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Future Group Language Solutions

<div>
 
 About The Role
 
 
 
 We are looking for an
 
 Applied AI Engineer
 
 to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
 
 
 This is an
 
 AI-first engineering role
 
 , where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using LLMs.
 </li>
 <li>
 Build and optimize RAG and GraphRAG pipelines.
 </li>
 <li>
 Develop AI agents and multi-agent workflows for business automation.
 </li>
 <li>
 Design and manage knowledge graphs using GraphDB technologies.
 </li>
 <li>
 Integrate enterprise data sources with AI applications.
 </li>
 <li>
 Engineer prompts, workflows, and agent orchestration for reliable AI systems.
 </li>
 <li>
 Evaluate and optimize AI models for quality, latency, scalability, and cost.
 </li>
 <li>
 Build production-ready APIs and AI services.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver AI-driven products.
 </li>
 <li>
 Stay up to date with the latest AI models, frameworks, and best practices.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
 </li>
 <li>
 3+ years of experience developing AI-powered or data-intensive applications.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).
 </li>
 <li>
 Experience implementing Retrieval-Augmented Generation (RAG).
 </li>
 <li>
 Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.
 </li>
 <li>
 Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.
 </li>
 <li>
 Experience integrating AI models through APIs and SDKs.
 </li>
 <li>
 Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with GraphRAG architectures.
 </li>
 <li>
 Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
 </li>
 <li>
 Experience with Model Context Protocol (MCP).
 </li>
 <li>
 Prompt engineering and AI evaluation frameworks.
 </li>
 <li>
 Knowledge of semantic search and hybrid retrieval.
 </li>
 <li>
 Experience with FastAPI, Django, or Flask.
 </li>
 <li>
 Familiarity with Kubernetes, CI/CD pipelines, and microservices.
 </li>
 <li>
 Experience building knowledge graphs and ontology design.
 
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to build cutting-edge AI products.
 </li>
 <li>
 Collaborative and innovative engineering environment.
 </li>
 <li>
 Exposure to the latest AI technologies and frameworks.
 </li>
 <li>
 Professional growth and continuous learning opportunities.
 </li>
 <li>
 Competitive salary and benefits package.
 
 
 
 </li>
 </ul>
 Join Our Team
 
 
 If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!
</div>

Applied AI Engineer (AI-First / Vibe Coding)

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Cairo to build, evaluate, and improve AI-generated code &mdash; helping train AI systems to think like real developers.
 
 
 You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development &mdash; not theoretical, not bureaucratic, and not boring.
 
 
 This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, debug, and optimize code across a range of languages, frameworks, and problem domains
 </li>
 <li>
 Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
 </li>
 <li>
 Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
 </li>
 <li>
 Provide structured, detailed feedback explaining why code works &mdash; or doesn't
 </li>
 <li>
 Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
 </li>
 <li>
 Compare and rank multiple AI-generated solutions based on engineering quality
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software design principles
 </li>
 <li>
 Able to read, write, and reason about code with clarity and precision
 </li>
 <li>
 Strong problem-solving instincts and a systematic debugging approach
 </li>
 <li>
 Clear written communicator &mdash; you can explain technical decisions in plain language
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field &mdash; or equivalent practical experience
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
 </li>
 <li>
 Familiarity with AI/ML concepts, LLMs, or prompt engineering
 </li>
 <li>
 Background in code review, technical writing, or mentoring junior developers
 </li>
 <li>
 Experience with cloud platforms, DevOps, or distributed systems
 </li>
 <li>
 Competitive programming, open-source contributions, or side projects that demonstrate your craft
 </li>
 <li>
 Advanced degree in Computer Science or related discipline
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with intellectually stimulating, high-impact work
 </li>
 <li>
 Directly influence how AI writes, understands, and reasons about code
 </li>
 <li>
 Sharpen your own engineering skills by evaluating diverse problems daily
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer (AI Training)

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

<div>
 
 Marketing Instructor (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're looking for experienced marketing educators to help shape how AI understands branding, consumer behavior, and marketing strategy. Your real-world knowledge and teaching instincts will directly influence the quality of AI systems used by millions &mdash; making this one of the most impactful ways to apply your expertise right now.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated marketing questions, scenarios, and strategic explanations used in model training
 </li>
 <li>
 Assess the quality of AI reasoning around brand positioning, messaging frameworks, and go-to-market strategy
 </li>
 <li>
 Provide clear, structured feedback that improves the accuracy and real-world relevance of AI outputs
 </li>
 <li>
 Apply your teaching experience to identify common misconceptions and gaps in marketing logic
 </li>
 <li>
 Work independently and asynchronously &mdash; on your schedule, at your pace
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching marketing at the postsecondary level
 </li>
 <li>
 Strong command of marketing strategy, consumer behavior, and business communication
 </li>
 <li>
 Able to critically evaluate written strategic reasoning and provide actionable feedback
 </li>
 <li>
 Detail-oriented, self-motivated, and comfortable working independently
 </li>
 <li>
 No prior AI experience required &mdash; we'll get you up to speed
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master's degree in Marketing, Business, or a related field
 </li>
 <li>
 Hands-on industry experience in marketing, growth, or brand strategy
 </li>
 <li>
 Familiarity with AI tools or content evaluation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work when and where it suits you
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Contribute to meaningful work that shapes how AI understands the business world
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Marketing Instructor

CNTXT AI

<div>
 
 About Munsit AI
 
 
 Munsit AI is building AI-powered products that transform how businesses create, collaborate, and scale. We're looking for a data-driven Web/Growth Engineer who combines strong software engineering skills with a growth mindset to optimise user acquisition, activation, engagement, and conversion across our digital products.
 
 
 Role Overview
 
 
 As a Web/Growth Engineer, you'll bridge engineering, marketing, and product to build high-performing web experiences that drive measurable business growth. You'll own experimentation, landing page development, analytics implementation, SEO improvements, and conversion optimization while ensuring exceptional performance and user experience.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Build, maintain, and optimize high-converting marketing websites and landing pages.
 
 </li>
 <li>
 
 Develop scalable frontend experiences using modern JavaScript frameworks.
 
 </li>
 <li>
 
 Design and implement A/B tests and growth experiments to improve conversion rates.
 
 </li>
 <li>
 
 Collaborate with Product, Design, and Marketing teams to rapidly launch campaigns and features.
 
 </li>
 <li>
 
 Optimize website performance, Core Web Vitals, and overall user experience.
 
 </li>
 <li>
 
 Implement analytics, event tracking, and conversion measurement across web properties.
 
 </li>
 <li>
 
 Improve technical SEO, site architecture, structured data, and page indexing.
 
 </li>
 <li>
 
 Integrate CRM, marketing automation, and third-party growth tools.
 
 </li>
 <li>
 
 Monitor user behavior using analytics and session recording tools to identify optimization opportunities.
 
 </li>
 <li>
 
 Automate growth workflows and improve marketing operations through engineering solutions.
 
 </li>
 <li>
 
 Ensure websites are secure, responsive, accessible, and scalable.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 <ul>
 <li>
 
 Bachelor's degree in Computer Science, Software Engineering, or a related field.
 
 </li>
 <li>
 
 5+ years of relevant experience.
 
 </li>
 <li>
 
 Strong proficiency in JavaScript/TypeScript.
 
 </li>
 <li>
 
 Experience with React, Next.js, or similar modern frontend frameworks.
 
 </li>
 <li>
 
 Experience implementing analytics tools such as Google Analytics 4, Mixpanel, Amplitude, or PostHog.
 
 </li>
 <li>
 
 Hands-on experience with A/B testing platforms and experimentation frameworks.
 
 </li>
 <li>
 
 Understanding of SEO best practices, technical SEO, and Core Web Vitals.
 
 </li>
 <li>
 
 Familiarity with REST APIs, GraphQL, and third-party integrations.
 
 </li>
 <li>
 
 Strong problem-solving skills with a data-driven approach to decision-making.
 
 
 
 </li>
 </ul>
</div>

Web/Growth Engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

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