ai & analytics - sr. software engineer with ai background - cairo

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ai & analytics - sr. software engineer with ai background - cairo Jobs in Cairo

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python team lead ai registry discovery platform aws agentcore

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

🌮⭐️ TacoStars

<div>
 Foodics
 
 
 Software Engineering
 
 
 Cairo, Cairo Governorate, Egypt
 
 
 Posted on Jun 9, 2026
 
 
 Apply now
 
 
 
 Who Are We
 
 ❓
 
 
 
 We Are Foodics!
 
 a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 We're hiring a Senior Engineer to lead significant pieces of work on our platform - from shaping the problem with Product, through designing the solution, to shipping it and supporting it in production. You'll be a key technical voice on the team, helping to set the bar for what good looks like and mentoring others as you go. You'll be working with modern PHP and TypeScript/React on a platform that processes hundreds of thousands of orders a week. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Lead the development of new features end-to-end - from refining the requirements with Product through to shipping and monitoring in production.
 </li>
 <li>
 Drive the technical design of significant system changes and set development standards for the Backend team.
 </li>
 <li>
 Mentor others and be willing to learn from them in turn.
 </li>
 <li>
 Enthuse about new technology and look for pragmatic opportunities to enhance our existing technology stack.
 </li>
 <li>
 Operate with autonomy: identify problems, propose solutions, and follow through without needing to be managed.
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 
 Backend depth:
 
 Comfortable leading non-trivial work in modern PHP (7/8+) - Object-Oriented Design, testability, and the trade-offs of common patterns are second nature.
 
 
 
 Frontend competence:
 
 Can ship production React/TypeScript features end-to-end without supervision.
 
 
 
 Scale experience:
 
 You've worked on high-traffic web applications and understand what breaks at scale - database hotspots, caching, queueing, idempotency, observability.
 
 
 
 Relational databases:
 
 Practical experience with MySQL or similar - you can read an EXPLAIN plan and fix a slow query without guessing.
 
 
 
 Integration work:
 
 Experience designing and consuming HTTP APIs, including handling the messy realities of third-party reliability.
 
 
 
 AI-assisted development:
 
 You use modern AI coding tools (Claude Code, Cursor, Copilot or similar) as part of your daily workflow - and you have a healthy scepticism of their output. You can tell when the model is bluffing and you don't merge code you don't understand.
 
 
 
 Product partnership:
 
 Can work with Product Managers to refine requirements, push back constructively, and give honest estimates.
 
 
 
 Communication:
 
 Can explain technical decisions to non-engineers and write clearly enough that async collaboration actually works.
 
 
 
 Judgment:
 
 Strong problem-solving, attention to detail, and the instinct to ask "do we actually need this?" before adding complexity.
 
 
 
 Who Will Excel❓
 
 
 
 <ul>
 <li>
 DevOps experience with a major cloud provider (AWS / GCP / Azure).
 </li>
 <li>
 Kubernetes, CI/CD pipelines.
 </li>
 <li>
 Python, Node, or other backend languages - we care more about polyglot instinct than the specific stack.
 </li>
 <li>
 Elasticsearch, GraphQL.
 </li>
 <li>
 Experience evaluating or building features that incorporate LLMs into a product (prompt design, RAG, evals, cost/latency trade-offs).
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 <ul>
 <li>
 Curated career progression planning with formal yearly reviews and informal check-ins along the way.
 </li>
 <li>
 Encouragement to grow into a Feature Development Lead.
 </li>
 <li>
 A competitive salary.
 </li>
 <li>
 Ample time to learn new concepts - including paid development and business-related conferences.
 </li>
 <li>
 Fully remote working, no commuting expenses.
 </li>
 <li>
 Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.
 </li>
 <li>
 25 days holiday (plus bank holidays), with an additional day per year of service.
 </li>
 <li>
 Regular all-company socials and quarterly team socials.
 </li>
 <li>
 A team that genuinely likes learning and shipping together.
 
 
 </li>
 </ul>
 Apply now
 
 
 See more open positions at Foodics
</div>

Senior Full Stack Engineer

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

Nexus Analytica

<h3>Lead Backend Developer (Python/Django)</h3>Location: Cairo/Giza, Egypt (Full-time On-site) Experience: 7+ years of professional software development experience Employment Type: Full-time<h2> </h2><h2>About Nexus Analytica</h2>Nexus Analytica is a technology company specializing in digital transformation for the energy sector. We develop advanced software platforms that combine data analytics, artificial intelligence, and modern software engineering to help utilities, renewable energy developers, and governments manage increasingly complex energy systems.Our flagship platform, NexusGRID™, integrates data from renewable energy plants, battery energy storage systems (BESS), smart meters, electric vehicle charging infrastructure, and other grid-connected assets to provide real-time monitoring, forecasting, analytics, and intelligent operational decision support.<h2> </h2><h2>About the Role</h2>We are looking for an experienced Senior/Lead Backend Developer to lead the design, development, and evolution of the backend architecture powering NexusGRID. You will play a key role in building highly scalable, secure, and high-performance backend services capable of processing millions of telemetry records from energy assets while maintaining exceptional reliability and performance.You will work closely with frontend developers, data scientists, DevOps engineers, QA engineers, and product stakeholders to deliver enterprise-grade software used by utilities and energy companies worldwide.This role is ideal for someone who enjoys solving complex engineering challenges, mentoring developers, and shaping the technical direction of a growing software platform.<h2> </h2><h2>Key Responsibilities</h2><ul><li>Lead the architecture, design, and implementation of backend services.</li><li>Design scalable REST APIs and backend microservices.</li><li>Build reliable, secure, and high-performance distributed systems.</li><li>Develop and maintain enterprise-grade Django applications.</li><li>Optimize database performance and data models.</li><li>Design asynchronous processing pipelines using Celery or equivalent technologies.</li><li>Implement event-driven architectures where appropriate.</li><li>Ensure code quality through code reviews, automated testing, and CI/CD pipelines.</li><li>Collaborate with DevOps engineers to improve deployment and infrastructure automation.</li><li>Work closely with frontend teams to define API contracts.</li><li>Collaborate with data scientists to productionize machine learning and forecasting models.</li><li>Mentor junior and mid-level developers through technical guidance and code reviews.</li><li>Participate in architectural decisions and technology selection.</li><li>Troubleshoot production issues and drive root cause analysis.</li><li>Contribute to engineering standards, documentation, and development best practices.</li></ul><h2> </h2><h2>Required Qualifications</h2><ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.</li><li>7+ years of professional backend software development experience.</li><li>Extensive experience with Python.</li><li>Strong professional experience with Django, or equivalent enterprise backend frameworks (such as FastAPI, Flask, Spring Boot, ASP.NET Core, or Node.js/NestJS), with the ability to quickly adapt to Django if not already proficient.</li><li>Strong experience designing RESTful APIs.</li><li>Deep understanding of object-oriented programming and software design principles.</li><li>Strong knowledge of relational databases such as PostgreSQL or MySQL.</li><li>Experience with ORM technologies.</li><li>Experience building scalable backend architectures.</li><li>Strong understanding of authentication and authorization (JWT, OAuth2, OpenID Connect).</li><li>Experience working with Docker.</li><li>Experience using Git in collaborative development environments.</li><li>Experience with automated testing and CI/CD pipelines.</li><li>Strong debugging and performance optimization skills.</li></ul><h2> </h2><h2>Preferred Qualifications</h2>Experience with one or more of the following is highly desirable:<ul><li>Django REST Framework</li><li>Celery</li><li>Redis</li><li>RabbitMQ or Kafka</li><li>WebSockets</li><li>GraphQL</li><li>Azure, AWS, or Google Cloud Platform</li><li>Kubernetes</li><li>Elasticsearch / OpenSearch</li><li>TimescaleDB</li><li>Prometheus &amp; Grafana</li><li>Nginx</li><li>Linux server administration</li><li>Distributed systems</li><li>Event-driven architectures</li><li>High-volume data processing</li><li>IoT platforms</li><li>Time-series databases</li></ul><h2> </h2><h2>Nice to Have</h2><ul><li>Experience developing enterprise SaaS products.</li><li>Experience in the energy, utilities, IoT, or smart grid sectors.</li><li>Experience working with telemetry or real-time data systems.</li><li>Familiarity with protocols such as MQTT or DLMS/COSEM.</li><li>Experience integrating third-party APIs and industrial systems.</li><li>Exposure to AI or machine learning deployment workflows.</li><li>Experience leading agile software teams.</li></ul><h2> </h2><h2>What We Look For</h2><ul><li>Strong technical leadership skills.</li><li>Excellent problem-solving abilities.</li><li>Passion for writing clean, maintainable, and testable code.</li><li>Ownership mentality and attention to detail.</li><li>Excellent communication and collaboration skills.</li><li>Ability to mentor and inspire other developers.</li><li>Comfortable working in a fast-paced, product-focused environment.</li><li>Continuous learner with a passion for modern software engineering.</li></ul><h2> </h2><h2>What We Offer</h2><ul><li>Competitive salary package.</li><li>Opportunity to work on cutting-edge energy technology.</li><li>Exposure to large-scale international projects.</li><li>Collaborative and highly technical engineering environment.</li><li>Career growth and leadership opportunities.</li><li>Modern development tools and workflows.</li><li>Flexible working arrangements.</li><li>Professional training and certification support.</li><li>Opportunity to make a real-world impact on the future of sustainable energy.</li></ul><h2> </h2><h2>Technologies We Use</h2><ul><li>Python</li><li>Django &amp; Django REST Framework</li><li>PostgreSQL</li><li>Redis</li><li>Celery</li><li>Docker</li><li>GitHub &amp; GitHub Actions</li><li>Azure Cloud</li><li>REST APIs</li><li>React (Frontend)</li><li>TypeScript</li><li>Linux</li><li>CI/CD pipelines</li></ul>

Senior Backend Developer (Python Django)

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Design Engineer - AI & Automation, LIGHT

Premier Services and Recruitment

<div>
 
 
 Forward Deployed Engineer II
 
 
 
 
 Location:
 
 Maadi, Cairo, Egypt (Hybrid)
 
 
 We are seeking a
 
 Forward Deployed Engineer II
 
 to lead the technical deployment and integration of AI-driven enterprise solutions within banking and enterprise environments. In this role, you will collaborate directly with client IT, infrastructure, security, and business teams to design deployment architectures, build integrations, and ensure successful implementation and ongoing support of client environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the deployment and lifecycle management of enterprise software solutions within client environments, including on-premises and highly secure infrastructures.
 </li>
 <li>
 Design deployment architectures, network topology, security requirements, integration points, and data flows.
 </li>
 <li>
 Develop and maintain technical documentation, including:
 </li>
 <li>
 API documentation
 </li>
 <li>
 Architecture diagrams
 </li>
 <li>
 Integration guides
 </li>
 <li>
 Deployment runbooks
 </li>
 <li>
 Environment handover documentation
 </li>
 <li>
 Update and rollback procedures
 </li>
 <li>
 Build and maintain integration components such as APIs, connectors, adapters, and automation scripts.
 </li>
 <li>
 Integrate solutions with enterprise platforms, including databases, messaging systems, ERP/CRM solutions, and internal APIs.
 </li>
 <li>
 Deploy and manage applications using Docker, Kubernetes, Linux, and related technologies.
 </li>
 <li>
 Manage software updates, patches, and configuration changes in production environments.
 </li>
 <li>
 Troubleshoot complex infrastructure, networking, and security issues involving VPNs, firewalls, proxies, certificates, authentication, and load balancers.
 </li>
 <li>
 Collaborate with Product, Engineering, DevOps, and Delivery teams to ensure seamless deployments and customer success.
 </li>
 <li>
 Participate in technical discovery sessions, solution design, and implementation planning.
 </li>
 <li>
 Identify opportunities to standardize deployment processes and improve delivery efficiency.
 </li>
 <li>
 Mentor junior engineers and contribute to technical best practices.
 </li>
 <li>
 Participate in on-call support and critical production escalations as required.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in Solutions Engineering, Systems Integration, DevOps, Technical Implementation, Backend Engineering, or a similar role.
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 and API development using frameworks such as
 
 FastAPI
 
 ,
 
 Django
 
 , or similar.
 </li>
 <li>
 Experience deploying and managing applications using
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 Linux
 
 .
 </li>
 <li>
 Experience working with on-premises, private cloud, or highly secure enterprise environments.
 </li>
 <li>
 Solid understanding of networking concepts, including VPNs, firewalls, proxies, DNS, TLS/SSL, load balancers, and certificate management.
 </li>
 <li>
 Experience integrating with enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, ERP, CRM, or messaging platforms.
 </li>
 <li>
 Strong troubleshooting and analytical problem-solving skills.
 </li>
 <li>
 Excellent technical documentation and communication skills.
 </li>
 <li>
 Ability to work directly with client technical and business stakeholders.
 </li>
 <li>
 Willingness to travel to client sites when required.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience within banking, fintech, or enterprise software environments.
 </li>
 <li>
 Knowledge of enterprise security standards and infrastructure best practices.
 </li>
 <li>
 Familiarity with CI/CD pipelines and cloud technologies.
 </li>
 <li>
 Experience working in customer-facing technical delivery roles
 </li>
 </ul>
 
 
 
</div>

Forward Deployed Engineer II

Explore 197+ Python team lead ai registry discovery platform aws agentcore in Cairo this August. Find roles across top companies and apply now to boost your career.