accountant – accounts receivable (junior)

data engineer

ai engineer, light

ai platform engineer

aws devops senior

data analyst

ai data engineer hybrid

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

Archer Integrated Risk Management

<div>
 Job Details
 
 
 
 Description
 
 
 
 FULL-STACK DATA ENGINEER II
 
 
 Location: Cairo, Egypt
 
 
 Experience: 2&ndash;4 Years
 
 
 Stack: DataBricks &amp; Agentic AI
 
 
 The Role
 
 
 We are looking for a forward-thinking Full-Stack Data Engineer II to join our team in Egypt. This is not a traditional ETL role; you will be at the forefront of the Data + AI era, leveraging DataBricks to build intelligent data products. You will be responsible for the end-to-end lifecycle of data, from ingestion and Lakehouse architecture to developing agentic AI workflows that allow our business systems to act autonomously based on data insights.
 
 
 AI &amp; Agentic Focus
 
 
 Build and deploy LLM-based agents that utilize data tools to solve complex tasks, including implementing Retrieval-Augmented Generation (RAG) patterns and autonomous chains-of-thought for decision-making.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and optimize Delta Lake tables within DataBricks using Unity Catalog for governance.
 </li>
 <li>
 Develop and deploy agentic workflows using LangChain, AutoGen, or DataBricks Mosaic AI.
 </li>
 <li>
 Build Python-based backend services (FastAPI) to expose AI-driven insights.
 </li>
 <li>
 Manage data pipelines using DataBricks Workflows and Delta Live Tables (DLT).
 </li>
 <li>
 Implement monitoring frameworks to ensure agent accuracy, safety, and performance.
 
 
 </li>
 </ul>
 Technical Requirements
 
 
 <ul>
 <li>
 2&ndash;4 years experience with PySpark and SQL
 </li>
 <li>
 Strong experience with DataBricks (Unity Catalog, DLT, Notebooks)
 </li>
 <li>
 Understanding of Lakehouse architecture
 </li>
 <li>
 Hands-on experience with LLMs and prompt engineering
 </li>
 <li>
 Experience building AI agents using APIs and tools
 </li>
 <li>
 Backend development in Python and Docker
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 MLflow for model tracking and deployment
 </li>
 <li>
 Vector databases (Pinecone, Weaviate, DataBricks Vector Search)
 </li>
 <li>
 Familiarity with Egyptian data localization requirements
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Work on cutting-edge Agentic AI projects
 </li>
 <li>
 Competitive compensation in EGP with bonuses
 </li>
 <li>
 Hybrid work environment in New Cairo
 
 
 </li>
 </ul>
 Updated Version: DataBricks &amp; Agentic AI Focused &ndash; Egypt
</div>

Full-stack Data Engineer II

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
 </li>
 <li>
 You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
 </li>
 <li>
 You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
 </li>
 <li>
 Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of security, reliability and performance considerations for production platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

AI Platform Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, we're looking for a
 
 Data Engineer (ML/AI)
 
 to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Designing and maintaining
 
 data pipelines optimized for ML/AI workloads
 
 , including handling of large-scale, unstructured, and semi-structured data.
 </li>
 <li>
 Building
 
 feature pipelines and feature stores
 
 that ensure reusability and consistency of data used by machine learning models.
 </li>
 <li>
 Collaborating with Data Scientists and ML Engineers to understand
 
 data requirements for training, validation, and production deployment
 
 .
 </li>
 <li>
 Ensuring
 
 data quality, lineage, and governance
 
 meet standards required for AI/ML applications.
 </li>
 <li>
 Supporting
 
 MLOps practices
 
 by integrating data pipelines with model training, monitoring, and deployment workflows.
 </li>
 <li>
 Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for
 
 scalable ML data processing
 
 .
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 What you bring
 
 
 
 
 <ul>
 <li>
 
 8+ years
 
 of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to
 
 ML/AI-related data workflows
 
 .
 </li>
 <li>
 College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;
 </li>
 <li>
 Excellent analytical and problem-solving skills;
 </li>
 <li>
 Experience with
 
 data preparation for ML/AI
 
 : managing large datasets, feature engineering, and real-time or batch data pipelines.
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 and how data engineering supports model lifecycle management.
 </li>
 <li>
 Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for
 
 complex ML pipelines
 
 .
 </li>
 <li>
 Knowledge of unstructured data processing (text, images, logs) is a plus.
 </li>
 <li>
 Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer (ML/AI) - Alexandria

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of data platforms on Microsoft Azure, with a strong focus on Microsoft Fabric, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data engineers, data scientists and application teams to industrialize data ingestion, transformation and consumption on Azure and hybrid platforms.
 </li>
 <li>
 You build and maintain the data pipelines, storage layers and services required for analytics and AI use cases (batch and/or streaming), leveraging Azure data services and Microsoft Fabric capabilities.
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code, monitoring) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis, capacity planning and continuous improvement of the data platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new platform capabilities, such as new Microsoft Fabric workspaces, data products or self-service data features for business teams.
 </li>
 <li>
 You can be involved in migration projects from legacy on-premise solutions to Azure and Microsoft Fabric, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around modern data stack components and best practices on Azure.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in data platform engineering on Azure, from build to run. You will strengthen your skills in Azure data services and Microsoft Fabric, data storage and processing, automation, observability and reliability, while gaining experience on real-life, large-scale data use cases. You will also develop your ability to collaborate with cross-functional teams, translate business and analytics needs into robust data platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior Data Platform Engineer, Data Platform Tech Lead or roles focused on data architecture. You will also be able to move towards positions combining data platform engineering with AI/ML or BI, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, BI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education You have between 3 and 5 years of professional experience in a relevant technical role (for example: data engineer, platform engineer, DevOps engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge and hands-on experience with Microsoft Azure, in particular its managed services for data (for example Azure Data Lake, Azure Synapse, Azure SQL, Azure Databricks) and Microsoft Fabric.
 </li>
 <li>
 Solid experience with data processing and pipelines (for example SQL, Python, Spark or equivalent), in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools), ideally applied to Azure environments.
 </li>
 <li>
 Familiarity with modern data platforms and tools on Azure and Microsoft Fabric, and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of data security, governance, reliability and performance considerations for production data platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data engineers, data scientists, architects and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving data and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable data services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Data Platform Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 About the AI Factory Team
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams &mdash; including
 
 Marketing, Operations, and Sales
 
 &mdash; to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 </li>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <ul>
 <li>
 Frontend: React, TypeScript/JavaScript.
 </li>
 <li>
 Backend: Python (FastAPI or Flask).
 </li>
 </ul>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Full Stack AI Software Engineer

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
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Senior Full Stack AI Software Engineer

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