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Soum

<div>
 
 Role Name: AI / GenAI Solutions Engineer
 
 
 
 Location:
 
 Egypt, Pakistan (Remote)
 
 
 
 Work Week:
 
 Sunday - Thursday
 
 
 
 Working Hours:
 
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 
 
 
 Overview:
 
 
 Soum is building an AI native layer across our C2C marketplace, from customer conversations to automated order handling, personalised discovery, recommendations, fraud signals, and seller tooling. We're looking for a Senior GenAI Engineer to design and ship production-grade AI systems that touch millions of users across the buying and selling journey.
 
 
 You'll work end-to-end: architecting LLM-powered services on our Python backend, integrating them into product surfaces on our React frontend, and partnering with teams across the company to find where AI genuinely moves the needle. This is a senior builder's role with high autonomy, broad scope, and real impact on the business.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
 </li>
 <li>
 Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
 </li>
 <li>
 Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
 </li>
 <li>
 Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
 </li>
 <li>
 Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.
 </li>
 <li>
 Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
 </li>
 <li>
 Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
 </li>
 <li>
 Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
 </li>
 <li>
 Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them.
 
 
 
 
 
 </li>
 </ul>
 
 Where You'll Have Impact
 
 
 A non-exhaustive list of areas we are actively building in or want to:
 
 
 
 <ul>
 <li>
 Conversational AI for customer support, dispute resolution, and seller assistance
 </li>
 <li>
 Automated order handling, escalation routing, and workflow orchestration
 </li>
 <li>
 Personalized discovery, recommendations, and search relevance
 </li>
 <li>
 Listing quality, including auto-generated titles, descriptions, categorization, and image understanding
 </li>
 <li>
 Trust and safety, including fraud signals, anomaly detection, and content moderation
 </li>
 <li>
 Internal agent tooling for ops and CX teams
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required
 
 
 
 <ul>
 <li>
 5+ years building production software, with at least 2 years shipping LLM and ML-powered features at scale
 </li>
 <li>
 Strong Python for backend services, scripting, data pipelines, and ML tooling
 </li>
 <li>
 Working ability in TypeScript and React for integrating AI features directly into product surfaces
 </li>
 <li>
 Production experience with major LLM providers (Gemini, Claude, GPT) covering tool and function calling, structured outputs, streaming, prompt caching, and cost control
 </li>
 <li>
 Deep understanding of Retrieval Augmented Generation (RAG): document ingestion, chunking, embedding generation, vector databases (pgvector, Pinecone, Weaviate, or similar), hybrid retrieval, and reranking
 </li>
 <li>
 Solid grounding in embeddings and vector search: dense vs. sparse representations, similarity metrics, indexing strategies (HNSW, IVF), and dimensionality tradeoffs
 </li>
 <li>
 Strong ML and NLP fundamentals: transformer architectures, tokenization, fine-tuning vs. prompting tradeoffs, classification, ranking, and evaluation methodology
 </li>
 <li>
 Experience with scripting and automation for data preparation, model evaluation harnesses, and offline analysis
 </li>
 <li>
 Comfortable with relational databases (PostgreSQL), caching layers (Redis), REST, SSE, WebSockets, and event-driven architectures
 </li>
 <li>
 Production experience with observability, A/B testing, and rolling out model changes safely
 
 
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with recommendation systems, learning to rank, or search relevance at scale
 </li>
 <li>
 Marketplace or C2C background covering buyer and seller dynamics, disputes, fraud, and payouts
 </li>
 <li>
 Multimodal model experience, including vision and image understanding for listings
 </li>
 <li>
 Arabic NLP or bilingual product experience
 </li>
 <li>
 Experience with agent frameworks (LangGraph, custom orchestrators) and the judgment to know when to use them
 </li>
 <li>
 Fine-tuning, LoRA, distillation, or hosting open weight models in production
 </li>
 <li>
 Open source contributions to LLM tooling, eval frameworks, or retrieval libraries
 
 
 
 
 
 </li>
 </ul>
 
 What We Care About
 
 
 
 <ul>
 <li>
 Ship over the architect. Lean code, no premature abstractions, no half-finished frameworks.
 </li>
 <li>
 Measurement-driven development. Features ship with evals and metrics, not vibes.
 </li>
 <li>
 Ownership. From idea to deployment to monitoring the first real users.
 </li>
 <li>
 Curiosity and range. This role spans many problem domains, and we want someone energized by that.
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AI / GenAI Solutions Engineer

Bosta

<div>
 As a Senior Learning &amp; Development Specialist, you&rsquo;ll lead the design, development, and delivery of impactful learning programs for Bosta&rsquo;s diverse workforce. This job brings fresh thinking, modern learning methods, and measurable results to how we develop talent from operations to leadership.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Participate in forming Learning Strategy and be responsible for Needs Analysis, Partnering with leaders to translate business priorities into targeted learning solutions
 </li>
 <li>
 Program Design &amp; Facilitation: Create, design and facilitate blended programs as Classroom, virtual, microlearning programs that engage and inspire
 </li>
 <li>
 Integrate new tools and approaches of Learning Innovation such as gamification, social learning, and AI-powered adaptive learning
 </li>
 <li>
 Support initiatives that build future leaders and strengthen career pathways through Leadership succession planning and Career Development
 </li>
 <li>
 Evaluation &amp; Continuous Improvement - Measure effectiveness of Learning and Development programs using learning analytics and impact assessments. Assure making data driven enhancements
 </li>
 <li>
 Collaborate closely with managers, HRBPs, and external vendors to ensure learning is relevant, high-quality, and aligned with Bosta Value Proposition
 </li>
 <li>
 Oversee the L&amp;D calendar, budget, and records (via LMS) for transparency and efficiency
 
 
 
 </li>
 </ul>
 
 Qualification &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in HR, Instructional Design, Education, Psychology, or related field
 </li>
 <li>
 5-7 years in L&amp;D, including experience in learning design, facilitation, and strategy execution
 </li>
 <li>
 Expertise in instructional design, adult learning principles, and blended learning environments
 </li>
 <li>
 Proficiency with LMS platforms and e-learning tools
 </li>
 <li>
 Strong facilitation, presentation, project management, and stakeholder management skills
 </li>
 <li>
 Analytical mindset and experience measuring training ROI
 </li>
 <li>
 Familiarity with microlearning and evolving learning trends
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Learning and Development Manager

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

Aspire, Jordan

<div>
 
 We are looking for
 
 AI Platform Engineers
 
 to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
 
 
 Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
 
 
 Create developer tooling and documentation that makes integration with your services intuitive and easy;
 
 
 Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
 
 
 Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 
 
 Design, develop, and maintain scalable and performant APIs;
 
 
 Write clean, maintainable, and well-documented code;
 
 
 Participate in code reviews and provide and receive constructive feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What You&rsquo;ll Need
 
 
 <ul>
 <li>
 Prior software engineering experience with API design and distributed system development;
 </li>
 <li>
 Strong experience building backend services and REST or GraphQL APIs;
 </li>
 <li>
 Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
 </li>
 <li>
 Understanding of LLM integration and usage patterns;
 </li>
 <li>
 Strong collaboration and written and verbal communication skills;
 </li>
 <li>
 Past experience with cloud infrastructure, preferably on AWS;
 </li>
 <li>
 Experience with Node.js or a desire to learn;
 </li>
 <li>
 Experience with TypeScript or a desire to learn;
 </li>
 <li>
 Background in developer tooling and API documentation is preferred.
 </li>
 </ul>
 
 
</div>

AI Platform Engineer

Faze 3 Consulting

<div>
 
 About Our Client
 
 
 Our client is an established management consulting firm working with government, financial services, and enterprise clients across the GCC and wider MENA region. Their identity will be disclosed at first contact from Faze 3.
 
 
 
 
 
 The Team You'd Be Joining
 
 
 A rapidly growing, ambitious AI engineering team being built from the ground up to design and ship the AI products at the centre of the client&rsquo;s consulting work. As an early hire in this build, you will help shape both the technical foundations and the engineering culture of the function.
 
 
 
 
 
 The Role
 
 
 This role bridges classical machine learning and modern LLM-based systems. You will build production ML models (regression, classification, time-series, anomaly detection) alongside hybrid architectures combining retrieval-augmented generation, ML scoring, and rules-based logic. You will own the evaluation frameworks that keep applied AI honest in production: precision, recall, hypothesis testing, model diagnostics, drift detection.
 
 
 This is a hands-on practitioner role, not research. The team ships into live client engagements against measured precision, recall, latency, and cost targets.
 
 
 
 
 
 Mandatory Requirements
 
 
 
 Education.
 
 Bachelor&rsquo;s in Computer Science (or very similar/related) OR Bachelor&rsquo;s in Statistics (or very similar/related) from a Tier 1 / Tier 2 university. Master&rsquo;s preferred. &ldquo;Very similar/related&rdquo; includes Software Engineering, Mathematics, Data Science, Physics, Applied Statistics, Information Systems, Econometrics, and similar substantively quantitative disciplines.
 
 
 
 
 
 
 Experience.
 
 5&ndash;10 years in applied ML / AI engineering, with at least 3 years building ML models that ran in production.
 
 
 
 
 
 
 Essential Skills:
 
 
 <ul>
 <li>
 Strong Python
 </li>
 <li>
 NumPy
 </li>
 <li>
 pandas
 </li>
 <li>
 scikit-learn
 </li>
 <li>
 production ML pipelines
 </li>
 <li>
 SQL
 </li>
 <li>
 working comfort with the LLM and RAG interplay.
 </li>
 </ul>
 
 
 
 
 
 Statistical rigour.
 
 Working fluency with hypothesis testing (t-tests, z-tests, chi-square), time-series and stationarity diagnostics (AD, JB, ARCH, ADF, KPSS), and model diagnostics (AIC, BIC, log-likelihood).
 
 
 
 
 
 
 Conditional certification.
 
 If your degree is in Statistics (or very similar/related), the role requires either the Stanford Machine Learning Specialization OR the IBM Python for Data Science and AI certification. For CS-pathway candidates, these are good-to-have.
 
 
 
 
 
 
 Languages.
 
 Proficiency in English is required.
 
 
 
 
 
 Desirable Skills
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Time-series modelling depth &mdash; ARIMA family, Prophet, deep-learning sequence models.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PyTorch or TensorFlow at working level.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;MLflow or equivalent experiment tracking in production use.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Embeddings, vector search, and reranking experience.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;XGBoost, LightGBM, or CART model fluency.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Drift detection, shadow evaluation, or A/B test design experience.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A live GitHub or portfolio with original ML work.
 
 
 &bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Arabic language capability.
 
 
 
 
 
 How to Apply
 
 
 You will need your CV and a 300-word narrative describing one ML model you took from concept to production &mdash; problem, approach, evaluation, deployment, and measurable impact. A GitHub or portfolio link is welcomed but optional.
 
</div>

Applied ML and AI Engineer

Flatgigs

<div>
 
 The Role
 
 
 
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 
 
 The work is hands-on and client-facing:
 
 
 <ul>
 <li>
 Understand operational workflows and convert them into technical artifacts
 </li>
 <li>
 Connect to real enterprise systems and data sources
 </li>
 <li>
 Build context-aware AI agents, retrieval systems, and automation prototypes
 </li>
 <li>
 Help move the best prototypes toward reliable production deployments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Build context graphs.
 
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 
 
 
 Develop AI and agentic workflows.
 
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 
 
 
 Connect to enterprise systems
 
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 
 
 
 Prototype automation opportunities.
 
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 
 
 
 Turn messy business problems into software.
 
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 
 
 
 Support production deployments.
 
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 
 
 
 Ideal Candidate
 
 
 
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 
 
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 
 
 
 Technical Background
 
 
 
 <ul>
 <li>
 Strong Python fundamentals
 </li>
 <li>
 Basic backend development experience
 </li>
 <li>
 Familiarity with APIs, databases, and cloud services
 </li>
 <li>
 Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
 </li>
 <li>
 Familiarity with data pipelines and messy real-world datasets
 </li>
 <li>
 Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
 </li>
 <li>
 AWS experience is a plus
 </li>
 <li>
 Experience with enterprise data, analytics, or workflow automation is a strong plus
 
 
 </li>
 </ul>
 
 What Makes Someone Successful In This Role
 
 
 
 <ul>
 <li>
 You like figuring out how businesses actually operate
 </li>
 <li>
 You are comfortable working with incomplete, messy, or poorly documented data
 </li>
 <li>
 You can move quickly from vague requirements to a working prototype
 </li>
 <li>
 You care about building useful systems, not just impressive demos
 </li>
 <li>
 You communicate clearly with both engineers and non-technical stakeholders
 </li>
 <li>
 You are curious about how AI agents can interact with real tools, data, and workflows
 </li>
 <li>
 You want to learn how to deploy AI into real enterprise environments
 
 
 </li>
 </ul>
 
 Why This Role Is Interesting
 
 
 
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 
 
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>

Forward Deployed AI Engineer

Nextcare

<div>
 
 What You Do
 
 
 
 <ul>
 <li>
 Manages routine daily claims administration work.
 </li>
 <li>
 Coordinates work flow &amp; meet deadlines.
 </li>
 <li>
 Evaluates claims with regards to eligibility.
 </li>
 <li>
 Takes decisions on high cost and complicated cases based on standard operating procedures.
 </li>
 <li>
 Handles International Preauthorization cases as required.
 </li>
 <li>
 Attends calls and e-mails from insurance companies, clients, and providers.Coordinates with international providers for direct billing.
 </li>
 <li>
 Makes suggestions to improve service.Increases efficiency, minimizes errors and administration time.
 </li>
 <li>
 Analyze data using AI to identify areas for service improvement, increase efficiency, minimize errors, and reduce administration time
 
 
 </li>
 </ul>
 
 AI READINESS
 
 Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s of Medicine (MBBS)Medical 1 year Practical Experience in UAE claims, DRG claims and coding skills (reputable insurance provider, broker or a TPA experience a plus).
 </li>
 <li>
 Legally permitted to work in the country of operations.
 </li>
 <li>
 Fluency in MS Office (Excel, Word, Outlook, PowerPoint) and general internet navigation and research skill
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in MS Office applications and experience with AI software and tools.
 </li>
 <li>
 Skills in data analysis, machine learning, and AI-driven research are highly desirable.
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 
 
 Agency Statement
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies.
 
 
 We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered
 
 
 
 
 What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance. Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers, and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care.At Allianz Partners, Artificial Intelligence (AI) is transforming service delivery and innovation.
 
 
 By leveraging Business Intelligence and Data Analytics, we enhance strategic decision-making and customer experiences. Our commitment to Ethical AI ensures responsible deployment, maintaining data integrity and trust. Conversational AI improves communication, while Emerging Technologies and Generative AI drive industry leadership and new opportunities. With robust Information Security Management, we protect sensitive information, ensuring compliance and security. Embrace the future of AI with Allianz Partners, where possibilities become realities.
 
 
 Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
 
 
 At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
 
 
 We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 
 Join us.
 
 Let's care for tomorrow.
 
 
 Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz&lsquo; company culture. One means to achieve this is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
</div>

Medical Claims Officer - Physicians only

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