ai systems engineer

Noon Academy

<div>About Noon Academy:
We&rsquo;re on a mission to radically change the way students learn. We started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you. We believe in solving hard problems, and we play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
Today, we&rsquo;re building the next generation of schools in Saudi Arabia. We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity. The verdict is clear: students don't just tolerate hybrid, they love it.
We&rsquo;re aiming for an IPO, and the product you&rsquo;ll build is core to getting us there. The scale is real. We expanded to 28 schools in our second year of operations, and we're expanding to 100+ schools around the Kingdom in the near future.
Hear about our vision directly from our CEO here.
Learn more about us: here
Why This Role Matters?
Running great schools at scale is an unsolved problem. Timetables, staffing, student success, operational workflows, quality loops. It's a web of complexity that no off-the-shelf software can handle. So we're building our own.
We call it the Ops OS &mdash; an intelligent, event-driven system that makes schools work and scale. Think of it as the nervous system of a school network: routing the right information to the right person at the right time. We're looking for AI Systems Engineers who want to build things that matter
Role Summary
This isn't a typical AI/ML role. You won't be training models in isolation or writing research papers. You'll be embedded in the real world. Talking to students, school staff and internal leaders. You&rsquo;ll be understanding messy operational problems, and shipping working systems that people rely on every single day.
You'll use AI as a power tool alongside strong product engineering skills to build internal apps, data pipelines, dashboards, and intelligent workflows.
What You'll Do<ul><li>
Investigate real problems &mdash; sit with ops teams and school leads to deeply understand what's broken before writing a line of code.</li><li>
Build fast &mdash; go from messy problem spec working prototype in days, not months. We use Claude Code, Cursor, Replit, and every AI tool that makes us faster.</li><li>
Ship products, not scripts &mdash; build real, production-quality tools with great UX (React/TypeScript, Supabase, APIs). Our users are internal Nooners, students, teachers, and school staff. Each user deserves thoughtful designs!</li><li>
Design systems that compound &mdash; think in loops, not features. Data insight action feedback better data.</li><li>
Own your domain end-to-end &mdash; from problem discovery to adoption. If nobody uses it, we haven't succeeded.</li></ul>
What We're Looking For<ul><li>
You think before you build. You can explain a problem to a non-technical person in 30 seconds.</li><li>
You're fast. Ruthlessly good at scoping: 80% of the impact with 20% of the effort.</li><li>
You're strong in data &amp; SQL, AI/LLMs, and product engineering.</li><li>
You&rsquo;re eager to learn and adopt new tools and ways of working.</li><li>
You build things that work, not things that look impressive on a slide.</li><li>
You communicate clearly &mdash; in writing, in demos, in Slack. No jargon.</li><li>
You don't wait to be told. You find the problem, propose the solution, and drive it.</li><li>
Fluent in Arabic and English</li><li>
Based in Riyadh (or able to relocate by an agreed date)</li></ul>
Bonus Points<ul><li>
Experience with event-driven architectures or operational systems.</li><li>
You've built internal tools or ops platforms before.</li><li>
You've used AI coding tools (Cursor, Copilot, Claude) to move 5x faster and ship real products.</li></ul>
Why Noon?<ul><li>
Real impact &mdash; your work directly affects how thousands of students learn every day.</li><li>
Speed and autonomy &mdash; small team, big problems, zero bureaucracy.</li><li>
AI-native culture &mdash; we don't just talk about AI, we build with it daily.</li><li>
Well-funded &mdash; Series B closed, substantial recurring revenue, and accelerating.</li><li>
Mission that matters &mdash; every student deserves world-class teachers. We're making it happen.</li></ul>
Benefits
In addition to a competitive base salary, we offer:<ul><li>
Employee Stock Ownership Plan (ESOP)</li><li>
Performance-based bonus</li><li>
21 days of annual leave</li><li>
Full premium Medical coverage, including Family Dependent</li></ul>
If you're a builder who wants to solve hard problems in education and create something students talk about for years to come, we would love to talk to you.</div>

AI Systems Engineer

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)

DevioTech

Company DescriptionDevioTech is a leading IT consultancy and software development company specializing in global digital transformation. Known for delivering innovative, high-quality technical solutions, we empower businesses to thrive in competitive digital markets. Our core expertise includes scalable full-stack development, advanced digital strategies combined with SEO, and user-centric UI/UX design. With a commitment to excellence, DevioTech fosters long-lasting client relationships and stays ahead in the world of IT innovation.Role DescriptionWe are seeking a Full Stack and AI Systems Engineer for a full-time, on-site position based in Lahore. The engineer will design, develop, and maintain scalable web and AI-driven systems. Responsibilities include systems design, troubleshooting complex software and hardware challenges, system administration, and providing technical support. The role also involves collaborating with cross-functional teams, optimizing system performance, and implementing innovative technologies to meet evolving business needs.Qualifications<ul><li>Proficiency in Systems Design and Systems Engineering for scalable and reliable solutions</li><li>Strong troubleshooting and problem-solving skills for resolving software and hardware issues</li><li>Experience in System Administration with knowledge of managing and maintaining IT infrastructure</li><li>Expertise in providing Technical Support and ensuring seamless operation of IT systems</li><li>Proficiency in programming languages such as JavaScript, Python, or similar</li><li>Experience designing AI-driven systems is a plus</li><li>Bachelor's degree in Computer Science, Software Engineering, or related field</li><li>Ability to work collaboratively in an on-site, team-focused environment</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

Full Stack And AI Systems Engineer

Interplay Learning

<div>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. 
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. 
Awards &amp; Recognition:<ul><li>
2026 &amp; 2025, Forbes, America&rsquo;s Best Startup Employers</li><li>
2025, Inc. 5000, Fastest-Growing U.S. Companies</li><li>
2024, Best Midsize Places to Work In Austin</li><li>
2024, Facilitiesnet Readers' Choice Award Winners for Software</li><li>
2024, AHR Expo Innovation Awards Winners for Software</li></ul> 
Interplay Learning Ethos:
At Interplay, we love what we do. We embrace our daily challenge to push technological limits to invent better ways to make learning easier and training more powerful. We attract passionate people and invite spirited discourse. We celebrate that our jobs fit our lives, not the inverse. We are uncompromising in our belief that together: we can build better training, build better careers and build better lives for customers and our team. 
Interplay uses AI to support the recruiting/hiring process, but all hiring decisions are made by humans. 
Position Applied AI Business Systems Engineer
Department: Business Transformation (Operations) 
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 Applied AI Business Systems Engineer 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. 
If you&rsquo;re a builder who values spirited discourse and believes that technology should serve people (and not the other way around), we want you to help us architect our next chapter. 
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. 
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.<h3 class="jobSectionHeader"> 
Why this position:</h3><ul><li>
Founding AI Role: Act as the architect and builder for our internal &quot;AI-First&quot; operating system.</li><li>
Meaningful, impactful work: Bridge cutting-edge AI capabilities with practical business value to drive measurable efficiency.</li><li>
Mission-driven company: Build better careers and lives through innovative EdTech, VR, and AI.</li><li>
Career development: Opportunity to lead a dedicated AI team and explore commercialization of AI initiatives.</li></ul><h3 class="jobSectionHeader">
What you&rsquo;ll do:</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">
Who you are:</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">
Requirements:</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">
Pay:</h3><ul><li>
Salary Range: $145,000 - $180,000</li></ul> 
Benefit &amp; Perks - why you'll love working with us:<ul><li>
Remote-first &amp; flexible hours &ndash; Offices in Austin, TX; Deer Park, TX; Woodland, WA; and Cleveland, OH.</li><li>
Learning &amp; growth &ndash; Annual learning reimbursement.</li><li>
Family-friendly policies &ndash; Support for work-life balance.</li><li>
Generous time off &ndash; 3 weeks PTO, 1 week Winter Break, holidays, and sick days.</li><li>
Comprehensive benefits &ndash; Medical, vision, dental, and 401(k) match.</li><li>
Equity &ndash; Private Company Equity Options</li><li>
Wellness &ndash; Mental and physical health resources and social events.</li></ul> 
Join us and grow with a team that values you! 
Equal Employment Opportunity
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.
As a federal contractor, Interplay Learning takes affirmative action to consider qualified individuals without regard for disability and protected veterans status.
Individuals with disabilities who need assistance with the application or recruitment process must promptly contact the HR Department to discuss their particular needs. 
Interplay Learning does not discriminate against employees or applicants for discussing, disclosing, or inquiring about compensation. 
Drug Testing &amp; Background Testing
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. 
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.</div>

Applied AI Business Systems Engineer

Sysinn 

We are looking for a mid-level AI Automation &amp; Agent Engineer with 1&ndash;2 years of experience in AI workflows, automation, and integrations. The ideal candidate should be able to build and manage AI-driven systems that automate business operations, SEO workflows, reporting, lead generation, and internal processes.Key Responsibilities<ul><li>Build and manage AI agents and automation workflows</li><li>Automate daily operational, reporting, and marketing tasks</li><li>Develop AI workflows for:</li><li>- IT and digital marketing related tasks</li><li>- Lead generation &amp; outreach</li><li>- Monitoring &amp; reporting</li><li>- Employee performance tracking</li><li>- Task and workflow management</li><li>Integrate AI tools with CRMs, websites, spreadsheets, APIs, and databases</li><li>Create automated dashboards and reporting systems</li><li>Monitor and optimize AI agent performance</li><li>Research and implement new AI tools and automation technologies</li></ul>Requirements<ul><li>1&ndash;2 years of experience in AI automation or workflow automation</li><li>Experience with AI agents, ChatGPT/OpenAI APIs, Claude, Gemini, or similar AI platforms</li><li>Familiarity with tools like n8n, Make.com, Zapier, Airtable, Notion, Clawbot, and similar automation platforms</li><li>Basic programming/scripting knowledge (Python or JavaScript is a plus)</li><li>Understanding of APIs, webhooks, and integrations</li><li>Knowledge of SEO workflows, reporting systems, or business automation</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Skills<ul><li>Experience with CrewAI, LangChain, AutoGen, MCP, or similar agent frameworks</li><li>Experience with vector databases, RAG systems, or AI memory systems</li><li>Familiarity with cloud/VPS deployment and automation servers</li><li>Experience working in digital marketing, SEO, SaaS, or agency environments</li></ul>Work Location: Remote

AI Automation & Agent Engineer

Flatgigs

<div>
 
 The Role
 
 
 
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 
 
 The work is hands-on and client-facing:
 
 
 <ul>
 <li>
 Understand operational workflows and convert them into technical artifacts
 </li>
 <li>
 Connect to real enterprise systems and data sources
 </li>
 <li>
 Build context-aware AI agents, retrieval systems, and automation prototypes
 </li>
 <li>
 Help move the best prototypes toward reliable production deployments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Build context graphs.
 
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 
 
 
 Develop AI and agentic workflows.
 
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 
 
 
 Connect to enterprise systems
 
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 
 
 
 Prototype automation opportunities.
 
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 
 
 
 Turn messy business problems into software.
 
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 
 
 
 Support production deployments.
 
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 
 
 
 Ideal Candidate
 
 
 
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 
 
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 
 
 
 Technical Background
 
 
 
 <ul>
 <li>
 Strong Python fundamentals
 </li>
 <li>
 Basic backend development experience
 </li>
 <li>
 Familiarity with APIs, databases, and cloud services
 </li>
 <li>
 Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
 </li>
 <li>
 Familiarity with data pipelines and messy real-world datasets
 </li>
 <li>
 Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
 </li>
 <li>
 AWS experience is a plus
 </li>
 <li>
 Experience with enterprise data, analytics, or workflow automation is a strong plus
 
 
 </li>
 </ul>
 
 What Makes Someone Successful In This Role
 
 
 
 <ul>
 <li>
 You like figuring out how businesses actually operate
 </li>
 <li>
 You are comfortable working with incomplete, messy, or poorly documented data
 </li>
 <li>
 You can move quickly from vague requirements to a working prototype
 </li>
 <li>
 You care about building useful systems, not just impressive demos
 </li>
 <li>
 You communicate clearly with both engineers and non-technical stakeholders
 </li>
 <li>
 You are curious about how AI agents can interact with real tools, data, and workflows
 </li>
 <li>
 You want to learn how to deploy AI into real enterprise environments
 
 
 </li>
 </ul>
 
 Why This Role Is Interesting
 
 
 
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 
 
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>

Forward Deployed AI Engineer

Luxoft

<div><div><h5 class="jobSectionHeader">Project description
</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. 
 
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. 
 
What You'll Be Building: The Engine of Intelligence 
 
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. 
 
<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> 
<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> 
<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> 
<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">Responsibilities</h5>
<div><div>Architect &amp; Develop: Design, build, and maintain high-performance backend services in Python, using FastAPI for our core agentic platform.
</div><div>Model Reality: Implement complex data validation and serialization schemas with Pydantic to ensure data integrity across our distributed systems.
</div><div>Empower Agents: Develop the core logic for AI agents, including tool integration, state management, and multi-step reasoning frameworks.
</div><div>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.
</div><div>Containerize &amp; Deploy: Create and maintain clean, efficient Dockerfiles and Docker Compose configurations for all backend services, streamlining our deployment pipelines.
</div><div>Collaborate &amp; Innovate: Work in close partnership with AI Researchers, Prompt Engineers, and Frontend Developers to deliver cohesive, end-to-end intelligent solutions.
</div><div>Test &amp; Harden: Author comprehensive unit and integration tests to guarantee the reliability and robustness of the foundational systems powering our agents.
</div></div></div><div><h5 class="jobSectionHeader">Skills</h5>
Must have
<div><div>Technical Excellence:
</div><div>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.
</div><div>Deep expertise in FastAPI and a strong appreciation for its asynchronous capabilities.
</div><div>Mastery of Pydantic for creating strict, type-safe data models that enforce architectural clarity.
</div><div>Experince in any of common agentic frameworks such as langGraph, Pydantic-AI, Google ADK, Agno or any similar framework
</div><div>Strong command of PostgreSQL, including advanced schema design, query optimization, and indexing strategies.
</div><div>Production-level experience with Docker, with a proven ability to write clean, multi-stage Dockerfiles and manage containerized applications.
</div><div>The Agentic Mindset:
</div><div>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.
</div><div>A systems-thinking approach. You can visualize how disparate components&mdash;LLMs, databases, APIs, and tools&mdash;integrate to form a single, intelligent entity.
</div><div>Personal Attributes:
</div><div>Insatiable Curiosity: You are constantly learning and exploring the bleeding edge of AI and software engineering.
</div><div>Ownership Mentality: You don't just write code; you take ownership of the systems you build and are accountable for their performance and reliability.
</div><div>Collaborative Spirit: You thrive in a team environment, sharing knowledge and elevating those around you.
</div></div>Nice to have
<div><div>Experience with vector databases (e.g., Pinecone, Chroma, Weaviate).
</div><div>Knowledge of cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform)
</div><div>Familiarity with CI/CD pipelines (e.g., GitHub Actions, GitLab CI)
</div><div>Experience with message queues (e.g., RabbitMQ, Kafka) for asynchronous task processing.
</div></div></div><div><h5 class="jobSectionHeader">Other</h5>
<div><div><div>Languages
English: B2 Upper Intermediate
</div></div><div><div>Seniority
Senior</div></div></div></div></div>
 <div><div><div>Cairo, Egypt
</div>Req. VR-121738
</div><div></div><div><div>AI/ML
</div><div>Automotive Industry
</div><div>27/04/2026
</div><div>Req. VR-121738</div></div></div>

Backend Engineer for AI Agentic Systems

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