ai software engineer

Commencis

<div><div><p>At Commencis, we are seeking a <b>Senior AI Software Engineer</b> to join our AI Lab ecosystem. In this role, you will design, build, and scale production-grade LLM applications and AI-powered systems that solve real-world enterprise problems.</p>
<p>
You will take technical ownership across the full lifecycle of AI systems, from architecture and data pipelines to deployment, evaluation, monitoring, and continuous optimization. Working closely with product, software, and business teams, you will help shape AI-first solutions that create measurable impact.</p>
<p><b>
If you are curious by nature, adaptive, collaborative, technically hands-on, and always one step ahead, then join us and be a Commencer!</b></p>
</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><div>
<ul><li>Lead the design and development of production-grade LLM applications and AI-powered enterprise system</li>
<li>Architect scalable AI system components, including data pipelines, model integration, orchestration layers, evaluation workflows, and deployment infrastructure</li>
<li>Collaborate with product, software, and business teams to translate enterprise needs into reliable AI solutions</li>
<li>Design and orchestrate LLM-based workflows using modern frameworks, tools, and cloud-native architectures</li>
<li>Drive proof-of-concept initiatives and turn promising ideas into scalable production solutions</li>
<li>Adapt, fine-tune, and optimize machine learning and generative AI models where needed</li>
<li>Implement and improve MLOps practices using containerization, Kubernetes, MLflow, cloud services, and CI/CD pipelines</li>
<li>Evaluate AI applications in terms of quality, reliability, latency, cost, safety, and business impact</li>
<li>Mentor engineers on AI engineering best practices, code quality, and production readiness</li>
<li>Follow emerging AI techniques and share insights through prototypes, technical documentation, and internal knowledge-sharing</li>
<li>Advocate for responsible AI principles, ensuring fairness, transparency, privacy, and security</li>
</ul></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
<ul><li>BSc, MSc, or PhD in Computer Science, Engineering, or a related field</li>
<li>Strong hands-on experience with Python and modern machine learning frameworks such as PyTorch or TensorFlow</li>
<li>Proven experience designing, building, and deploying production-grade AI, ML, or LLM-based systems</li>
<li>Solid understanding of transformer-based architectures and generative AI systems</li>
<li>Experience adapting, fine-tuning, or optimizing generative models, including open-source LLMs</li>
<li>Strong understanding of modern LLM system design patterns, including retrieval, tool use, context engineering, evaluation, and agentic workflow orchestration</li>
<li>Experience with containerization, Docker, Kubernetes, cloud platforms, and CI/CD pipelines</li>
<li>Experience with at least one orchestration framework or platform for building LLM-based applications</li>
<li>Familiarity with MLOps practices, including model monitoring, experiment tracking, evaluation pipelines, and production model lifecycle management</li>
<li>Ability to make sound technical decisions considering scalability, reliability, performance, security, and cost</li>
<li>Comfortable working with AI-assisted software development workflows and using modern coding agents to accelerate planning, implementation, testing, and iteration</li>
<li>Strong collaboration and communication skills, with the ability to work effectively across product, engineering, and business teams</li>
</ul></div><h3 class="jobSectionHeader"><b>Nice to Have</b></h3><div>
<ul><li>Contributions to open-source AI projects</li>
<li>Expertise in LLM evaluation, guardrails, observability, and performance-cost optimization</li>
<li>Experience with frameworks such as LangGraph, GoogleADK, or similar tools
</li><li>Experience with multimodal AI, graph-based AI systems, reinforcement learning, or other advanced AI domains</li>
<li>Experience designing AI systems for enterprise-scale use cases</li>
<li>Active engagement in AI communities such as Kaggle, Hugging Face, or similar platforms</li>
<li>Experience mentoring engineers or leading technical initiatives in AI/ML teams</li>
</ul></div><div><div><b>Why Commencis?</b></div>
<div></div>
<div>We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div>
<div></div>
<div>Competitive Compensation &amp; Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.</div>
<div></div>
<div>Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.</div>
<div></div>
<div>Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div>
<div></div>
<div>Community &amp; Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.</div>
<div></div>
<div>Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.</div>
<div></div>
<div><b>About Commencis</b></div>
<div></div>
<div>Join us in paving the way for a thriving digital society!</div>
<div></div>
<div>Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.</div>
<div></div>
<div>We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.</div>
<div></div>
<div>If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div>
<div></div>
<div>We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI Software Engineer

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 <br/>
 <br/>
 Core Requirements
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
  </li>
  <li>
   Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
  </li>
  <li>
   Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
  </li>
  <li>
   Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
  </li>
  <li>
   Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
  </li>
  <li>
   Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
  </li>
  <li>
   Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
  </li>
  <li>
   Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
  </li>
  <li>
   Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
  </li>
  <li>
   Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
  </li>
  <li>
   Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
  </li>
  <li>
   Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
  </li>
  <li>
   hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
  </li>
  <li>
   Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
  </li>
  <li>
   Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 <ul>
  <li>
   Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
  </li>
  <li>
   Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
  </li>
  <li>
   Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
  </li>
  <li>
   Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
  </li>
  <li>
   Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
   <br/>
   <br/>
  </li>
 </ul>
 What We Look For
 <br/>
 <br/>
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <ul>
  <li>
   Competitive compensation package, performance-based rewards, and recognition for your contributions.
  </li>
  <li>
   Continuous learning and world-class professional development opportunities.
  </li>
  <li>
   Flexible work arrangements to empower your impact.
  </li>
  <li>
   Coaching, mentorship, and transformative leadership experiences.
  </li>
  <li>
   A diverse, inclusive, and collaborative culture.
   <br/>
   <br/>
  </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
</div>


Senior Consultant - AI Software Engineer- AI Hub - Cairo

Siemens EDA (Siemens Digital Industries Software)

<div>
 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 We are looking for a passionate
 <strong>
  AI/ML Software Engineer
 </strong>
 to join our technology and innovation team in Cairo, Egypt. You will be responsible for designing, developing, and deploying cutting-edge solutions that leverage modern programming languages, frameworks, and emerging AI/ML technologies. Working on both front-end and back-end development, you'll collaborate with partners and customers to deliver high-quality, cost-effective solutions while driving innovation in Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning&mdash;from concept to deployment.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.
  </li>
  <li>
   Develop products and prototypes in one or more of the following areas: Large Language Models (LLMs), Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).
  </li>
  <li>
   Collaborate with partners and customers to deliver high-quality, cost-effective solutions.
  </li>
  <li>
   Drive the software development lifecycle by owning assigned features from concept to deployment, including design, code reviews, acceptance testing, and release.
  </li>
  <li>
   Produce innovative, high-quality software solutions for development teams and customers.
  </li>
  <li>
   Adhere to Siemens processes, quality standards, and engineering guidelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Computer Science, Mathematics, or a related field.
  </li>
  <li>
   Proven experience in developing web applications across diverse industries.
  </li>
  <li>
   Proficiency in one or more programming languages, such as Python, Java, and/or JavaScript. Experience with UI frameworks such as ReactJS and Angular is a plus.
  </li>
  <li>
   Strong understanding of data structures, data modeling, software architecture, and software design principles.
  </li>
  <li>
   Hands-on experience in web, cloud, and mobile application development for AI- and ML-based solutions.
  </li>
  <li>
   Hands-on experience designing and developing software applications for web, cloud, and IoT platforms, such as AWS, Google Cloud, Microsoft Azure, or IBM Bluemix.
  </li>
  <li>
   Experience with machine learning frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn) is a plus.
  </li>
  <li>
   Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
  </li>
  <li>
   Passion for writing clean, maintainable, and efficient code.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Us
  <br/>
  <br/>
 </strong>
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 <br/>
 <br/>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 The salary range for this position is $23, 900 to $47,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
 <br/>
 <br/>
 <strong>
  Diversity &amp; Inclusion
  <br/>
  <br/>
 </strong>
 We value equal opportunities and welcome applications from people of all backgrounds. At Siemens, we believe that diversity of thought and experience drives innovation. We are committed to creating an inclusive workplace and ensuring that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations.
 <br/>
 <br/>
 Siemens Software. Transform the Everyday
 <br/>
 <br/>
</div>


AI/ML Software Engineer

Infomineo

<div>
 <p>
  <strong>
   About us
  </strong>
 </p>
 <p>
  Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 </p>
 <p>
  <br/>
 </p>
 <ol>
  <li>
   350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
  </li>
  <li>
   Our proprietary AI orchestrator.
  </li>
  <li>
   Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  Ready to kick start your career with us?
 </p>
 <p>
  <strong>
   Why Infomineo? Here&rsquo;s what sets us apart:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Shape the Future of Business Insights:
   </strong>
   You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
  </li>
  <li>
   <strong>
    Work with Global Leaders:
   </strong>
   Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
  </li>
  <li>
   <strong>
    Lead in AI &amp; Technology:
   </strong>
   We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
  </li>
  <li>
   <strong>
    Thrive in a Collaborative Culture:
   </strong>
   We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About this role:
  </strong>
 </p>
 <p>
  We are seeking an experienced and technically strong individual to join us as
  <strong>
   Senior AI Software Engineer.
  </strong>
  In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <strong>
   Data Science, AI &amp; Applied R&amp;D:
  </strong>
 </p>
 <ul>
  <li>
   Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
  </li>
  <li>
   Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
  </li>
  <li>
   Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
  </li>
  <li>
   Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
  </li>
  <li>
   Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
  </li>
  <li>
   Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
  </li>
  <li>
   Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
  </li>
  <li>
   Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
  </li>
  <li>
   Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Full-Stack Application Development:
  </strong>
 </p>
 <ul>
  <li>
   Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
  </li>
  <li>
   Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
  </li>
  <li>
   Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
  </li>
  <li>
   Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
  </li>
  <li>
   Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
  </li>
  <li>
   Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Cloud, Deployment &amp; MLOps:
  </strong>
 </p>
 <ul>
  <li>
   Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
  </li>
  <li>
   Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
  </li>
  <li>
   Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
  </li>
  <li>
   Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
  </li>
  <li>
   Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Leadership &amp; Collaboration:
  </strong>
 </p>
 <ul>
  <li>
   Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
  </li>
  <li>
   Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
  </li>
  <li>
   Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
  </li>
  <li>
   Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
  </li>
  <li>
   Communicate complex technical concepts clearly to both technical and non-technical audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
  </li>
  <li>
   Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
  </li>
  <li>
   Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
  </li>
  <li>
   Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
  </li>
  <li>
   Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
  </li>
  <li>
   Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
  </li>
  <li>
   Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
  </li>
  <li>
   Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
  </li>
  <li>
   Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
  </li>
  <li>
   Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <ul>
  <li>
   Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
  </li>
  <li>
   Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
  </li>
  <li>
   Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
  </li>
  <li>
   Experience with Infrastructure as Code tools such as Terraform or Pulumi.
  </li>
  <li>
   Experience designing data models, analytical pipelines, or BI/dashboard solutions.
  </li>
  <li>
   Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <ul>
  <li>
   A competitive compensation and benefits package.
  </li>
  <li>
   The opportunity to lead AI and technology initiatives with real global impact.
  </li>
  <li>
   A dynamic and supportive work environment that values leadership, innovation, and your contributions.
  </li>
  <li>
   Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Application Process:
  </strong>
 </p>
 <p>
  Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Infomineo: Where brilliant minds meet to shape the future of business.
  </strong>
 </p>
 <p>
 </p>
</div>


AI & Analytics - Sr. Software Engineer with AI Background - Cairo

SpaceX

<div><div><p>SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.</p></div><p><b>
APPLICATION SOFTWARE ENGINEER, APPLIED AI</b></p>
<p>
The application software team is the central nervous system of SpaceX &ndash; we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.</p>
<p>
In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems&mdash;including large language models and agentic systems&mdash;that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.</p>
<p>
Aerospace experience is not required &ndash; rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations</li>
<li>Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities</li>
<li>Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production</li>
<li>Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions</li>
<li>Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment</li>
<li>Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost</li>
<li>Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs</li>
</ul>
<p><b>BASIC QUALIFICATIONS:</b></p>
<ul>
<li>Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree</li>
<li>1+ years of experience in full stack development</li>
</ul>
<p><b>PREFERRED SKILLS AND EXPERIENCE:</b></p>
<ul>
<li>Hands-on experience evaluating, deploying, and integrating AI models into production systems</li>
<li>Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features</li>
<li>Proven track record of shipping real-world AI products from prototype through production deployment and iteration</li>
<li>Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs</li>
<li>Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)</li>
<li>Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment</li>
<li>Previous experience in AI product design, development, integration, testing, and productionization</li>
<li>Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code</li>
<li>Programming experience in Python, C#.NET, Go, Scala, Java, or similar</li>
<li>Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)</li>
<li>Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)</li>
<li>Demonstrated ability to stay current with rapidly evolving AI technologies and best practices</li>
<li>Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment</li>
</ul>
<p><b>ADDITIONAL REQUIREMENTS:</b></p>
<ul>
<li>You may be asked to work extended hours/weekends dependent on launch cadence</li>
<li>This role requires you to be onsite. Remote and/or hybrid work will not be considered</li>
<li>Ability to pass Air Force background check for Cape Canaveral</li>
</ul><div><p><b>
ITAR REQUIREMENTS:</b></p>
<ul>
<li>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. &sect; 1157, or (iv) Asylee under 8 U.S.C. &sect; 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</li>
</ul>
<p>SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</p>
<p>
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com<i>.</i></p></div></div>

Application Software Engineer, Applied AI

BCG X

<div>
 Who We Are
 <br/>
 <br/>
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 <br/>
 <br/>
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 <br/>
 <br/>
 <strong>
  We Are BCG X
  <br/>
  <br/>
 </strong>
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 <br/>
 <br/>
 As an AI Software Engineer you&rsquo;ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 <br/>
 <br/>
 What You'll Bring
 <br/>
 <br/>
 We Are Looking For Talented Individuals With a Passion For Software Development, Large-scale Data Analytics And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 <br/>
 <br/>
 <ul>
  <li>
   Apply software development practices and standards to develop robust and maintainable software
  </li>
  <li>
   Actively involved in every part of the software development life cycle
  </li>
  <li>
   Experienced at guiding non-technical teams and consultants in and best practices for robust software development
  </li>
  <li>
   Optimize and enhance computational efficiency of algorithms and software design
  </li>
  <li>
   Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
  </li>
  <li>
   Enjoy collaborating in teams to share software design and solution ideas
  </li>
  <li>
   A natural problem-solver and intellectually curious across a breadth of industries and topics
  </li>
  <li>
   4+ years of relevant experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technologies
  <br/>
  <br/>
 </strong>
 Programming Languages: Python
 <br/>
 <br/>
 Additional info
 <br/>
 <br/>
 #BCGXjob
 <br/>
 <br/>
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 <br/>
 <br/>
 BCG is an E - Verify Employer. Click here  for more information on E-Verify.
</div>


Forward Deployed AI Engineer, Egypt - BCG X

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.<br>
<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
<b>Job Title: </b>Foundation Model Engineer<br>
<b>Location:</b> 100% Remote (U.S.)<br>
<b>Position Type:</b> Full-time, Direct W2<br>
<b>Salary Range:</b> $200,000&ndash;$230,000 Annually<br>
<b>Experience Required:</b> 6+ years<br>
<br>
<b>Sponsorship:</b> U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.<br>
<br>
<b>Job Summary:</b><br>
We are looking for an Foundation Model Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners &mdash; product, design, engineering, operations, and business stakeholders &mdash; to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.<br>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Develop, fine-tune, and optimize Large Language Models (LLMs) for enterprise AI applications.</li><li>
Design and implement end-to-end model training and fine-tuning pipelines using PyTorch, Hugging Face Transformers, and related frameworks.</li><li>
Prepare, clean, and curate training datasets for supervised fine-tuning and instruction tuning.</li><li>
Implement parameter-efficient fine-tuning techniques such as LoRA, QLoRA, and PEFT to improve training efficiency.</li><li>
Evaluate model performance using standard NLP benchmarks, automated metrics, and task-specific evaluations.</li><li>
Collaborate with data scientists, software engineers, and product teams to integrate LLM solutions into production applications.</li><li>
Optimize model inference performance, latency, and resource utilization for scalable deployment.</li><li>
Develop data preprocessing, feature engineering, and automation scripts using Python.</li><li>
Deploy and monitor machine learning models on cloud platforms using MLOps best practices.</li><li>
Troubleshoot model training issues, optimize hyperparameters, and improve overall model accuracy.</li><li>
Document technical designs, experiments, and implementation details for knowledge sharing.</li><li>
Stay current with advancements in Generative AI, transformer architectures, and open-source LLM technologies.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li>
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Equivalent industry experience will also be considered.</li><li>
6+ years of experience in Machine Learning or AI engineering, including at least 2 years working with Large Language Models (LLMs) or Generative AI.</li><li>
Strong programming skills in Python.</li><li>
Hands-on experience with PyTorch and Hugging Face Transformers.</li><li>
Experience fine-tuning open-source LLMs such as Llama, Mistral, Falcon, Gemma, or similar transformer-based models.</li><li>
Knowledge of parameter-efficient fine-tuning techniques including LoRA, QLoRA, or PEFT.</li><li>
Experience building data preprocessing and model training pipelines.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) concepts.</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Working knowledge of Docker, Kubernetes, Git, and CI/CD practices.</li><li>
Strong analytical, problem-solving, and debugging skills.</li><li>
Excellent communication and collaboration skills.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li>
Experience with LangChain, LlamaIndex, DSPy, or similar LLM orchestration frameworks.</li><li>
Familiarity with distributed model training technologies such as DeepSpeed or FSDP.</li><li>
Experience deploying LLMs using vLLM, TensorRT-LLM, or ONNX Runtime.</li><li>
Knowledge of ML lifecycle and MLOps tools such as MLflow, Kubeflow, or Weights &amp; Biases.</li><li>
Experience building enterprise AI chatbots, copilots, document intelligence, or RAG-based applications.</li><li>
Exposure to prompt engineering, AI evaluation frameworks, and LLM safety best practices.</li><li>
Contributions to open-source AI or machine learning projects are a plus.</li><li>
Experience working in Agile software development environments.</li></ul><br>
<b>
How to Apply</b><br>
<br>
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.<br>
<br>
Bright Vision Technologies is an Equal Opportunity Employer<p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>o0lZENGJ0U</p></div>

Foundation Model Engineer

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