</li></ul><p>Ideal Candidate</p><ul><li>Thinks like a system designer, not just a coder</li><li>Obsessed with AI architecture and performance optimization</li><li>Can turn vague ideas into working intelligent systems</li><li>Comfortable working in fast-moving, experimental environments</li></ul><p>Why Join Us</p><ul><li>Work on cutting-edge AI systems (agents, routing, orchestration)</li><li>High ownership and impact on core product architecture</li><li>Opportunity to shape the future of AI products in the region</li></ul><p>Job Type: Full-time</p><p>Pay: AED4,000.00 - AED5,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>AI Agent &amp; Routing Engineer: 1 year (Required)</li><li>Software Development: 3 years (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work Location: In person</p>

AI Agent Developer

Hustech

<p>hustech.ai builds production-ready AI systems for real businesses. We work with international clients across automation, NLP, Computer Vision, LLM applications, and custom AI products. Our focus is delivery, reliability, and real business outcomes.</p><p>Role Overview</p><p>We are hiring an experienced Applied AI Engineer who can take ownership of client projects from start to finish.</p><p>This is not a research-only role and not for fresh graduates. We need someone who can understand client requirements, design the right solution, build the system, deploy it, and support delivery.</p><p>You should be comfortable handling different AI project types such as ML, Deep Learning, NLP, Computer Vision, LLM apps, RAG systems, and AI agents.</p><p>What You&rsquo;ll Do</p><ul><li>Join client calls and convert requirements into technical solutions</li><li>Design end-to-end AI system architecture</li><li>Build and train ML / DL models</li><li>Develop NLP, CV, LLM, RAG, and agent-based systems</li><li>Build APIs and backend services using Python / FastAPI</li><li>Deploy solutions using Docker and cloud platforms</li><li>Integrate AI systems into client products and workflows</li><li>Optimize performance, accuracy, and scalability</li><li>Debug issues and deliver production-ready systems</li><li>Communicate progress clearly with international clients</li></ul><p>Required Experience</p><ul><li>3+ years professional industry experience (real client work, not coursework)</li><li>Proven experience delivering end-to-end AI projects</li><li>Strong Python skills</li><li>Hands-on experience in several of these areas: ML, DL, NLP, CV, LLMs, RAG, Agents etc</li><li>Experience with PyTorch or TensorFlow</li><li>Experience with APIs, FastAPI, Docker, deployment</li><li>Strong problem-solving and system design skills</li><li>Good spoken and written English</li><li>Comfortable speaking with international clients</li></ul><p>Preferred Skills</p><ul><li>AWS, GCP, or Azure</li><li>Vector databases (Qdrant, Pinecone, Weaviate)</li><li>OpenCV, Hugging Face, Scikit-learn</li><li>Automation tools and workflow systems</li></ul><p>Who Should Apply</p><p>Apply only if you have already built and delivered real AI systems for companies or clients and can work independently with ownership.</p><p>Education</p><p>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related field.</p><p>Job Type: Full-time</p><p>Pay: Rs80,000.00 - Rs130,000.00 per month</p><p>Experience:</p><ul><li>AI Engineer: 3 years (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul><p>Work Location: In person</p>

AI/ML Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><div>The paradigm of software is shifting from reactive to proactive. At Luxoft, we are at the forefront of this transformation, engineering the next generation of Agentic AI systems. We are seeking an exceptional Backend Engineer to architect the core infrastructure for software that doesn't just execute commands, but reasons, plans, and acts autonomously.<br>
<br>
As a key member of our elite AI Core team, you will move beyond traditional backend development to build the central nervous system for our AI agents. This role is for a true systems builder&mdash;someone passionate about creating robust, scalable, and intelligent platforms that empower autonomous AI to solve complex, real-world problems. You will be instrumental in crafting the bridge between raw data and digital cognition.<br>
<br>
What You'll Be Building: The Engine of Intelligence<br>
<br>
As our Backend Engineer for Agentic Systems, you will own the end-to-end lifecycle of the agent's core infrastructure&mdash;from its memory and logic to its deployment and operational resilience.<br>
<br>
<ul><li>The Agent's Communication Backbone: You will wield FastAPI and Pydantic to design and build high-throughput, asynchronous, and self-documenting APIs. These are more than just endpoints; they are the high-bandwidth channels through which our agents perceive data, communicate their intent, and interact with external tools and systems. Your Pydantic models will define the rigorous data contracts that ensure absolute integrity across our distributed environment.</li></ul><br>
<ul><li>The Agent's Cognitive Framework: You will architect and implement the core systems that enable agentic behavior. This involves developing sophisticated state machines, implementing advanced reasoning loops (e.g., ReAct, Chain-of-Thought), and orchestrating the workflows that allow agents to plan, delegate tasks, and leverage a diverse suite of tools.</li></ul><br>
<ul><li>The Agent's Memory and Knowledge Base: An agent's power lies in its ability to learn and recall. You will be the steward of our agents' memory systems, leveraging the reliability of PostgreSQL. You will design and manage complex database schemas for storing conversation histories, learned knowledge graphs, and operational logs. Your expertise in database management and optimization will be critical to ensuring our agents can access information instantaneously as their knowledge scales.</li></ul><br>
<ul><li>The Agent's Operational Habitat: Our AI agents must be deployed with unwavering reliability and scale on demand. You will master Docker to containerize our entire agentic ecosystem, creating reproducible, isolated, and portable environments that guarantee consistency from development to production.
</li></ul></div></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Architect &amp; Develop: Design, build, and maintain high-performance backend services in Python, using FastAPI for our core agentic platform.
</p></div><div><p>Model Reality: Implement complex data validation and serialization schemas with Pydantic to ensure data integrity across our distributed systems.
</p></div><div><p>Empower Agents: Develop the core logic for AI agents, including tool integration, state management, and multi-step reasoning frameworks.
</p></div><div><p>Manage Data Persistence: Design, optimize, and manage PostgreSQL databases. Write efficient SQL queries, manage migrations, and ensure the long-term health and scalability of our data stores.
</p></div><div><p>Containerize &amp; Deploy: Create and maintain clean, efficient Dockerfiles and Docker Compose configurations for all backend services, streamlining our deployment pipelines.
</p></div><div><p>Collaborate &amp; Innovate: Work in close partnership with AI Researchers, Prompt Engineers, and Frontend Developers to deliver cohesive, end-to-end intelligent solutions.
</p></div><div><p>Test &amp; Harden: Author comprehensive unit and integration tests to guarantee the reliability and robustness of the foundational systems powering our agents.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Technical Excellence:
</p></div><div><p>Proven Professional Experience: A minimum of 3 years in backend engineering, with a strong portfolio of building scalable, production-grade systems using robust Python skills. This includes deep, hands-on experience with database management.
</p></div><div><p>Deep expertise in FastAPI and a strong appreciation for its asynchronous capabilities.
</p></div><div><p>Mastery of Pydantic for creating strict, type-safe data models that enforce architectural clarity.
</p></div><div><p>Experince in any of common agentic frameworks such as langGraph, Pydantic-AI, Google ADK, Agno or any similar framework
</p></div><div><p>Strong command of PostgreSQL, including advanced schema design, query optimization, and indexing strategies.
</p></div><div><p>Production-level experience with Docker, with a proven ability to write clean, multi-stage Dockerfiles and manage containerized applications.
</p></div><div><p>The Agentic Mindset:
</p></div><div><p>A profound passion for AI and a demonstrable interest in agentic systems. You have likely experimented with frameworks like LangChain, LlamaIndex, or AutoGen, or you possess a strong desire to build such systems from fundamental principles.
</p></div><div><p>A systems-thinking approach. You can visualize how disparate components&mdash;LLMs, databases, APIs, and tools&mdash;integrate to form a single, intelligent entity.
</p></div><div><p>Personal Attributes:
</p></div><div><p>Insatiable Curiosity: You are constantly learning and exploring the bleeding edge of AI and software engineering.
</p></div><div><p>Ownership Mentality: You don't just write code; you take ownership of the systems you build and are accountable for their performance and reliability.
</p></div><div><p>Collaborative Spirit: You thrive in a team environment, sharing knowledge and elevating those around you.
</p></div></div><p>Nice to have
</p><div><div><p>Experience with vector databases (e.g., Pinecone, Chroma, Weaviate).
</p></div><div><p>Knowledge of cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform)
</p></div><div><p>Familiarity with CI/CD pipelines (e.g., GitHub Actions, GitLab CI)
</p></div><div><p>Experience with message queues (e.g., RabbitMQ, Kafka) for asynchronous task processing.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Cairo, Egypt
</p></div><p>Req. VR-121738
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Automotive Industry</p>
</div><div><p>01/04/2026
</p></div><div><p>Req. VR-121738</p></div></div></div><p></p>

Backend Engineer for AI Agentic Systems

Faraday Future

<div><p><b>The Company:</b></p>
<p>
Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence&ndash;enabled technologies.</p>
<p>
Founded in 2014, the Company's mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. The Company aims to leverage the latest technologies and world's best talent to realize exciting new possibilities across all of these lines. Faraday Future's automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation. Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.</p>
<p><b>
Your Role:</b></p>
<p>
The Senior Staff AI Engineer, Generative AI Platforms &amp; Workflows will lead the engineering of AI-native platforms and automation systems that power content production, creative operations, and cross-functional workflows inside FF's Visual Marketing and broader creative organization.</p>
<p>
This role sits at the intersection of AI engineering, agent orchestration, and business workflow automation, with the goal of transforming how FF's marketing, content, and operations teams work &mdash; turning manual, time-consuming processes into scalable, AI-powered systems. You will design and ship AI agents, tool integrations, and production-grade automation that enable a small team to deliver with the output of a much larger one.</p>
<p>
This is a hands-on engineering role. You will architect and build the systems yourself &mdash; multi-agent orchestration, memory and knowledge layers, model routing, tool integration, and the user-facing interfaces that sit on top. You will also contribute to FF's broader EAI strategy by helping develop internal AI platforms that the Company plans to roll out across its marketing, creative, and operations functions.</p>
<p>
This position reports to the Head of Visual Marketing and works cross-functionally with marketing, content, product, and engineering teams to align AI-powered platforms with business objectives and measurable outcomes.</p>
<p>
This is a full-time on-site role based in Los Angeles, California, requiring regular in-office collaboration. Fluency in both English and Chinese is required.</p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li><b>AI Workflow Engineering: </b>Build AI-powered workflow systems that help marketing, content, and operations teams automate complex creative and business tasks &mdash; from asset generation and campaign operations to research, review, and distribution pipelines.</li>
</ul><ul><li><b>Agent Platform Development: </b>Design and implement multi-agent orchestration infrastructure &mdash; state machines, supervisor-executor patterns, task scheduling, memory and knowledge systems, and failure recovery &mdash; so that non-technical teams can configure and run their own AI teams.</li>
</ul><ul><li><b>Generative Content Pipelines: </b>Architect end-to-end generative AI pipelines spanning image, video, copy, and multimodal asset generation to support FF's global brand marketing, product launches, and visual storytelling initiatives.</li>
</ul><ul><li><b>Tooling &amp; Integration Layer: </b>Integrate AI tools, MCP-based plugins, and third-party services (OpenRouter, Composio, Claude Code, Cursor, Midjourney, Runway, ComfyUI, and similar) into production-grade workflows that can be safely operated by business users.</li>
</ul><ul><li><b>AI-Native Engineering Practices: </b>Use AI coding tools (Claude Code, Cursor, and equivalents) as your primary development method. Establish engineering workflows, prompts, and patterns that maximize one-engineer throughput through AI-assisted development.</li>
</ul><ul><li><b>Business-Aligned Delivery: </b>Work directly with marketing, content, product, and operations stakeholders to understand pain points, translate messy business requirements into clean technical solutions, and measure impact on time-to-ship, content quality, and operational cost.</li>
</ul><ul><li><b>Platform &amp; SOP Thinking: </b>Design for reuse and scale &mdash; build shared components, asset libraries, SOPs, and self-serve tooling so creative and business teams can operate AI systems independently, without engineering bottlenecks.</li>
</ul><ul><li><b>Innovation &amp; Experimentation: </b>Continuously evaluate emerging models, agent frameworks, and creative AI tools. Prototype rapidly, validate against real business workflows, and bring proven technology into production.</li></ul><br>
<p></p>
<p><b>
Basic Qualifications</b><b>:</b></p>
<ul>
<li><b>Education: </b>Bachelor's degree or above in Computer Science, Electrical Engineering, or a related technical discipline.</li>
</ul><ul><li><b>Experience: 7</b>-10 years of software engineering experience, with meaningful hands-on work in AI/ML systems, AI agents, or AI-enabled tools and products.</li>
</ul><ul><li><b>AI Engineering: </b>Demonstrated ability to design and ship AI-powered products &mdash; not just calling APIs, but building orchestration logic, prompt systems, memory layers, and tool-integration chains.</li>
</ul><ul><li>LLM Fundamentals: Solid understanding of LLM capabilities and boundaries &mdash; context windows, prompting patterns (System Prompt, CoT, Few-shot), model selection, and cost/quality trade-offs.</li>
</ul><ul><li><b>AI-Assisted Development: </b>Daily, proficient user of Claude Code, Cursor, or equivalent AI coding tools. Able to clearly demonstrate how these tools multiply your engineering output.</li>
</ul><ul><li><b>Business Sense: </b>Comfortable working alongside non-technical teams (marketing, content, product, operations). Strong ability to translate ambiguous business needs into clean engineering solutions and to prioritize based on real-world impact.</li>
</ul><ul><li><b>Delivery Track Record: </b>Has independently shipped at least one complete product, internal platform, or meaningful open-source contribution from idea to production &mdash; evidence of end-to-end delivery capability.</li>
</ul><ul><li>Fluency in both English and Chinese due to internal support for Global Team</li>
</ul><ul><li>Ability to work on-site in Los Angeles, CA.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications:</b></p>
<ul>
<li>Experience building multi-agent systems, AI workflow automation platforms, or creative AI production pipelines.</li>
</ul><ul><li>Familiarity with MCP protocol, Composio, Vercel AI SDK, LangGraph, CrewAI, LobeHub, or similar agent frameworks and tool-integration platforms.</li>
</ul><ul><li>Hands-on experience with generative media tools such as Midjourney, Flux, Runway, Pika, Sora, ComfyUI, or Unreal Engine / Blender real-time pipelines.</li>
</ul><ul><li>Full-stack development experience: TypeScript/Node.js, Next.js, or Tauri desktop applications.</li>
</ul><ul><li>Prior experience in marketing tech, creative production, media/entertainment, or other content-heavy industries.</li>
</ul><ul><li>Founding-engineer, solo-builder, or early-stage startup background &mdash; comfortable owning a product from zero to launch.</li>
</ul><ul><li>Strong product intuition &mdash; able to make UX decisions, prioritize features, and think from the user's perspective without a detailed PRD.</li>
<li>Interest in automotive, robotics, Web3, or autonomous systems, aligned with FF's broader EAI Industry Bridge Strategy.</li>
</ul>
<p><b>Perks + Benefits:</b></p>
<ul>
<li>Healthcare + dental + vision benefits (Free for you/discounted for family)</li>
</ul><ul><li>401(k) options</li>
</ul><ul><li>Casual dress code + relaxed work environment</li>
</ul>
<p>Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Senior Manager, Generative AI Creative

Provident Real Estate

<div>
 <br/>
 <p>
  <strong>
   About Provident Real Estate
  </strong>
  Established in 2008, Provident Real Estate has grown into one of Dubai's leading real estate agencies, built on transparency, honesty, and professionalism. With a full-service approach, we support clients across buying, leasing, property management, financing solutions, and holiday homes. But what truly sets us apart is how seriously we take execution.
 </p>
 <p>
  Our marketing team of 42 specialists is one of the largest and most driven real estate marketing teams in Dubai. We don't just market properties &mdash; we build systems, standards, and trust at scale. Representing 40+ nationalities and 60+ languages, Provident Real Estate is a place where ownership is encouraged, ideas are respected, and performance is visible. If you bring passion and discipline, there are no limits to how far you can grow here.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role:
  </strong>
  We're looking for an AI Engineer who lives and breathes intelligent systems. You'll design and ship production-grade AI agents, architect multi-step AI workflows, and help define how our products think, reason, and act. This is a hands-on role &mdash; you'll be building the systems that matter, not just prototyping them.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll do
  </strong>
 </p>
 <ul>
  <li>
   Design and build AI agents &mdash; autonomous, tool-using, goal-directed agents for real-world tasks using frameworks like LangChain, LangGraph, AutoGen, or custom architectures.
  </li>
  <li>
   Define AI workflows &mdash; architect reliable, observable pipelines that chain LLM calls, tool use, memory, and structured outputs together end-to-end.
  </li>
  <li>
   Own the full stack &mdash; from prompt design and model selection to deployment, monitoring, and iteration based on production feedback.
  </li>
  <li>
   Work with RAG and memory systems &mdash; integrate vector databases, knowledge retrieval, and context management into agent pipelines.
  </li>
  <li>
   Evaluate and improve &mdash; build evals, measure agent performance, and drive quality improvements through systematic experimentation.
  </li>
  <li>
   Collaborate cross-functionally &mdash; partner with product, data, and platform engineers to translate requirements into reliable AI-powered systems.
  </li>
 </ul>
 <li>
  <br/>
 </li>
 <p>
  <strong>
   Must-have skills
  </strong>
 </p>
 <ul>
  <li>
   3+ years of software engineering with strong Python proficiency.
  </li>
  <li>
   Hands-on experience building LLM-powered applications or agents.
  </li>
  <li>
   Familiarity with agent frameworks &mdash; LangChain, LangGraph, AutoGen, CrewAI, or similar.
  </li>
  <li>
   Solid grasp of prompt engineering, function calling, and tool use.
  </li>
  <li>
   Experience with APIs (REST, async) and cloud services &mdash; AWS, GCP, or Azure.
  </li>
  <li>
   Ability to reason about latency, cost, and reliability tradeoffs in AI systems.
  </li>
 </ul>
 <li>
  <br/>
 </li>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Experience with vector databases &mdash; Pinecone, Weaviate, pgvector, or Chroma.
  </li>
  <li>
   Knowledge of fine-tuning or RLHF pipelines.
  </li>
  <li>
   Familiarity with MLOps tools &mdash; MLflow, Weights &amp; Biases, etc.
  </li>
  <li>
   Prior work on multi-agent systems or agentic reasoning frameworks.
  </li>
  <li>
   Contributions to open-source AI projects.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you feel you're the right fit, Send your CV along with a brief note on why you're the right fit to
  <strong>
   marketing.ads@providentestate.com
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   PLEASE NOTE:
  </strong>
  <strong>
   Only CV sent via EMAIL will be screened. NOT EASY APPLY.
  </strong>
 </p>
</div>


AI Engineer - Agents & Workflows

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