software engineer model based development power

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities~
 
 
 
 
 <ul>
 <li>
 Design/Review detailed requirements.
 </li>
 <li>
 Apply Valeo/general MBD standards &amp; guidelines.
 </li>
 <li>
 Perform data typing for all model signals &amp; blocks with respect to fixed point techniques.
 </li>
 <li>
 Generate C-code using Embedded coder toolbox.
 </li>
 <li>
 Design MATLAB testing scenarios for model verification.
 </li>
 <li>
 Perform Model in the loop verification.
 </li>
 <li>
 Perform Software in the loop verification (back to back testing).
 </li>
 <li>
 Develop tools to increase the efficiency of the MBD life cycle and the quality.
 </li>
 <li>
 Follow defined project processes/guidelines/checklists and ensure process conformance.
 </li>
 <li>
 Report work progress continuously through attendance of daily &amp; weekly project internal meetings.
 </li>
 <li>
 Contribute effectively in the continuous improvement of his/her project, team, and work environment by submitting improvement proposals whenever possible.
 </li>
 <li>
 Raise flags proactively for any issue that can impact his/her project or team.
 </li>
 <li>
 Communicate professionally and autonomously with the customer and the team members.
 </li>
 <li>
 Perform all the activities using the agreed internal/external configuration management tool.
 </li>
 <li>
 Provide technical trainings to team and other entities
 </li>
 <li>
 Perform technical review of MBD architectural design and software specification.
 </li>
 <li>
 Perform technical reviews on the different project&rsquo;s activities
 </li>
 <li>
 Coach and train other team member on MBD engineering methodology
 </li>
 <li>
 Develop software function list and organizing them into delivery phases to ensure maximum value delivered to the customer with each phase
 </li>
 <li>
 Review software specification with implementation and test functions
 </li>
 <li>
 Establish, update and maintain software risks and issues list
 </li>
 <li>
 Provide traceability to customer requirements
 </li>
 <li>
 Provide software deliverables on time and respect budget
 
 
 </li>
 </ul>
 
 
 Job Prerequisites~
 
 
 
 
 <ul>
 <li>
 2+ years of relevant experience
 </li>
 <li>
 Education ~ B.Sc. in Mechatronics, Electronics, Mechanical, or Electrical Engineering. M.Sc. or Ph.D. is a plus.
 </li>
 <li>
 Very Good MATLAB/Simulink/Stateflow Scripting and Modelling Skills with proven experience
 </li>
 <li>
 Good knowledge in Control Law and Thermodynamics
 </li>
 <li>
 Good knowledge about software engineering (requirement, design, development, verification and validation)
 </li>
 <li>
 Basic electronics knowledge
 </li>
 <li>
 Automatic Control, Motor Drives &amp; Electric Motors experience is a plus
 </li>
 <li>
 Automotive SPICE knowledge is a plus
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 Annual Contract
 
 
 
 Job Posting Date~
 
 
 
 2025-11-19
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Software engineer - Model Based Development, POWER

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design/Review detailed requirements.
 </li>
 <li>
 Apply Valeo/general MBD standards &amp; guidelines.
 </li>
 <li>
 Perform data typing for all model signals &amp; blocks with respect to fixed point techniques.
 </li>
 <li>
 Generate C-code using Embedded coder toolbox.
 </li>
 <li>
 Design MATLAB testing scenarios for model verification.
 </li>
 <li>
 Perform Model in the loop verification.
 </li>
 <li>
 Perform Software in the loop verification (back to back testing).
 </li>
 <li>
 Develop tools to increase the efficiency of the MBD life cycle and the quality.
 </li>
 <li>
 Follow defined project processes/guidelines/checklists and ensure process conformance.
 </li>
 <li>
 Report work progress continuously through attendance of daily &amp; weekly project internal meetings.
 </li>
 <li>
 Contribute effectively in the continuous improvement of his/her project, team, and work environment by submitting improvement proposals whenever possible.
 </li>
 <li>
 Raise flags proactively for any issue that can impact his/her project or team.
 </li>
 <li>
 Communicate professionally and autonomously with the customer and the team members.
 </li>
 <li>
 Perform all the activities using the agreed internal/external configuration management tool.
 </li>
 <li>
 Provide technical trainings to team and other entities
 </li>
 <li>
 Perform technical review of MBD architectural design and software specification.
 </li>
 <li>
 Perform technical reviews on the different project&rsquo;s activities
 </li>
 <li>
 Coach and train other team member on MBD engineering methodology
 </li>
 <li>
 Develop software function list and organizing them into delivery phases to ensure maximum value delivered to the customer with each phase
 </li>
 <li>
 Review software specification with implementation and test functions
 </li>
 <li>
 Establish, update and maintain software risks and issues list
 </li>
 <li>
 Provide traceability to customer requirements
 </li>
 <li>
 Provide software deliverables on time and respect budget
 
 
 </li>
 </ul>
 
 Job Prerequisites
 
 
 
 <ul>
 <li>
 2+ years of relevant experience
 </li>
 <li>
 Education : B.Sc. in Mechatronics, Electronics, Mechanical, or Electrical Engineering. M.Sc. or Ph.D. is a plus.
 </li>
 <li>
 Very Good MATLAB/Simulink/Stateflow Scripting and Modelling Skills with proven experience
 </li>
 <li>
 Good knowledge in Control Law and Thermodynamics
 </li>
 <li>
 Good knowledge about software engineering (requirement, design, development, verification and validation)
 </li>
 <li>
 Basic electronics knowledge
 </li>
 <li>
 Automatic Control, Motor Drives &amp; Electric Motors experience is a plus
 </li>
 <li>
 Automotive SPICE knowledge is a plus
 </li>
 </ul>
</div>

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Requirements Engineering &amp; Analysis~
 </li>
 <ul>
 <li>
 Collaborate with system architects and hardware teams to elicit, analyze, and document software requirements for power control, diagnostics, and communication features.
 </li>
 <li>
 Break down system-level specifications into clear, testable software requirements.
 </li>
 <li>
 Maintain requirement documents and ensure traceability from requirements to design and testing.
 </li>
 </ul>
 <li>
 Software Integration &amp; Release~
 </li>
 <ul>
 <li>
 Integrate software components, drivers, and application code from various teams into a cohesive and functional software build.
 </li>
 <li>
 Develop and maintain the software build environment, including build automation scripts (CMake, Python) and Continuous Integration (CI/CD) pipelines (Jenkins, GitLab).
 </li>
 <li>
 Manage source code repositories (Git), including branching, merging, and release tagging strategies.
 </li>
 <li>
 Flash integrated software onto target hardware (OBC, DCDC, etc.), perform initial hardware bring-up, and conduct smoke tests to verify core functionality.
 </li>
 </ul>
 <li>
 Architecture &amp; Design Support~
 </li>
 <ul>
 <li>
 Assist in the creation and documentation of software architecture and detailed design artifacts.
 </li>
 <li>
 Participate in design and code reviews to ensure requirements are met and architectural principles are followed.
 </li>
 <li>
 Support the link between high-level requirements and low-level implementation, ensuring a clear and logical flow.
 </li>
 </ul>
 <li>
 Cross-Functional Collaboration~
 </li>
 <ul>
 <li>
 Act as a key technical bridge between systems engineering, hardware design, software development, and validation teams.
 </li>
 <li>
 Investigate, analyze, and resolve complex software integration issues, build failures, and on-target problems.
 </li>
 <li>
 Contribute to process improvements across the software development lifecycle, championing best practices in line with standards like A-SPICE.
 
 </li>
 </ul>
 </ul>
 
 
 Required Qualifications~
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
 </li>
 <li>
 1+ years of experience in an embedded software development, integration, or systems engineering role.
 </li>
 <li>
 Solid programming skills in C.
 </li>
 <li>
 Strong understanding of the full software development lifecycle (e.g., V-Model, Agile/Scrum).
 </li>
 <li>
 Experience with version control systems, particularly Git.
 </li>
 <li>
 Proficiency in at least one scripting language (e.g., Python).
 </li>
 <li>
 Hands-on experience with build systems (e.g., Make/CMake) and compilers/linkers for embedded systems.
 </li>
 <li>
 Experience with software architecture and design modeling.
 </li>
 <li>
 Knowledge of AUTOSAR architecture, including experience with RTE (Runtime Environment) configuration.
 </li>
 <li>
 Excellent analytical and problem-solving skills with a hands-on, detail-oriented mindset.
 </li>
 <li>
 Strong communication and interpersonal skills to work effectively in a cross-functional team environment.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications~
 
 
 
 
 <ul>
 <li>
 Experience in the automotive industry, especially with power electronics like On-Board Chargers (OBC), DC-DC converters, or Inverters.
 </li>
 <li>
 Experience with requirements management tools (e.g.,Polarion)
 </li>
 <li>
 Hands-on experience with Continuous Integration (CI) framework and tools (e.g., Jenkins).
 </li>
 <li>
 Knowledge of software diagnostics (e.g., UDS, DTCs) and communication protocols (e.g., CAN, LIN).
 </li>
 <li>
 Familiarity with automotive software standards like AUTOSAR and functional safety (ISO 26262).
 </li>
 <li>
 Familiarity with process models like Automotive SPICE (A-SPICE).
 </li>
 <li>
 Experience with embedded microcontrollers (e.g., Infineon Aurix) and hardware debuggers (e.g., Lauterbach TRACE32, UDE).
 </li>
 <li>
 Understanding of model-based development (MBD) using tools like MATLAB/Simulink is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 Annual Contract
 
 
 
 Job Posting Date~
 
 
 
 2025-11-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Software Engineer - Integrator, POWER

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

Decima International

<div>
 Decima International is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International's founders established a simple yet powerful formula:
 
 
 Approach each client engagement as a
 
 partnership
 
 , create an environment that attracts the
 
 most talented professionals
 
 and allows them to flourish, and regulate
 
 growth
 
 to maintain
 
 excellence
 
 in our service standards.
 
 
 
 Decima International
 
 is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International's founders established a simple yet powerful formula:
 
 
 Approach each client engagement as a partnership, create an environment that attracts the most talented professionals and allows them to flourish, and regulate growth to maintain excellence in our service standards.
 
 
 We are looking for a driven and capable
 
 Mid-Level AI Engineer/Agentic Systems Developer
 
 to support the development of internal technology products. This role will write, configure, test, and maintain a growing library of autonomous AI agents designed to automate complex business workflows.
 
 
 Working under technical and product leadership, the successful candidate will translate functional workflow specifications into individual agents, tool integrations, data connections, and reliable automated processes. The ideal candidate has strong backend development capabilities and practical experience working with large language models, agentic frameworks, APIs, and retrieval-augmented generation pipelines.
 
 
 This is a highly hands-on development role focused on clean code execution, secure systems integration, continuous testing, effective debugging, and rapid iteration.
 
 
 We are looking to bring in dedicated individuals with a passion for innovation and talent for multitasking in a fast-paced environment. We will help you grow, pursue, and fulfill what inspires you so we can make big impacts on the world, together.
 
 
 
 RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Build and configure autonomous agent roles, task nodes, workflows, and conditional edges using frameworks such as LangGraph, CrewAI, and LlamaIndex.
 </li>
 <li>
 Integrate AI agents securely with internal databases and third-party platforms, including Slack, HubSpot, Salesforce, and Google Workspace, through APIs and function calling.
 </li>
 <li>
 Develop and refine retrieval-augmented generation pipelines, including data ingestion, text chunking, embedding generation, and vector database population.
 </li>
 <li>
 Diagnose and resolve agent failures involving context loss, malformed structured or JSON outputs, and incomplete multi-step tasks.
 </li>
 <li>
 Write automated unit tests for custom tools and monitor execution traces to identify and resolve edge-case failures.
 </li>
 <li>
 Maintain clean, reliable, and well-structured code while supporting continuous testing and rapid product iteration.
 
 
 </li>
 </ul>
 
 QUALIFICATIONS
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or related fields.
 </li>
 <li>
 
 2 to 4 years
 
 of professional experience in backend software development.
 </li>
 <li>
 
 At least 1 year
 
 of practical experience working directly with large language model APIs and prompt construction.
 </li>
 <li>
 Strong familiarity with agentic AI frameworks such as LangGraph, CrewAI, or LlamaIndex.
 </li>
 <li>
 Solid understanding of structural prompt design, including generating reliable JSON and other structured outputs.
 </li>
 <li>
 High proficiency in Python, including a practical understanding of asynchronous programming concepts.
 </li>
 <li>
 Experience developing and integrating RESTful APIs using FastAPI, Flask, or similar frameworks.
 </li>
 <li>
 Proficiency in version control and collaborative software development using Git.
 </li>
 <li>
 Working knowledge of relational databases, preferably PostgreSQL.
 </li>
 <li>
 Foundational experience using vector databases or stores such as Chroma or Pinecone for data retrieval.
 </li>
 <li>
 Experience integrating software applications with databases, APIs, and third-party platforms.
 </li>
 <li>
 Strong debugging, analytical, testing, documentation, and problem-solving skills.
 </li>
 <li>
 Ability to translate functional workflow requirements into reliable technical implementations.
 </li>
 <li>
 Ability to work independently, manage development priorities, and iterate quickly in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience developing autonomous agents or multi-agent workflows for practical business use cases.
 </li>
 <li>
 Experience implementing retrieval-augmented generation applications and data-ingestion pipelines.
 </li>
 <li>
 Experience with secure function calling and integrations involving business platforms such as Slack, HubSpot, Salesforce, or Google Workspace.
 </li>
 <li>
 Experience testing, tracing, and monitoring multi-step AI workflows in development or production environments.
 </li>
 <li>
 Familiarity with prompt evaluation, structured-output validation, and common large language model failure patterns.
 </li>
 <li>
 Experience contributing to the development of internal technology products or workflow-automation solutions.
 
 
 </li>
 </ul>
 
 POSITION DETAILS
 
 
 
 <ul>
 <li>
 
 Primary Location (Office-based):
 
 Heliopolis, Cairo, Egypt
 </li>
 <li>
 
 Position:
 
 Mid-Level AI Engineer/Agentic Systems Developer
 </li>
 <li>
 
 Position Classification:
 
 Salary-based full-time hours
 
 
 </li>
 </ul>
 
 PRODUCTIVITY TOOLS
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 LangGraph
 </li>
 <li>
 CrewAI
 </li>
 <li>
 LlamaIndex
 </li>
 <li>
 FastAPI
 </li>
 <li>
 Flask
 </li>
 <li>
 Git
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 Chroma
 </li>
 <li>
 Pinecone
 </li>
 <li>
 Microsoft Office
 </li>
 <li>
 Microsoft 365
 
 
 </li>
 </ul>
 Decima International is an Equal Opportunity Employer that is committed to the safety and well-being of all. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.
</div>

Mid-Level AI Engineer/Agentic Systems Developer (On-site) - Cairo, Egypt

Infomineo

<div>
 
 
 About us
 
 
 
 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:
 
 
 
 
 <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>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 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>
 
 Work with Global Leaders:
 
 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>
 
 Lead in AI &amp; Technology:
 
 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>
 
 Thrive in a Collaborative Culture:
 
 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>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 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.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <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>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <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>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <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>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <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>
 
 
 
 
 
 Qualifications:
 
 
 <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>
 
 
 
 
 
 Preferred Skills:
 
 
 <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>
 
 
 
 
 
 What we offer:
 
 
 <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>
 
 
 
 
 
 Application Process:
 
 
 
 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.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

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

<div>
 
 
 About us
 
 
 
 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:
 
 
 
 
 <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>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 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>
 
 Work with Global Leaders:
 
 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>
 
 Lead in AI &amp; Technology:
 
 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>
 
 Thrive in a Collaborative Culture:
 
 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>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as a
 
 Senior AI Software Engineer
 
 . In this role, you will take ownership of the design, development, and deployment of AI-powered web applications that serve our internal teams and global clients. You will lead technical initiatives, define architectural standards, and mentor junior engineers, while working across the full stack from application code to AI integration and cloud infrastructure.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Application Development:
 
 
 <ul>
 <li>
 Architect and lead the development of scalable, production-grade web applications, primarily using Python (FastAPI) for the backend and React, Next.js, or Vue for the frontend, while remaining adaptable to other technologies based on project scope and requirements.
 </li>
 <li>
 Define and enforce coding standards, design patterns, and architectural best practices across the engineering team to ensure maintainability and scalability.
 </li>
 <li>
 Lead code reviews, provide technical feedback to junior engineers, and actively contribute to building a high-quality engineering culture.
 </li>
 <li>
 Collaborate with stakeholders and product teams to translate business requirements into robust technical solutions, owning features end-to-end.
 </li>
 </ul>
 
 
 
 
 
 AI &amp; LLM Integration:
 
 
 <ul>
 <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 and performance in production.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, and query optimization for large-scale enterprise use cases.
 </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>
 Design and maintain robust REST API integrations with third-party AI services and enterprise SaaS platforms, ensuring data integrity and performance at scale.
 </li>
 <li>
 Implement LLM observability and monitoring strategies to ensure transparency, reliability, and continuous improvement of AI features in production environments.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; DevOps:
 
 
 <ul>
 <li>
 Lead the containerization and cloud deployment of applications, preferably on Google Cloud Platform (GCP) using GKE and Artifact Registry, while remaining open to other cloud environments based on project requirements.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools, applying GitOps principles and automated deployment workflows to ensure reliable and repeatable releases.
 </li>
 <li>
 Own the reliability and performance of production environments, proactively identifying bottlenecks and driving resolution of infrastructure and application issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in software engineering and AI development, with a proven track record of delivering production-grade web applications and AI-powered systems.
 </li>
 <li>
 Strong proficiency in Python and a backend framework (preferably FastAPI), with solid experience in a modern frontend framework such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, and production-grade AI service integration (e.g., OpenAI, Gemini, LangChain or equivalent), including observability and performance monitoring.
 </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>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform (AWS, Azure, GCP, or equivalent), with familiarity with container orchestration and artifact management services.
 </li>
 <li>
 Proven experience designing and maintaining CI/CD pipelines using GitHub Actions or similar tools, with strong command of GitOps workflows and branching strategies.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior engineers, and collaborate effectively with product teams and non-technical stakeholders.
 </li>
 <li>
 Experience integrating AI outputs into analytical workflows, dashboards, or data pipelines in a client delivery context.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <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, and embedding model optimization for production environments.
 </li>
 <li>
 Experience with Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Developer or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <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>
 
 
 
 
 
 Application Process:
 
 
 
 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.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

Data Analytics - Sr. Software Engineer with AI background - Cairo

Explore 173+ Software engineer model based development power in Cairo this July. Find roles across top companies and apply now to boost your career.

173 software engineer model based development power jobs In Cairo

Software engineer - Model Based Development, POWER

Software engineer - Model Based Development, POWER

Software Engineer - Integrator, POWER

Senior Machine Learning Engineer

Mid-Level AI Engineer/Agentic Systems Developer (On-site) - Cairo, Egypt

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

Data Analytics - Sr. Software Engineer with AI background - Cairo