automation software engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Operations is at the heart of Amazon&rsquo;s business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability &amp; Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! 
 
About the Role: 
As an Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll collaborate with cross-functional teams to optimize material handling equipment (MHE) systems and implement innovative projects. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy. 
 
What Do We Offer? 
Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there&rsquo;s more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety!<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience</li><li>Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays</li><li>Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience</li><li>Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience</li><li>Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience</li><li>Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of Ladder Logic and structured programming from Siemens, Allen-Bradley, or Codesys PLCs experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with HMI and control network components, including maintenance, troubleshooting, programming and design</li><li>Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components</li><li>Experience with preventive maintenance procedures, industrial electrical, industrial controls, and industrial electronics &amp; robotics</li><li>Experience interpreting and modifying mechanical and electrical drawings</li><li>Experience programming with RSLogix5000, Studio 5000, FT View, and other controls software platforms</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, GA, Appling - 90,000.00 - 112,500.00 USD annually</div>

Automation Engineer, AGS1

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

D.A. Davidson Companies

<div>
 D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients&rsquo; financial well-being, we also work to strengthen local communities&mdash;and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.
 
 
 
 Summary/Function:
 
 
 We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Education &amp; Experience: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles
 </li>
 <li>
 Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services)
 </li>
 <li>
 Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration
 </li>
 <li>
 Cloud &amp; AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.)
 </li>
 <li>
 DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes
 </li>
 <li>
 Problem-Solving &amp; Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members
 </li>
 <li>
 Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more
 
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio - for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot&rsquo;s advanced features (custom actions, agent-to-agent workflows)
 </li>
 <li>
 Advanced AI &amp; ML Skills: Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&amp;A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more
 </li>
 <li>
 Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them
 </li>
 <li>
 Security &amp; Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft&rsquo;s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use
 </li>
 <li>
 Innovation &amp; Leadership: Demonstrated initiative in previous roles - maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current
 </li>
 <li>
 Lean and Agile background: Lots of experience working in highly-iterative development processes. You understand the principles of them but aren&rsquo;t married to any particular methodology
 </li>
 <li>
 Patience: Somebody prepared to deal with the boring and the tough. Every minute of every day in an AI role isn&rsquo;t always deploying new models and agents. An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day
 
 
 
 
 </li>
 </ul>
 The following is required from all associates of D.A. Davidson Companies:
 
 
 
 <ul>
 <li>
 Commitment to maintain client confidentiality and data security
 </li>
 <li>
 Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
 </li>
 <li>
 Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
 </li>
 <li>
 Ability to maintain regular, predictable attendance
 
 
 
 
 </li>
 </ul>
 
 Duties:
 
 
 
 <ul>
 <li>
 Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making
 </li>
 <li>
 Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval)
 </li>
 <li>
 Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed
 </li>
 <li>
 Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations
 </li>
 <li>
 DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues
 </li>
 <li>
 Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants&rsquo; effectiveness
 </li>
 <li>
 Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders
 
 
 
 
 </li>
 </ul>
 
 What do we offer:
 
 
 Competitive salary plus excellent benefits and perks including, but not limited to:
 
 
 
 <ul>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Company 401(k)and ESOP contribution
 </li>
 <li>
 Generous sick, vacation, and maternity/parental leave
 </li>
 <li>
 Paid holidays
 </li>
 <li>
 Professional Development Opportunities
 </li>
 <li>
 Tuition Reimbursement ($15,000 lifetime cap)
 </li>
 <li>
 Discounted personal insurance including home, auto and recreational vehicles
 </li>
 <li>
 Charitable gift-matching program
 </li>
 <li>
 Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work
 
 
 
 
 </li>
 </ul>
 The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs.
 
 
 At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation 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 accommodation.
 
 
 
 ACKNOWLEDGMENT
 
 
 Please answer all questions carefully. By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson&rsquo;s California Resident Privacy Policy.
</div>

AI & Automation Engineer

Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

Jadeer

<div><h2 class="jobSectionHeader">About the Role</h2>
We are looking for an Applied AI Engineer to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
This is an AI-first engineering role, where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, and deploy AI-powered applications using LLMs.</li><li>
Build and optimize RAG and GraphRAG pipelines.</li><li>
Develop AI agents and multi-agent workflows for business automation.</li><li>
Design and manage knowledge graphs using GraphDB technologies.</li><li>
Integrate enterprise data sources with AI applications.</li><li>
Engineer prompts, workflows, and agent orchestration for reliable AI systems.</li><li>
Evaluate and optimize AI models for quality, latency, scalability, and cost.</li><li>
Build production-ready APIs and AI services.</li><li>
Collaborate with cross-functional teams to deliver AI-driven products.</li><li>
Stay up to date with the latest AI models, frameworks, and best practices.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.</li><li>
3+ years of experience developing AI-powered or data-intensive applications.</li><li>
Strong proficiency in Python.</li><li>
Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).</li><li>
Experience implementing Retrieval-Augmented Generation (RAG).</li><li>
Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.</li><li>
Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.</li><li>
Experience integrating AI models through APIs and SDKs.</li><li>
Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).</li><li>
Strong analytical, debugging, and problem-solving skills.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with GraphRAG architectures.</li><li>
Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.</li><li>
Experience with Model Context Protocol (MCP).</li><li>
Prompt engineering and AI evaluation frameworks.</li><li>
Knowledge of semantic search and hybrid retrieval.</li><li>
Experience with FastAPI, Django, or Flask.</li><li>
Familiarity with Kubernetes, CI/CD pipelines, and microservices.</li><li>
Experience building knowledge graphs and ontology design.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Opportunity to build cutting-edge AI products.</li><li>
Collaborative and innovative engineering environment.</li><li>
Exposure to the latest AI technologies and frameworks.</li><li>
Professional growth and continuous learning opportunities.</li><li>
Competitive salary and benefits package.</li></ul><h2 class="jobSectionHeader">
Join Our Team</h2>
If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!</div>

Applied AI Engineer (AI-First / Vibe Coding)

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.
 
 
 
 Position Overview
 
 
 
 We are looking for a passionate
 
 AI/ML Software Engineer
 
 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.
 
 
 
 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 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.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Why Us
 
 
 
 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!
 
 
 
 Compensation &amp; Benefits
 
 
 
 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/
 
 
 
 Diversity &amp; Inclusion
 
 
 
 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.
 
 
 Siemens Software. Transform the Everyday
 
 
</div>

AI/ML Software Engineer

Arrow Electronics

<div>
 
 
 Position:
 
 
 
 
 Senior Automotive Software Engineer (Avelabs LLC Egypt)
 
 
 
 
 Job Description:
 
 
 
 
 Avelabs (an Arrow Company), a leading automotive software engineering services provider, is seeking a skilled and motivated Automotive Software Engineer with expertise in AUTOSAR integration to join our dynamic engineering team. The ideal candidate will have extensive experience in AUTOSAR BSW along with a solid understanding of automotive standards like ISO26262 and ASPICE.
 
 
 
 
 Job Description
 
 
 
 
 <ul>
 <li>
 Requirements analysis and embedded software design for the automotive industry.
 </li>
 <li>
 Support and develop complete software architecture.
 </li>
 <li>
 Integrate different AUTOSAR platforms with end customers' applications.
 </li>
 <li>
 Configure embedded basic software components.
 </li>
 <li>
 Develop application software components.
 </li>
 <li>
 Responsible for technical communication with the customers.
 </li>
 <li>
 Provide consultancy and support to customers.
 </li>
 <li>
 Coach other team members and prepare training if needed.
 </li>
 <li>
 Enhance the engineering process for higher efficiency and quality.
 </li>
 <li>
 Propose and work on innovative solutions for the future of automotive technologies.
 </li>
 <li>
 Maintain Avelabs quality standards for project's deliverables.
 </li>
 <li>
 Work in a challenging environment with a real mixed nature of research and development.
 </li>
 <li>
 Set and support together with the team an open and innovative environment.
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 <ul>
 <li>
 3+ years of experience in automotive embedded systems.
 </li>
 <li>
 University degree in Computers or Electronics Engineering.
 </li>
 <li>
 Embedded software architecture design experience.
 </li>
 <li>
 AUTOSAR configuration and integration experience.
 </li>
 <li>
 Excellent embedded C programming skills.
 </li>
 <li>
 Deep knowledge of embedded systems and microcontrollers.
 </li>
 <li>
 Knowledge of communication protocols widely used in the automotive industry, e.g., CAN, LIN, FlexRay.
 </li>
 <li>
 Multicore solutions on embedded systems platforms is a plus.
 </li>
 <li>
 Excellent command of English (written and spoken).
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Maadi Technology Park)
 
 
 
 
 Time Type:
 
 
 
 
 Full time
 
 
 
 
 Job Category:
 
 
 
 
 Engineering Services
</div>

Senior Automotive Software Engineer (Avelabs LLC Egypt)

Search 4123+ Automation software engineer jobs near you this August. New roles added regularly across leading industries. Apply today.

4123 automation software engineer jobs Near Me

Automation Engineer, AGS1

AI / ML Engineer

AI & Automation Engineer

AI / ML Engineer

Applied AI Engineer (AI-First / Vibe Coding)

AI/ML Software Engineer

Senior Automotive Software Engineer (Avelabs LLC Egypt)