senior ai engineer

senior software engineer

data engineer

machine learning engineer

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ai software engineer

Advansys Intelligent Solutions

<div>
 
 About The Role
 
 
 
 We are seeking an experienced
 
 AI Software Engineer
 
 to lead the development of intelligent software solutions across our industrial applications. This role bridges modern AI technologies (LLMs, predictive analytics, edge AI) with scalable software engineering practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with Development Managers to identify AI/ML opportunities
 </li>
 <li>
 Conduct feasibility studies for AI-enhanced system upgrades
 </li>
 <li>
 Design scalable, microservices-based software architectures
 </li>
 <li>
 Architect AI inference systems optimized for cloud deployment
 </li>
 <li>
 Design and implement Retrieval-Augmented Generation (RAG) pipelines
 </li>
 <li>
 Develop predictive maintenance models using sensor data
 </li>
 <li>
 Implement real-time anomaly detection solutions
 </li>
 <li>
 Contribute to digital twin and energy optimization initiatives
 </li>
 <li>
 Write secure, clean, and production-grade code
 </li>
 <li>
 Review code with focus on AI safety, performance, and scalability
 </li>
 <li>
 Manage project timelines and deliverables
 </li>
 <li>
 Document AI model behavior, limitations, and system architecture
 </li>
 <li>
 Train staff on AI-assisted workflows and system usage
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, or related field
 </li>
 <li>
 3-7 years of professional software development experience
 </li>
 <li>
 Strong expertise in Object-Oriented Design, Microservices architecture, and scalable system design
 </li>
 <li>
 Advanced programming skills in Python (preferred) plus one of: Node.js, Java, or C#
 </li>
 <li>
 Hands-on experience integrating AI/ML models into production systems
 </li>
 <li>
 Experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering
 </li>
 <li>
 Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines
 </li>
 <li>
 Familiarity with AI frameworks such as LangChain, Semantic Kernel, TensorFlow, or PyTorch
 </li>
 <li>
 Experience with SQL (SQL Server or PostgreSQL) and vector databases (ChromaDB, Pinecone, or pgvector)
 </li>
 <li>
 Cloud deployment experience (Azure AI Studio, Azure Cognitive Services, or AWS Bedrock)
 </li>
 <li>
 Knowledge of CI/CD pipelines, Git, and Agile methodologies
 </li>
 <li>
 Experience conducting code reviews and mentoring developers
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Annual bonus
 </li>
 <li>
 Health insurance and wellness programs
 </li>
 <li>
 Professional development and training opportunities
 </li>
 </ul>
</div>

AI Software Engineer

<div>About the Role
We are seeking an experienced AI Software Engineer to lead the development of intelligent software solutions across our industrial applications. This role bridges modern AI technologies (LLMs, predictive analytics, edge AI) with scalable software engineering practices.
Key Responsibilities<ul><li>
Collaborate with Development Managers to identify AI/ML opportunities
</li><li>Conduct feasibility studies for AI-enhanced system upgrades
</li><li>Design scalable, microservices-based software architectures
</li><li>Architect AI inference systems optimized for cloud deployment
</li><li>Design and implement Retrieval-Augmented Generation (RAG) pipelines
</li><li>Develop predictive maintenance models using sensor data
</li><li>Implement real-time anomaly detection solutions
</li><li>Contribute to digital twin and energy optimization initiatives
</li><li>Write secure, clean, and production-grade code
</li><li>Review code with focus on AI safety, performance, and scalability
</li><li>Manage project timelines and deliverables
</li><li>Document AI model behavior, limitations, and system architecture
</li>Train staff on AI-assisted workflows and system usage 
<li>
</li></ul> 
 
Requirements 
<ul><li><ul><li>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Artificial Intelligence, or related field
</li><li>3&ndash;7 years of professional software development experience
</li><li>Strong expertise in Object-Oriented Design, Microservices architecture, and scalable system design
</li><li>Advanced programming skills in Python (preferred) plus one of: Node.js, Java, or C#
</li><li>Hands-on experience integrating AI/ML models into production systems
</li><li>Experience working with LLM APIs (OpenAI, Azure OpenAI, Anthropic) and prompt engineering
</li><li>Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines
</li><li>Familiarity with AI frameworks such as LangChain, Semantic Kernel, TensorFlow, or PyTorch
</li><li>Experience with SQL (SQL Server or PostgreSQL) and vector databases (ChromaDB, Pinecone, or pgvector)
</li><li>Cloud deployment experience (Azure AI Studio, Azure Cognitive Services, or AWS Bedrock)
</li><li>Knowledge of CI/CD pipelines, Git, and Agile methodologies
</li><li>Experience conducting code reviews and mentoring developers
</li><li>Strong analytical, problem-solving, and communication skills</li></ul></li></ul> 

Benefits 
<ul><li>
Annual bonus
</li></ul><ul><li>Health insurance and wellness programs
</li><li>Professional development and training opportunities</li></ul></div>

Siemens

<div>
 
 Siemens Digital Industries Software - Where today meets tomorrow.
 
 
 
 
 Let's make the difference together!
 
 
 
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation&mdash; helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 
 
 We are looking for passionate Senior AI/ML Software Professionals / Engineers who will be a member of our technology and innovation team responsible for new technology development and innovation projects within our organization.
 
 
 
 Key Responsibilities:
 
 
 
 <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 all the following areas: LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc.
 </li>
 <li>
 Work with partners and customers to create the highest quality and cost-effective solutions.
 </li>
 <li>
 Drive the software production process; own given features from beginning to end, from mockups &amp; design documents/reviews to acceptance testing and deployment.
 </li>
 <li>
 Produce high-quality and innovative deliverables for our development teams and customers.
 </li>
 <li>
 Conform to Siemens processes, quality standards, and guidelines.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Skills:
 
 
 
 <ul>
 <li>
 BSc., MSc. or Ph.D. in Computer Engineering, Computer Science, Mathematics, or in related areas
 </li>
 <li>
 Experience in developing web applications for diverse industries is a must.
 </li>
 <li>
 Minimum of 4 years of professional experience in a similar role is required.
 </li>
 <li>
 Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, is a must, and knowledge of UI frameworks like ReactJS and Angular is a plus.
 </li>
 <li>
 Understanding of data structures, data modeling, and software architecture
 </li>
 <li>
 Hands-on experience in experience in web/cloud and mobile application development for AI, ML-based solutions.
 </li>
 <li>
 Hands-on experience in designing and developing software applications for web/cloud and IoT platforms (AWS, Google Cloud, Microsoft Azure, or IBM Bluemix, etc.) is required.
 </li>
 <li>
 Hands-on experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) is a plus.
 </li>
 <li>
 Knowledge of virtualization technologies like Docker, and Kubernetes is a plus.
 </li>
 <li>
 Passionate about developing simple, clean, and attractive code.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Proficiency in English
 
 
 </li>
 </ul>
 
 We are Siemens
 
 
 
 A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
 
 
 Transform the everyday
 
 
 
 Working at Siemens Software
 
 
 
 
 Why us?
 
 
 
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
</div>

Senior AI/ML Software Engineer

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 We are seeking a passionate and skilled Software Engineer to join our team in building cutting-edge AI-driven applications. You will be responsible for designing, developing, and deploying scalable microservices that integrate with large language models (LLMs) and cloud-native infrastructure. This role is ideal for someone who thrives in a fast-paced environment and is excited about the future of AI.
 
 
 
 Key Responsibilities
 
 
 
 Design and implement scalable microservices using Python (and optionally Java).
 
 
 Apply object-oriented programming (OOP) principles and design patterns to build maintainable systems.
 
 
 Develop and optimize prompt engineering strategies for LLMs such as OpenAI and AWS Bedrock.
 
 
 Containerize applications using Docker and orchestrate them with Kubernetes.
 
 
 Integrate messaging systems like Kafka or RabbitMQ for asynchronous communication.
 
 
 Work with both SQL (PostgreSQL) and NoSQL (MongoDB) databases.
 
 
 Collaborate with cross-functional teams to define, design, and ship new features.
 
 
 Deploy and manage services on AWS, ensuring high availability and performance.
 
 
 Stay up to date with the latest advancements in GenAI and cloud technologies.
 
 
 
 Required Skills
 
 
 
 Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
 
 
 
 Minimum Of 4 Years Of Professional Experience.
 
 
 
 Outstanding English communication, both verbal and non-verbal.
 
 
 Proficiency in Python and solid understanding of OOP and design patterns.
 
 
 Experience with Docker and Kubernetes in production environments.
 
 
 Familiarity with message queues such as Kafka or RabbitMQ.
 
 
 Strong knowledge of microservices architecture.
 
 
 Experience with PostgreSQL and MongoDB.
 
 
 Hands-on experience with prompt engineering and working with LLMs (e.g., OpenAI, AWS Bedrock).
 
 
 Proficiency in AWS services (e.g., Lambda, ECS, S3, API Gateway).
 
 
 
 Preferred Qualifications
 
 
 
 Experience with Java is a plus.
 
 
 Familiarity with CI/CD pipelines and DevOps practices.
</div>

Senior Software Engineer

YO IT CONSULTING

<div>Engagement Type: Independent Contractor
Work Mode: Remote | Global 
Schedule: Part-Time (15&ndash;25 hrs/week, flexible up to 40 hrs) 
 Duration: 1&ndash;3 Months | Immediate Start
 <h2 class="jobSectionHeader">Role Overview</h2>
We are hiring experienced Software Engineers (Python-focused) to support high-impact research collaborations with leading AI labs.
In this project-based engagement, you will contribute to building training datasets that improve AI model reasoning and problem-solving across real-world coding tasks.
This is a unique opportunity to apply your software engineering expertise toward shaping the next generation of intelligent systems.
<h2 class="jobSectionHeader">About the Project</h2>
You will work on SWE-bench&ndash;style tasks derived from real open-source repositories.
Since frontier AI models do not expose their internal reasoning traces, your role will involve:
<ul><li>Reconstructing model reasoning
</li><li>Annotating solution trajectories
</li><li>Inferring thought processes behind debugging and implementation steps
</li></ul>You will use your own developer problem-solving approach to reconstruct and annotate realistic reasoning flows.
<h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Review model-generated code trajectories on realistic software engineering tasks
</li><li>Reconstruct step-by-step chain-of-thought reasoning
</li><li>Annotate debugging logic, decision points, and problem-solving strategies
</li><li>Use full context (codebase, issues, test cases) to infer plausible reasoning
</li><li>Ensure technical accuracy and alignment with real-world developer workflows
</li></ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<ul><li>2+ years of hands-on software engineering experience
</li><li>Strong debugging experience in real codebases
</li><li>Proficiency in Python (primary)
</li><li>Familiarity with JavaScript / TypeScript or other open-source languages (preferred)
</li><li>Experience with Git workflows (PRs, issue tracking)
</li><li>Ability to articulate technical reasoning clearly in writing
</li><li>Bachelor&rsquo;s degree in CS, Software Engineering, or related field
</li></ul><h2 class="jobSectionHeader">Ideal Candidate</h2>
<ul><li>Strong analytical thinker
</li><li>Comfortable explaining technical reasoning
</li><li>Detail-oriented and methodical
</li><li>Familiar with open-source contribution workflows
</li><li>Interested in AI and LLM research
 </li></ul><h2 class="jobSectionHeader">Application Process</h2>
1 Upload your resume 
2 Complete a short 15-minute AI interview 
3 Selected candidates receive onboarding details within a few days
<h2 class="jobSectionHeader">Contract &amp; Payment Terms</h2>
<ul><li>Independent Contractor Engagement
</li><li>Fully Remote
</li><li>Flexible schedule
</li><li>Weekly payments via Stripe or Wise
</li><li>Projects may be extended or concluded based on needs and performance
</li><li>No access to confidential employer data required</li></ul></div>

Python Developer - LLM

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 
 Senior Java Software Engineer
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Senior Java Software Engineer to build, enhance, and maintain scalable backend systems. You will work across the software development lifecycle, contribute to solution design, and deliver reliable, high-quality software that directly impacts business outcomes.
 
 
 This role focuses on strong Java engineering fundamentals, with exposure to modern cloud, DevOps, data, and AI-enabled integrations.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Java-based backend services across multiple releases.
 </li>
 <li>
 Implement new features, handle change requests, and resolve production defects.
 </li>
 <li>
 Estimate tasks accurately and deliver within agreed timelines.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following clean code principles.
 </li>
 <li>
 Debug and troubleshoot complex issues to identify root causes efficiently.
 </li>
 <li>
 Write unit tests using JUnit and follow test-driven development (TDD) practices.
 </li>
 <li>
 Participate in solution and technical design discussions, applying appropriate design patterns.
 </li>
 <li>
 Develop and maintain RESTful APIs.
 </li>
 <li>
 Collaborate closely with team members and cross-functional teams (QA, DevOps).
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment processes using existing DevOps tooling.
 </li>
 <li>
 Continuously learn and adopt new technologies relevant to backend engineering.
 
 
 </li>
 </ul>
 
 DevOps &amp; Deployment (Expected Exposure, Not Ownership)
 
 
 
 <ul>
 <li>
 Work with Docker-based deployments across different environments.
 </li>
 <li>
 Integrate applications into existing CI/CD pipelines (Jenkins, Kubernetes).
 </li>
 <li>
 Support smooth releases and environment stability in collaboration with DevOps teams.
 
 
 </li>
 </ul>
 
 Security &amp; Quality
 
 
 
 <ul>
 <li>
 Apply secure coding practices and follow OWASP Top 10 guidelines.
 </li>
 <li>
 Implement authentication and authorization using JWT / OAuth2.
 </li>
 <li>
 Ensure high code quality through reviews, testing, and automation.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 5+ years of professional experience in Java software development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Core Technical Skills (Must-Have)
 
 
 
 <ul>
 <li>
 Java: Java 17 or Java 21
 </li>
 <li>
 Spring Ecosystem: Spring, Spring Boot, Spring Data, Spring Security, Spring Cloud
 </li>
 <li>
 Architecture: OOP principles, design patterns, clean code
 </li>
 <li>
 Databases: Oracle or MySQL, database design, ERD
 </li>
 <li>
 ORM: JPA / Hibernate
 </li>
 <li>
 Testing: JUnit and unit testing practices
 </li>
 <li>
 APIs: RESTful web services
 </li>
 <li>
 Messaging: Apache Kafka
 </li>
 <li>
 Build &amp; Version Control: Maven, Git
 </li>
 <li>
 Developer Productivity Tools: Windsurf
 </li>
 <li>
 Experience integrating Generative AI or LLM APIs into backend systems.
 </li>
 <li>
 Interest in applying AI to improve automation, data processing, or developer productivity is highly valued.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 
 
 (Experience in these areas is a plus, not a requirement)
 
 
 
 
 <ul>
 <li>
 Search &amp; Indexing: Elasticsearch
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana
 </li>
 <li>
 Big Data: Apache Spark.
 </li>
 <li>
 Cloud Platforms: AWS
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful systems with real business value.
 </li>
 <li>
 Exposure to modern backend architecture, cloud-native tools, and AI-enabled solutions.
 </li>
 <li>
 Collaborative engineering culture with strong technical ownership.
 </li>
 <li>
 Continuous learning and professional growth.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

FlairsTech

<div><div><div><div>Requirements and responsibilities<div><h1 class="jobSectionHeader"> 
</h1><h2 class="jobSectionHeader">
Senior Software Engineer - AI-First Product Development</h2><h2 class="jobSectionHeader">
Role Overview</h2>
We're looking for a Senior Software Engineer who thrives at the intersection of classical engineering excellence and AI-augmented development. You'll architect and build enterprise-scale applications while leveraging cutting-edge AI tooling to accelerate delivery and unlock new product possibilities. This isn't about replacing engineering judgment with AI&mdash;it's about amplifying your impact through agentic workflows, faster iteration cycles, and more thoughtful system design. You'll shape both our technical foundation and our approach to building in the AI era.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and build scalable backend services using NestJS and Node.js that support millions of requests with 99.9%+ uptime</li><li>
Develop modern frontend experiences with Next.js/React that balance performance, accessibility, and user delight</li><li>
Drive architectural decisions across the stack, from data models to API contracts to deployment strategies</li><li>
Architect robust, maintainable systems applying design patterns (SOLID, DDD, microservices) and scalability patterns (caching, load balancing, distributed systems)</li><li>
Leverage AI development tools (Cursor, Claude Code, etc.) to accelerate implementation while maintaining code quality and security standards</li><li>
Own CI/CD pipelines and DevOps practices&mdash;build, test, deploy, and monitor with automation and reliability</li><li>
Solve complex technical problems with creativity and pragmatism&mdash;debugging production issues, optimizing performance bottlenecks, and unblocking team challenges</li><li>
Collaborate cross-functionally with product, design, and stakeholders to translate ambiguous requirements into shipped features</li><li>
Mentor team members on both technical craft and effective use of AI-assisted development workflows</li><li>
Own features end-to-end&mdash;from ideation through production monitoring and iterative improvement</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2>
Critical requirements (must demonstrate all):<ul><li>
5+ years of professional software engineering experience with deep expertise in the Node.js ecosystem</li><li>
Production experience with NestJS for backend services and Next.js/React for frontend applications</li><li>
Strong foundation in software architecture patterns (MVC, microservices, event-driven, layered architecture) and design patterns (Factory, Strategy, Observer, Dependency Injection, etc.)</li><li>
Expertise in scalability patterns: caching strategies, load balancing, horizontal/vertical scaling, database optimization, CDN usage, and distributed systems concepts</li><li>
Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI) including automated testing, deployment strategies, and infrastructure as code</li><li>
Proven problem-solving ability: Track record of debugging complex issues, optimizing system performance, and making sound technical decisions under pressure</li><li>
Proven track record building and maintaining enterprise-scale applications that serve real users with reliability and performance requirements</li><li>
Active proficiency with AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or similar)&mdash;you should be fluent in prompting, context management, and knowing when AI accelerates vs. where human judgment is essential</li><li>
Understanding of agentic workflows and AI-first development patterns&mdash;you've experimented with or adopted new paradigms like test generation, automated refactoring, or AI-assisted code review</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2>
High-value skills that strengthen your candidacy:<ul><li>
Multi-language proficiency: Experience with Python, C#, or Java beyond Node.js demonstrates adaptability and broader systems thinking</li><li>
Product mindset: History of making strategic technical decisions that balanced user needs, business goals, and technical constraints</li><li>
Comfort with ambiguity: Track record in early-stage startups, R&amp;D teams, or 0-to-1 product development where you've defined both the &quot;what&quot; and the &quot;how&quot;</li><li>
Communication excellence: Ability to explain complex technical concepts to non-technical stakeholders and write clear documentation</li></ul><h2 class="jobSectionHeader">
Bonus Differentiators</h2>
What makes you stand out:<ul><li>
Contributions to AI/ML tooling, agentic systems, or LLM-powered applications</li><li>
Experience scaling systems 10x or more (users, traffic, data volume)</li><li>
Published technical writing, conference talks, or meaningful open-source contributions</li><li>
Experience with [add company-specific tech: e.g., real-time systems, data pipelines, specific cloud platforms]</li></ul></div></div></div></div></div><div></div>

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