(senior) quality assurance engineer (m/f/d)

technical support engineer

(senior) quality assurance engineer (m/f/d) Jobs in Cairo

ai automation engineer

ai engineer - remote

ai product engineer

quality assurance engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5386
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 The &ldquo;DSC&rdquo; (Device and Site Control) team develops the control unit of each sonnenBatterie. The most important tasks are conception, planning, development and maintenance of the software. The team works according to the agile methods of the SCRUM framework. A team consists of architects, software developers and software testers located in M&aacute;laga (Spain) and Wildpoldsried (Germany).
 
 
 As part of the &ldquo;DSC Testing&rdquo; team, you will create new test cases for testing the correct behaviour of our sonnenBatteries as well as designing, implementing and updating the testing repository of our sonnenBatteries. In the testing team we also take care of the test automation framework, the documentation and the good state of our systems with new software versions on residential and industrial battery systems.
 
 
 
 What You Will Do To Help Drive Energy Transition
 
 
 
 <ul>
 <li>
 Developing the test specification, test procedures and test tools for the automated tests of the sonnenBatterie in python.
 </li>
 <li>
 Support and further development of the test hardware for automated software tests.
 </li>
 <li>
 Direct collaboration with the software developers in the SCRUM team.
 </li>
 <li>
 Creation of the test specification, execution of the manual and automated tests as well as reporting.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Successfully completed studies in the field of electronics, computer science or with comparable experience.
 </li>
 <li>
 You strive for a high degree of automation.
 </li>
 <li>
 Experience in Python development and/or test automation is desirable.
 </li>
 <li>
 Experience with inverters or battery systems
 </li>
 <li>
 Ability to work in a team, strong communication skills as well as a goal and solution-oriented way of thinking and working.
 </li>
 <li>
 Written and spoken fluency in English.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Testing, Computer Science, Technology
</div>

Test Engineer (m/w/d)

<div>
 
 We are currently seeking a
 
 French Quality Assurance Analyst
 
 to join our growing team. This role is ideal for professionals who are passionate about quality, customer experience, process improvement, and operational excellence within a contact center environment.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Evaluate customer interactions across multiple channels, including voice, email, chat, social media, and other customer support platforms.
 </li>
 <li>
 Conduct objective and independent quality assessments to ensure compliance with quality standards and client expectations.
 </li>
 <li>
 Participate in calibration sessions to maintain consistency and accuracy in evaluations.
 </li>
 <li>
 Provide detailed feedback and actionable recommendations to improve agent performance and customer satisfaction.
 </li>
 <li>
 Identify operational risks and recommend internal controls to mitigate potential issues.
 </li>
 <li>
 Detect potential fraud, security concerns, and process gaps.
 </li>
 <li>
 Analyze quality trends and provide insights to support business and operational improvements.
 </li>
 <li>
 Identify training and coaching opportunities to enhance team performance.
 </li>
 <li>
 Collaborate with cross-functional teams to drive continuous improvement initiatives.
 </li>
 <li>
 Support the implementation of quality standards, policies, and procedures across operations.
 </li>
 <li>
 Prepare reports and communicate findings to management and relevant stakeholders.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree preferred.
 </li>
 <li>
 6 months to 2 years of experience in Quality Assurance within a contact center or customer service environment.
 </li>
 <li>
 Fluency in French, both written and spoken.
 </li>
 <li>
 Strong knowledge of Microsoft Office applications, particularly Excel, Word, and PowerPoint.
 </li>
 <li>
 Understanding of contact center operations, quality methodologies, and customer experience best practices.
 </li>
 <li>
 Strong analytical and reporting skills with attention to detail.
 </li>
 </ul>
 
 
 
</div>

French Quality Assurance

RWS Group

<div>
 We are looking for
 
 Speech AI Evaluation Specialist
 
 to support the improvement of AI-generated content in
 
 Arabic
 
 .
 
 
 
 Job Type:
 
 Freelance
 
 
 
 Location:
 
 Egypt (work from home)
 
 
 
 
 Work Schedule:
 
 
 Part-time - 10+ hours per week. Flexible - work whenever you want.
 
 
 
 Start Date:
 
 Immediately
 
 
 
 Duration:
 
 TBC
 
 
 
 Rate:
 
 6 USD per hour
 
 
 
 Help Shape the Future of AI
 
 
 Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today&rsquo;s AI models?
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Participate in short voice conversations with AI models using a designated platform
 </li>
 <li>
 Follow provided scenarios and prompts during interactions
 </li>
 <li>
 Evaluate AI responses based on factors such as relevance, accuracy, clarity, and overall quality
 </li>
 <li>
 Provide objective ratings and feedback according to project guidelines
 </li>
 <li>
 Complete assigned tasks within established quality and productivity expectations
 
 
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 Native-level fluency in Arabic
 </li>
 <li>
 English Proficiency: Fluent or advanced proficiency in English (levels B2-C2)
 </li>
 <li>
 AI &amp; Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling
 
 
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible schedule
 </li>
 <li>
 Opportunity to earn extra income
 </li>
 <li>
 Timely payments
 </li>
 <li>
 The job is ideal for students, part-timers, or stay-at-home parents
 
 
 
 
 </li>
 </ul>
 
 Vendor Type
 
 
 
 When applying, please select the option that best describes your working status.
 
 
 
 Are you a Freelancer or Private Individual?
 
 
 A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does
 
 not
 
 have a business license. If you aren&rsquo;t sure, you are probably a private individual.
 
 
 
 RWS embraces DEI
 
 and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
 
 
</div>

Speech AI Evaluation Specialist - Arabic (Egypt)

Succedo Labs

<div>
 About Succedo Labs
 
 Succedo Labs is an AI-native product studio helping startups and enterprises launch premium digital products at startup speed.
 
 
 We build:
 
 <ul>
 <li>
 AI Solutions &amp; Automation
 </li>
 <li>
 SaaS Platforms
 </li>
 <li>
 Mobile Applications
 </li>
 <li>
 Data &amp; Analytics Dashboards
 </li>
 <li>
 Custom Software Products
 </li>
 </ul>
 <li>
 
 </li>
 
 We're looking for an exceptional
 
 AI Product Engineer
 
 who can transform ideas into production-ready products using modern AI-powered development workflows.
 
 
 This is not a traditional software engineering role.
 
 
 We're looking for builders who leverage AI to move faster, think like product owners, and ship high-quality products rapidly.
 
 
 
 
 What You'll Do
 <ul>
 <li>
 Build web and mobile applications using AI-assisted development tools.
 </li>
 <li>
 Turn product requirements into working MVPs and production-ready solutions.
 </li>
 <li>
 Collaborate directly with founders, clients, and designers.
 </li>
 <li>
 Design and implement AI-powered features and workflows.
 </li>
 <li>
 Integrate APIs, databases, authentication systems, and third-party services.
 </li>
 <li>
 Continuously improve development speed, quality, and automation.
 </li>
 <li>
 Contribute to technical architecture and product decisions.
 
 </li>
 </ul>
 What We're Looking For
 
 Must Have
 <ul>
 <li>
 Strong experience building modern web applications.
 </li>
 <li>
 Experience with AI-assisted development workflows.
 </li>
 <li>
 Ability to independently build complete products from concept to deployment.
 </li>
 <li>
 Strong problem-solving and product-thinking mindset.
 </li>
 <li>
 Excellent communication skills.
 
 </li>
 </ul>
 Preferred Experience
 <ul>
 <li>
 Replit
 </li>
 <li>
 Cursor
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Claude
 </li>
 <li>
 Supabase
 </li>
 <li>
 Next.js
 </li>
 <li>
 React
 </li>
 <li>
 Vercel
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AI Agents &amp; Automation
 
 </li>
 </ul>
 Success Metrics
 <ul>
 <li>
 Speed of product delivery.
 </li>
 <li>
 Quality of shipped solutions.
 </li>
 <li>
 Client satisfaction.
 </li>
 <li>
 Ability to turn ideas into working products quickly.
 </li>
 <li>
 Contribution to improving our AI-native development processes.
 
 </li>
 </ul>
 What We Offer
 <ul>
 <li>
 Competitive salary.
 </li>
 <li>
 Flexible remote work.
 </li>
 <li>
 Opportunity to work on innovative AI and digital product projects.
 </li>
 <li>
 Direct collaboration with founders and clients.
 </li>
 <li>
 Exposure to startups, enterprise projects, and emerging technologies.
 </li>
 <li>
 Significant growth opportunities as Succedo Labs expands.
 
 </li>
 </ul>
 Why Join Succedo Labs?
 
 We're building a new kind of product studio&mdash;one that combines product thinking, AI, and modern development workflows to launch products faster than traditional teams.
 
 
 If you're excited about building real products, leveraging AI, and working in a fast-moving environment, we'd love to hear from you.
 
 
 📩
 
 Apply at:
 
 hello@succedo.ai
 
 <ul>
 <li>
 
 Subject:
 
 AI Product Engineer &ndash; Succedo Labs
 </li>
 </ul>
</div>

AI Product Engineer

Mindware

<div>
 
 Job Title
 
 
 
 Technical Support Engineer
 
 
 
 Job Scope
 
 
 
 The Technical Support Engineer is responsible to provide high-quality technical assistance to customers and internal teams. The ideal candidate has solid troubleshooting skills, strong communication abilities, and a customer-focused mindset, responsible for diagnosing issues, resolving technical problems, and ensuring smooth system operations.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Provide Level 1 and Level 2 technical support (remote and on-site if required).
 </li>
 <li>
 Troubleshoot hardware, software, and network-related issues.
 </li>
 <li>
 Install, configure, and maintain IT systems and applications.
 </li>
 <li>
 Monitor system performance and ensure availability.
 </li>
 <li>
 Escalate complex issues to senior engineers or vendors when necessary.
 </li>
 <li>
 Document incidents, solutions, and technical procedures.
 </li>
 <li>
 Support system upgrades, patches, and maintenance activities.
 </li>
 <li>
 Assist in implementation and deployment projects.
 </li>
 <li>
 Ensure SLA compliance and timely issue resolution.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in technical support or IT operations.
 </li>
 <li>
 Good understanding of:
 </li>
 <li>
 Networking fundamentals (TCP/IP, DNS, DHCP, VLANs)
 </li>
 <li>
 Active Directory and user management
 </li>
 <li>
 Basic virtualization concepts (VMware / Hyper-V is a plus)
 </li>
 <li>
 Backup and security best practices
 </li>
 <li>
 Experience with ticketing systems.
 </li>
 <li>
 Basic knowledge of cloud platforms (Azure / AWS is a plus)
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Computer Science or any other related field
 
 
 
 Experience
 
 
 
 At least 3 years of relevant experience
 
 
</div>

Technical Support Engineer

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

ClearGrid

<div>
 
 About ClearGrid
 
 
 
 ClearGrid is on a mission to
 
 revolutionize the debt resolution industry
 
 . We&rsquo;re using
 
 AI, automation, and real-time data
 
 to completely rethink how debt collection works, unlocking better outcomes for institutions and individuals alike. Think of us as rebuilding the collections &mdash;starting from scratch, with modern tools.
 
 
 We're a fast-growing startup with ambitious goals, and we&rsquo;re looking for builders who are hungry to make a real dent in a space with massive untapped potential.
 
 
 
 About The Role
 
 
 
 This is a hands-on, technical role that sits at the intersection of AI, language, and financial services. You will design and own AI agents that handle real customer conversations in Arabic and English, operating under strict compliance requirements set by our lender partners. The role demands equal parts linguistic precision, technical understanding of how LLMs work, and deep familiarity with financial services norms.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Agent Design &amp; Prompt Engineering
 
 
 
 <ul>
 <li>
 Write and own system instructions for AI voice agents end-to-end: persona definition, tone calibration, identity verification scripts, and dialect-specific behaviour for Gulf Arabic audiences.
 </li>
 <li>
 Manage agents across the full customer contact lifecycle, from early-stage reminder agents through to payment arrangement, broken promise, and compliance-focused agents.
 </li>
 <li>
 Encode lender-specific rules directly into system instructions.
 </li>
 <li>
 Inject dynamic customer and account variables provided by the data team to personalise each agent interaction.
 
 
 </li>
 </ul>
 
 Daily Testing &amp; Quality Assurance
 
 
 
 <ul>
 <li>
 Run daily test calls to address a wide range of real-world scenarios.
 </li>
 <li>
 Listen to live and recorded calls to identify bugs, off-script responses, or compliance gaps, and ship hotfixes quickly.
 </li>
 <li>
 Work within a structured QA feedback loop, acting on review comments to improve agent quality before deployment.
 </li>
 <li>
 Coordinate with cross-functional teams to align on call triggers, variable feeds, and product rules.
 
 
 </li>
 </ul>
 
 Voice &amp; Speech Optimisation
 
 
 
 <ul>
 <li>
 Develop new agent voices and evaluate them for naturalness, clarity, and suitability per lender and dialect.
 </li>
 <li>
 Tune STT/ASR (speech-to-text), TTS (text-to-speech), and latency parameters to maintain call quality.
 </li>
 <li>
 Control temperature and model parameters to keep agents within compliant, predictable behaviour, preventing hallucination and manipulation attempts.
 
 
 </li>
 </ul>
 
 Continuous Improvement
 
 
 
 <ul>
 <li>
 Monitor developments in AI tooling, voice technology, and LLM capabilities and assess their relevance to the agent stack.
 </li>
 <li>
 Study real customer call dynamics alongside the operations team and use those insights to improve agent realism and effectiveness.
 </li>
 <li>
 Maintain detailed documentation for each prompt version across all client projects.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Native or near-native Arabic speakers.
 </li>
 <li>
 Demonstrated experience in AI prompt engineering or training AI/LLM models in a professional setting.
 </li>
 <li>
 Working knowledge of voice AI stack: STT/ASR, TTS, latency management, hallucination mitigation.
 </li>
 <li>
 Understanding of how LLMs think - temperature, constraints, failure modes, and manipulation resistance.
 </li>
 <li>
 Experience or background in banking, debt collection, fintech, or financial services.
 </li>
 <li>
 Ability to produce structured, unambiguous written prompts in both English and Arabic.
 </li>
 <li>
 High attention to detail and comfort with repetitive testing and incremental iteration.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on experience with voice cloning tools and multi-voice agent pipelines.
 </li>
 <li>
 Familiarity with debt collection workflows: bucket segmentation, PTP cycles, RPC scripts, and lender compliance requirements.
 </li>
 <li>
 Prior exposure to Gulf-based financial institutions or BNPL platforms.
 </li>
 <li>
 Experience coordinating with QA teams and managing structured feedback loops.
 </li>
 </ul>
</div>

AI Prompt Engineer

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