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Velents.ai

<div>
 حلول فيلينتس بالذكاء الاصطناعي تخدم أكثر من 5 وزارات حكومية في المملكة العربية السعودية والكثير من الشركات الكبيرة والناشئة في مختلف القطاعات مثل مجالات التوظيف، التعليم، تطوير الموظفين، تأهيل الطلاب، خدمة العملاء، المبيعات، وغيرها. وذلك من خلال تطوير واجهات برمجة التطبيقات مثل المحادثات التفاعلية مع الذكاء الاصطناعي، تحويل الصوت والفيديو إلى نص، .تحليل الفيديو، قراءة ومطابقة المستندات، اختبارات المهارات، ونظام مكافحة الغش. والمزيد والمزيد.. تعرف أكثر على حلول فيلينتس بالذكاء الاصطناعي من خلال موقعنا
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Tender &amp; Proposal Management
 </li>
 <li>
 Work on government and enterprise tenders in Saudi Arabia, ensuring compliance with local procurement processes and infrastructure technology requirements.
 </li>
 <li>
 Prepare and deliver cost sheets, solution architectures, and compliance documentation aligned with customer expectations.
 </li>
 <li>
 Technical Leadership in Pre-Sales
 </li>
 <li>
 Present Velents.ai&rsquo;s AI-driven recruitment solutions to clients in a consultative manner.
 </li>
 <li>
 Lead proof of concept (POC) engagements from design through delivery, supported by our Vibe Coders team who will help implement and customize solutions.
 </li>
 <li>
 Demonstrate samples of technical proposals, architectures, and prior work to showcase expertise.
 </li>
 <li>
 Integration &amp; Solution Design
 </li>
 <li>
 Architect solutions leveraging APIs and integrations to connect Velents.ai with existing HR, ERP, or infra tech ecosystems.
 </li>
 <li>
 Provide technical validation for AI-driven workflows and ensure scalability in customer environments.
 </li>
 <li>
 Partner &amp; Ecosystem Engagement
 </li>
 <li>
 Manage channel partners and system integrators, ensuring smooth collaboration in deals and delivery.
 </li>
 <li>
 Support partner enablement with technical training, demos, and documentation.
 </li>
 <li>
 Commercial &amp; Strategic Support
 </li>
 <li>
 Work with sales to define technical win strategies and competitive differentiation.
 </li>
 <li>
 Build cost sheets and solution proposals aligned with both client budgets and Velents.ai&rsquo;s value proposition.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience in KSA tenders and infrastructure technology (Infra Tech), with a strong understanding of procurement and approval processes.
 </li>
 <li>
 Demonstrated expertise in AI solutions, APIs, and system integrations.
 </li>
 <li>
 Strong background in pre-sales engineering, solution architecture, or technical consulting.
 </li>
 <li>
 Proven ability to manage POCs, with support from an engineering team.
 </li>
 <li>
 Ability to create and present technical proposals, cost sheets, and architecture diagrams.
 </li>
 <li>
 Excellent communication skills in Arabic &amp; English (written and verbal).
 </li>
 <li>
 Strong stakeholder management experience, including partner and enterprise clients.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience in HR Tech, AI SaaS, or enterprise software solutions.
 </li>
 <li>
 Familiarity with Saudi government approval systems (e.g., Etimad/اعتماد).
 </li>
 <li>
 Hands-on knowledge of cloud, infra security, and enterprise integrations.
 
 
 </li>
 </ul>
 
 Why Join Velents.ai?
 
 
 
 <ul>
 <li>
 Be part of a fast-growing AI startup expanding across MENA.
 </li>
 <li>
 Opportunity to lead strategic, high-value deals in the KSA market.
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Laptop allowance
 </li>
 <li>
 Flexible work culture with growth opportunities into Solution Architect / Pre-Sales Lead roles.
 </li>
 </ul>
</div>

AI Pre-Sales Engineer

Valeo

<div>
 
 You will be joining the
 
 AI4ALL
 
 initiative within our Group IS Application Center (GISACC). This agile team is dedicated to revolutionizing our products and internal tools by harnessing the power of cutting-edge
 
 Generative AI
 
 . We aim to build scalable, serverless, and intelligent applications that seamlessly integrate into Valeo&rsquo;s workflow.
 
 
 
 
 
 Mission
 
 
 
 
 
 As a
 
 Senior AI Data Engineer
 
 , you will bridge the gap between raw enterprise data and our Generative AI ecosystem. You will architect the "nervous system" of our AI models, ensuring our LLMs have access to high-quality, real-time, and contextually relevant data to power the next generation of Valeo&rsquo;s Software Defined Vehicle (SDV) tools and internal processes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Advanced RAG Architecture: Design and implement end-to-end pipelines for Retrieval-Augmented Generation (RAG), including advanced retrieval techniques, Graph RAG, Agentic RAG, and multimodal RAG.
 </li>
 <li>
 Vector Database Management: Architect and optimize vector stores (e.g., Qdrant, Pinecone) to handle high-dimensional embeddings and ensure low-latency similarity searches.
 </li>
 <li>
 Data Connectivity: Design, develop, and maintain secure data connectors to pull information from various external tools, SaaS platforms, and internal databases.
 </li>
 <li>
 Data Pre-processing for Gen-AI: Develop cleaning and normalization workflows specifically for unstructured data (PDFs, HTML, Markdown) to ensure optimal LLM performance.
 </li>
 <li>
 Orchestration: Use tools like LangChain, LlamaIndex, or Haystack to orchestrate complex data flows between storage, embedding models, and LLM endpoints.
 </li>
 <li>
 Monitoring &amp; Evaluation: Implement "RAG-as-a-service" monitoring to track retrieval quality (faithfulness, relevancy) and data drift in production.
 
 
 </li>
 </ul>
 
 
 Candidate Profile
 
 
 
 
 <ul>
 <li>
 Education: B.Sc. or M.Sc. in Computer Science, Data Engineering, or a related field.
 </li>
 <li>
 Experience: 5+ years in Data Engineering with a recent focus on AI/ML pipelines.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Languages: Expert proficiency in Python and SQL; knowledge of Java or Go is a plus.
 </li>
 <li>
 Data Tools: Experience with Spark, Kafka, Airflow/Prefect, and dbt.
 </li>
 <li>
 AI Frameworks: Hands-on experience with LangChain, LlamaIndex, OpenAI API, Hugging Face, MCP, A2A, and ADK.
 </li>
 <li>
 Vector DBs: Proficiency with Qdrant, Pinecone, Chroma, Weaviate, or pgvector.
 </li>
 <li>
 Cloud/DevOps: Knowledge of GCP/AWS, Docker, and Kubernetes.
 </li>
 </ul>
 <li>
 Preferred: Deep understanding of embedding models, chunking strategies, and unstructured data extraction tools (e.g., Unstructured.io, PyMuPDF).
 </li>
 </ul>
</div>

Senior AI Data Engineer, AI4ALL

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
 
 
 
 
 
 About the AI Factory Team
 
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams including Marketing, Operations, and Sales to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 
 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>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 About you
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </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, 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>

Full Stack AI Software Engineer

Unifonic

<div>
 
 Job Description
 
 
 
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 
 
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 
 
 
 Meet the team!
 
 
 
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 
 
 As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including NLP, Text Classification, RAG, LLMs, Recommender engines, and Anomaly detection. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.
 
 
 
 Help Us Shape The Future Of Communication By
 
 
 
 <ul>
 <li>
 Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures.
 </li>
 <li>
 Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content.
 </li>
 <li>
 Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction.
 </li>
 <li>
 Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search).
 </li>
 <li>
 Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches.
 </li>
 <li>
 Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.
 </li>
 <li>
 Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.
 </li>
 <li>
 Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI).
 </li>
 <li>
 Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode.
 </li>
 <li>
 Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations.
 </li>
 <li>
 Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA.
 </li>
 <li>
 Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.
 </li>
 <li>
 Assisting in the project documentation and demos.
 
 
 </li>
 </ul>
 Job requirements
 
 
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Proven experience designing and implementing RAG systems, including familiarity with various retrieval strategies (e.g., BM25, dense retrieval, hybrid approaches) and knowledge graph integration.
 </li>
 <li>
 Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools for building and managing autonomous agents.
 </li>
 <li>
 Deep expertise in various NLP techniques and models, including but not limited to:
 
 
 </li>
 </ul>
 Transformer architectures (e.g., BERT, GPT, T5, LLama, Mistral)
 
 
 Large Language Models (LLMs) and their fine-tuning/adaptation
 
 
 Vector embeddings and similarity search
 
 
 Text classification, named entity recognition (NER), sentiment analysis, summarization, and question answering.
 
 
 <ul>
 <li>
 Hands-on 3-5 years of relevant work experience as a Machine Learning Engineer.
 </li>
 <li>
 Hands-on 3+ years of experience with Python.
 </li>
 <li>
 Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights.
 </li>
 <li>
 End-to-end experience in training, evaluating, testing, and deploying machine learning products in production.
 </li>
 <li>
 Ability to write world-class code in Python (SOLID principles), considering the best software engineering fundamentals, i.e. data structures, algorithms, and data modeling
 </li>
 <li>
 Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar.
 </li>
 <li>
 Familiarity with MLOps best practices, e.g. Model deployment and reproducible research.
 </li>
 <li>
 Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction.
 </li>
 <li>
 Basic knowledge of Kubernetes and Docker is nice to have.
 </li>
 <li>
 Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.
 </li>
 <li>
 Experience with the Hugging Face libraries (i.e. transformers).
 </li>
 <li>
 Experience fine-tuning pre-trained models and using vector search to enhance LLMs results.
 </li>
 <li>
 Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques.
 </li>
 <li>
 Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.
 </li>
 <li>
 Familiar with Agile methodologies i.e. scrum and kanban.
 </li>
 <li>
 Ability to develop high-level architecture and low-level design, End-to-end for a specific project.
 </li>
 <li>
 Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is a plus.
 </li>
 <li>
 Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques is nice to have.
 </li>
 <li>
 Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is nice to have.
 </li>
 <li>
 General knowledge of Data warehouse tools e.g. Vertica is a plus.
 </li>
 <li>
 A Bachelor&rsquo;s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Software, etc).
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Good level of spoken and written Arabic and English.
 
 
 </li>
 </ul>
 
 As a Unifone you will receive a range of benefits:
 
 
 
 <ul>
 <li>
 Competitive salary and bonus.
 </li>
 <li>
 Unifonic share scheme (we are all owners!).
 </li>
 <li>
 30 holiday days after the first anniversary.
 </li>
 <li>
 Your Birthday off!
 </li>
 <li>
 Spend up to 25 days per year working from anywhere in the world!
 </li>
 <li>
 Paid leave for new parents.
 </li>
 <li>
 LinkedIn learning license.
 </li>
 </ul>
</div>

Senior Machine Learning Engineer

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 The Senior Principal Engineer, Service Delivery is responsible for planning, directing, and coordinating the technical and organizational activities required to deliver complex services in alignment with contract specifications. This role builds deep customer relationships, becoming a trusted advisor by understanding client priorities, challenges, and strategic initiatives. The position identifies growth opportunities, supports sales in pursuing them, and ensures seamless service delivery across all phases. The Senior Principal Engineer manages high‑priority escalations, drives continuous improvement, and collaborates with sales and Global Services SMEs to develop strategic account growth plans.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Ensure end‑to‑end delivery costs are aligned with or better than contracted service‑level agreements.
 </li>
 <li>
 Coordinate and guide technical solution teams to meet all contractual commitments.
 </li>
 <li>
 Provide advanced metrics, analytics, and reporting to internal and external stakeholders.
 </li>
 <li>
 Proactively identify issues, drive timely resolution, and prevent negative customer impact.
 </li>
 <li>
 Lead continuous improvement efforts across service delivery processes and technical operations.
 </li>
 <li>
 Identify opportunities for service innovation, account expansion, and solution enhancements.
 </li>
 <li>
 Maintain effective communication with stakeholders, customers, partners, and cross-functional teams.
 </li>
 <li>
 Build strong customer relationships and act as a trusted advisor based on deep understanding of their business needs.
 </li>
 <li>
 Support sales and Global Services SMEs in identifying and pursuing new service opportunities.
 </li>
 <li>
 Oversee service matters across accounts and manage customer expectations during escalations.
 </li>
 <li>
 Contribute to strategic account planning and long-term customer success initiatives.
 </li>
 <li>
 Apply broad technical expertise to influence company objectives and achieve organizational goals.
 </li>
 <li>
 Analyze complex and unique issues requiring conceptual and creative problem-solving.
 </li>
 <li>
 Exercise independent judgment in selecting methods, techniques, and evaluation criteria for service delivery.
 </li>
 <li>
 Take accountability for decisions and outcomes that may impact the broader function or organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 12+ years of relevant experience.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Broad expertise across highly specialized technical domains or multiple related disciplines.
 </li>
 <li>
 Experience contributing to and leading the development of organizational goals, principles, and technical standards.
 </li>
 <li>
 Strong conceptual thinking skills to analyze advanced, ambiguous, or intangible issues.
 </li>
 <li>
 Proven ability to exercise independent judgment in complex technical and operational situations.
 </li>
 <li>
 Demonstrated success delivering technical solutions that align with contract and customer expectations.
 </li>
 <li>
 Strong communication skills with the ability to collaborate across organizational and functional boundaries.
 </li>
 <li>
 Ability to manage customer escalations and ensure positive outcomes in high‑pressure scenarios.
 </li>
 <li>
 Experience identifying innovation and growth opportunities within customer accounts.
 </li>
 <li>
 Strong stakeholder‑management, reporting, and executive‑level communication skills.
 </li>
 </ul>
</div>

Senior Principal Engineer, Service Delivery

Pet Media Group (PMG)

<div>
 
 About Us
 
 
 
 Pet Media Group (PMG) is a scale-up that acquires, launches, and develops market-leading pet marketplaces globally, with over 1.5 million animals finding new homes through our platforms every year. We currently operate in 6 countries (UK, Sweden, Netherlands, Italy, Spain, and most recently the US) &mdash; all within just 5 years of launching. Here's one of our apps: Pets4Homes.co.uk
 
 
 The way pets find new loving homes has remained largely unchanged for centuries. We're on a mission to change that through innovative technology &mdash; and increasingly, through the intelligent use of AI. We're a young and ambitious team who have built unicorns before (e.g. Avito), backed by some of Europe's leading investors (e.g. Verdane and Otiva &mdash; early backers of Klarna, CAIA, Apotea, and Easypark).
 
 
 
 Who are we looking for?
 
 
 
 We're expanding our Monetisation team and looking for an FE-focused full stack engineer to help us build great products in the payment processing &amp; value-added services space, and improve the user experience in the payment domain.
 
 
 We're not just looking for a strong engineer &mdash; we're looking for someone who actively uses AI tools as part of their daily workflow: whether that's using LLMs to accelerate development, exploring AI-powered tooling for testing, code review, or product ideation, or simply staying genuinely curious about where the technology is heading.
 
 
 We expect roughly 6 years of engineering experience, ideally with our current tech stack &mdash; and a mindset that sees AI as a multiplier, not a buzzword.
 
 
 
 Requirements
 
 
 
 We're a fast-growing scale-up. We want engineers who build fast, fail fast, and learn fast. You don't need to be a world-class expert in every tool we use &mdash; but you do need a critical, open mindset, strong JavaScript proficiency, and a genuine enthusiasm for AI-assisted development.
 
 
 
 Core (required):
 
 
 
 <ul>
 <li>
 Building apps with TypeScript, Next.js, Node.js &amp; React
 </li>
 <li>
 Understanding of GraphQL and its usage in large systems with multiple consumers
 </li>
 <li>
 Experience with frontend testing tools and testing strategies
 </li>
 <li>
 Experience with relational databases like PostgreSQL
 </li>
 <li>
 Active use of AI tools (e.g. Claude, Cursor, Codex, ...) in your day-to-day engineering work &mdash; we want to hear how you use them
 
 
 </li>
 </ul>
 
 Bonus (helpful &amp; appreciated):
 
 
 
 <ul>
 <li>
 Experience with payment processing (Stripe, Adyen, Braintree)
 </li>
 <li>
 Experience with search technologies like Elasticsearch
 </li>
 <li>
 Experience with monitoring &amp; observability tools like Grafana
 </li>
 <li>
 Experience with responsive design &amp; mobile web UX
 </li>
 <li>
 Experience with UI/component frameworks like Tailwind
 </li>
 <li>
 Experience evaluating or experimenting with AI coding workflows at team or company level
 
 
 </li>
 </ul>
 Working proficiency in English is required.
 
 
 
 Our tech stack
 
 
 
 Next.js, React, Node.js &amp; React Native (TypeScript throughout)
 
 
 <ul>
 <li>
 GitLab CI/CD
 </li>
 <li>
 Elasticsearch
 </li>
 <li>
 Redis
 </li>
 <li>
 GraphQL &amp; PostgreSQL
 </li>
 <li>
 Knex
 </li>
 <li>
 Docker
 </li>
 <li>
 Serverless with AWS Lambda
 </li>
 <li>
 AWS
 </li>
 <li>
 Grafana
 </li>
 <li>
 Bitrise
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 Join a rapidly growing, already-profitable business with a clear vision and genuine energy
 </li>
 <li>
 A diverse team across Sweden, Germany, Austria, UK, Poland, Portugal, Bosnia, Croatia, Ukraine and Egypt
 </li>
 <li>
 A real opportunity to shape our tech department &mdash; and to help define how AI becomes part of how we build
 </li>
 <li>
 Competitive compensation and great benefits (remote or in-person)
 
 
 </li>
 </ul>
 We very much look forward to your application, contact us if you have any questions!
</div>

Senior Fullstack Engineer (FE-focused) — Monetisation Team (f/m/d)

InVitro Capital

<div>
 
 
 About InVitro Capital:
 
 
 
 
 
 
 InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology.
 
 
 Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products. We do not bolt AI onto products &mdash; we design AI-native systems from day one.
 
 
 We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 We are looking for an exceptionally strong Tech Lead (AI + Full Stack) who codes every day and leads through architecture, execution, and example. This role is designed for elite senior builders who thrive in zero-to-one environments, enjoy solving complex problems, and can ship production-grade systems quickly.
 
 
 This is a full-stack tech lead role first: you will architect and ship end-to-end product systems (backend + frontend collaboration), and you must also be strong enough in AI/ML to build and productionize AI capabilities inside those systems.
 
 
 
 
 
 You will:
 
 <ul>
 <li>
 Architect core systems
 </li>
 <li>
 Build them with your own hands
 </li>
 <li>
 Integrate AI tooling &amp; agents
 </li>
 <li>
 Mentor engineers through technical leadership
 </li>
 <li>
 Drive engineering excellence across multiple ventures
 </li>
 </ul>
 
 This is not a people-management role &mdash; it is a high-impact IC leadership role.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 
 
 Build &amp; Lead With Technical Depth (70-90% hands-on)
 
 
 <ul>
 <li>
 Architect, build, and ship backend and full-stack systems end to end.
 </li>
 <li>
 Lead engineers through code reviews, architecture reviews, and solid technical decision-making.
 </li>
 <li>
 Own engineering execution across multiple ventures.
 </li>
 </ul>
 
 
 
 
 
 Design Scalable, AI-Native Architectures
 
 
 <ul>
 <li>
 Build modular APIs, distributed systems.
 </li>
 <li>
 Embed AI capabilities into product systems (LLMs and/or domain AI like NLP/CV) in a way that is secure, observable, reliable, and scalable.
 </li>
 <li>
 Design and implement retrieval workflows (RAG), evaluation/guardrails, and agent/tool orchestration where they add real product value.
 </li>
 <li>
 Work with Python, OpenAI, Anthropic, LangGraph, LangChain, LlamaIndex, vector databases, and agent toolchains.
 </li>
 </ul>
 
 
 
 
 
 Engineer With Excellence
 
 
 <ul>
 <li>
 Write high-performance, production-grade code in Python (primary) for backend services and AI/ML systems.
 </li>
 <li>
 Build and productionize ML/AI components (training/inference pipelines, model serving, and integrations) with strong engineering discipline.
 </li>
 <li>
 Build systems optimized for reliability, performance, and observability.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Ownership
 
 
 <ul>
 <li>
 Collaborate with frontend engineers to deliver seamless end-to-end experiences.
 </li>
 <li>
 Design clean APIs, interfaces, and developer workflows.
 </li>
 </ul>
 
 
 
 
 
 DevOps + Cloud Execution
 
 
 <ul>
 <li>
 Manage CI/CD pipelines and cloud deployments on AWS.
 </li>
 <li>
 Kubernetes is a strong plus; AWS + Docker + CI/CD and production deployment ownership are required.
 </li>
 <li>
 Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.
 </li>
 <li>
 Own production deployments of AI/ML components (model serving, monitoring, and lifecycle workflows) alongside the core application stack.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Mentor engineers and uplift technical standards across the stack.
 </li>
 <li>
 Provide architectural direction and guide complex technical initiatives.
 </li>
 <li>
 Contribute to hiring and shaping engineering culture.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Professional Engineering Experience &mdash; 12+ years building and shipping production-grade systems.
 </li>
 <li>
 Python Expertise (FastAPI or similar, production) &mdash; async services, Pydantic models, you write Python daily.
 </li>
 <li>
 Backend/System Architecture Ownership &mdash; you've owned system design decisions, led code reviews, mentored engineers, and shipped end-to-end systems as a senior IC or tech lead.
 </li>
 <li>
 Core ML / Deep Learning (hands-on) &mdash; built ML/DL systems using PyTorch or TensorFlow; understand training, evaluation, optimization.
 </li>
 <li>
 Production ML Deployment / MLOps &mdash; deployed ML systems to production; owned monitoring, versioning, rollback strategies, lifecycle management.
 </li>
 <li>
 Applied AI Systems Experience &mdash; shipped AI-powered features using LLMs and/or applied NLP/CV in real products (not experimentation only).
 </li>
 <li>
 PostgreSQL &mdash; schema design, query optimization, migrations.
 </li>
 <li>
 Cloud + Delivery &mdash; AWS + Docker + CI/CD; production deployments and operational ownership.
 </li>
 <li>
 REST API Design &mdash; clean interfaces serving multiple clients (web, mobile, service-to-service).
 </li>
 <li>
 Startup Execution &mdash; experience in fast-paced, high-ownership environments.
 </li>
 </ul>
 
 
 
 
 
 Strong Plus:
 
 
 <ul>
 <li>
 Ruby on Rails (production) &mdash; built and maintained real Rails APIs with background jobs (e.g., Sidekiq), webhooks, and complex domain logic.
 </li>
 <li>
 Kubernetes (production) &mdash; EKS (or equivalent), Kubernetes-based deployments, operational ownership.
 </li>
 <li>
 GenAI Depth &mdash; experience designing RAG systems, prompt strategies, fine-tuning workflows, and evaluation/guardrails.
 </li>
 <li>
 Retrieval &amp; Vector Systems &mdash; vector databases (Pinecone, Weaviate, or similar), embedding strategies, namespace/tenancy design, reranking.
 </li>
 <li>
 Agent Orchestration &mdash; multi-agent patterns, tool use, chain composition (CrewAI, LangGraph, or similar).
 </li>
 <li>
 AI Tooling Ecosystem &mdash; LangChain, LlamaIndex, Hugging Face, or similar; LLM observability/tracing (LangSmith or equivalent).
 </li>
 <li>
 Full-Stack Fluency &mdash; strong collaboration with frontend teams to ship end-to-end product experiences; clean API contracts.
 </li>
 <li>
 React 19 (JavaScript) &mdash; Redux Toolkit, RTK Query, Vite, shadcn/ui.
 </li>
 <li>
 Flutter/Dart &mdash; mobile app development, BLoC pattern, Clean Architecture.
 </li>
 <li>
 Firebase/Firestore &mdash; real-time sync, Cloud Functions.
 </li>
 <li>
 Stripe &mdash; payment processing, webhook-driven architecture, Connect.
 </li>
 <li>
 MongoDB &mdash; document modeling; async drivers (Motor) is a plus.
 </li>
 <li>
 Multimodal AI &mdash; vision models; real-time audio/video AI (LiveKit, OpenAI Realtime API).
 </li>
 <li>
 Redis + Sidekiq &mdash; background job processing, caching.
 </li>
 <li>
 0&rarr;1 / Venture Studio Experience &mdash; building products from scratch in multi-product, high-velocity environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Compensation: $4,000-$5,000 USD/month base + bonus
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Paid Time Off (PTO)
 </li>
 <li>
 High ownership and autonomy
 </li>
 <li>
 Opportunity to build multiple AI-powered products from scratch
 </li>
 <li>
 A culture optimized for speed, impact, and technical excellence
 </li>
 </ul>
 
 
 
 
 
 Schedule &amp; Work Setup
 
 
 <ul>
 <li>
 Cairo-based candidates preferred
 </li>
 <li>
 Hybrid: expected at the Cairo office at least once per week
 </li>
 <li>
 Monday-Friday, aligned with U.S. Pacific Time
 </li>
 <li>
 High-autonomy, high-velocity engineering environment
 </li>
 </ul>
</div>

Tech Lead (AI + Full Stack/ Python) - Hands-On Builder

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