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Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 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>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </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>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

Red Bull

<div>
 The manager will be responsible for
 
 forecasting demand and planning supply
 
 to ensure product availability, optimize inventory levels, and align with the company&rsquo;s sales and financial goals. By working closely with Sales, Marketing, Finance, and other stakeholders, you will lead the
 
 Integrated Business Planning (IBP)
 
 process and drive collaboration across the supply chain.
 
 
 
 All the responsibilities we'll trust you with:
 
 
 
 
 Demand Planning:
 
 
 
 Analyze past sales and marketing trends to create accurate forecasts Work with Sales, Marketing, and Finance teams to finalize demand plans and ensure alignment Manage forecasts for products and Point-of-Sale materials (POSM), considering potential challenges and opportunities
 
 
 
 Supply Planning:
 
 
 
 Develop and execute supply plans to meet demand while optimizing inventory levels. Ensure consistent product availability, manage stock freshness, and plan for new product launches. Collaborate with logistics partners to ensure smooth operations from production to delivery
 
 
 
 S&amp;OP Leadership:
 
 
 
 Lead monthly Sales and Operations Planning (S&amp;OP) meetings with internal and external stakeholders. Align local supply plans with global strategies and address constraints.
 
 
 
 Inventory &amp; Distribution Management:
 
 
 
 Monitor distributor stock levels to prevent shortages or excess stock. Identify and address risks like slow-moving inventory or potential stock expiration. Manage the planning and deployment of coolers and POSM (200M EGP value in 2023).
 
 
 
 Reporting &amp; Insights:
 
 
 
 Track key supply chain performance metrics (e.g., forecast accuracy, inventory levels, and costs). Provide regular updates to leadership and distribution partners to improve operations and decision-making.
 
 
 
 Project Management:
 
 
 
 Lead new product launches and oversee supply chain projects to ensure timely delivery and market success. Work closely with external partners and regulatory authorities to meet market requirements.
 
 
 
 Your areas of knowledge and expertise that matter most for this role:
 
 
 
 <ul>
 <li>
 7-8+ years of experience in demand and supply planning, sales forecasting, and end-to-end supply chain operations.
 </li>
 <li>
 Strong analytical and problem-solving skills with expertise in data analysis and forecasting tools (e.g., SAP, IBP, Excel).
 </li>
 <li>
 Proven ability to collaborate across departments (Sales, Marketing, Finance) and manage stakeholders, including third-party logistics (3PL) and distribution partners.
 </li>
 <li>
 Excellent communication, negotiation, and organizational skills.
 </li>
 <li>
 Experience driving efficiency and leading change in supply chain processes.
 </li>
 <li>
 Bachelor&rsquo;s degree in Supply Chain, Business, or a related field (APICS certification is a plus).
 </li>
 </ul>
</div>

Supply & Demand Planning Manager

adidas

<div>
 
 Purpose &amp; Overall Relevance For The Organisation
 
 
 
 The DC manager assume the responsibility for the management of the inbound product flow of adidas from suppliers until stocks are booked in addition to the management &amp; execution of the DC Operations and order book for customers by coordinating/matching supply and demand within the supply chain and ensuring orders are fulfilled on time &amp; in full.
 
 
 Managing and coaching the entire Inbound and DC team in Egypt and building strong cross functional relations within SCM functions and other stakeholders, with a focus on the Retail, Wholesale, eCom, and Finance teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Accountable for accurate and timely inbound product flow management of adidas product.
 </li>
 <li>
 Responsible for continuous streamlining of Inbound process and adhering to standards, policies, customs regulations &amp; controls.
 </li>
 <li>
 Operational management of the distribution center and transportation operations for both B2B &amp; B2C in Egypt.
 </li>
 <li>
 Coordinating internally with Logistics Provider to ensure excellent warehouse management and on-time delivery.
 </li>
 <li>
 Coordinate the release of themes &amp; campaigns with marketing/retail and ensure on time deliveries to the markets.
 </li>
 <li>
 Establish reporting criteria within the scope of Inbound &amp; DC Ops status and ensure reports are published as per the timelines.
 </li>
 <li>
 Support negotiations with 3PL and Transporters and initiate tender for contract renewals.
 </li>
 <li>
 Prepare with full diligence all related documents (invoices, packing lists, COO, &hellip; etc.) for Inbound and Outbound shipments to ensure accurate payment of customs duties and efficient clearance.
 </li>
 <li>
 Support the overall operations team by taking lead in timely submission of Global KPIs, inventory management.
 </li>
 <li>
 Coaching and managing of Egypt Inbound and DC operations team.
 </li>
 <li>
 Responsible for managing entire supply chain budget for Egypt - timely monitoring, and leading efficiency initiatives.
 </li>
 <li>
 Actively participate / lead SCM transformation initiatives like ecommerce capabilities, automation, DC network strategy, supply chain excellence etc.
 </li>
 <li>
 Continuously identify areas of improvement in supply chain operations which bring in efficiency or improve customer experience.
 </li>
 <li>
 Work cross-functionally with field operations and other functions to drive influence in capacity planning and management.
 </li>
 <li>
 Actively participate / lead SCM transformation initiatives like ecommerce capabilities, automation, DC network strategy, supply chain excellence etc.
 </li>
 <li>
 Collaborating with SCM cluster head, understanding the forecasted volumes and priorities, organizing and motivating all distribution center staff to achieve delivery of all customers&rsquo; orders on time.
 </li>
 <li>
 Preparing ad-hoc analysis, reports and new projects.
 </li>
 <li>
 Measures forwarder&rsquo;s performance on a regular basis and communicate to concerned parties for analysis and improvement recommendations.
 </li>
 <li>
 Responsible for local/Global 3PL account management and coordination from volume allocation, formulation and maintenance of processes, policies, contracts and standard operating procedures (SOP).
 </li>
 <li>
 Ensures that adidas follows all the local market requirements.
 
 
 </li>
 </ul>
 
 Key Relationships
 
 
 
 <ul>
 <li>
 Global: Yes
 </li>
 <li>
 Regional: Yes
 </li>
 <li>
 Local:
 </li>
 <ul>
 <li>
 Retail, Ecommerce, DPC and Wholesale business teams
 </li>
 <li>
 Finance
 </li>
 <li>
 3 PL &ndash; Freight forwards, Customs brokers, DC, and last mile service provider.
 
 </li>
 </ul>
 </ul>
 
 Skills And Experience Required
 
 
 
 <ul>
 <li>
 University degree in Management, Business, or Engineering. Logistics, Supply chain preferred and Post Graduation is a plus.
 </li>
 <li>
 IT Skills &ndash; Advanced in MS Office (primarily Excel, PowerPoint); Power Bi and SAP experience preferred.
 </li>
 <li>
 Min. 6 years of overall work experience in Logistics &amp; Distribution Centre, preferably Apparel/Footwear and Retail/Ecom vertical
 </li>
 <li>
 Management experience for at least 2 years.
 </li>
 <li>
 University degree in Management. Logistics, Supply chain preferred and Post Graduation is a plus.
 </li>
 <li>
 Ability to manage a multi-faceted team in an operations environment, with an understanding of unified commerce principles.
 </li>
 <li>
 Strong track-record of problem-solving, including structuring problems, performing detailed analysis, and developing/implementing recommendations.
 
 
 </li>
 </ul>
 adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an equal opportunity employer.
</div>

Manager Distribution Center Operations

<div>
 
 
 Python / AI Engineer (AWS Bedrock, Multi-Agent AI)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Python / AI Engineer
 
 to design, build, and test intelligent multi-agent applications running on
 
 AWS Bedrock
 
 . In this role, you will develop AI agents using modern agent frameworks, implement agent collaboration and delegation patterns, integrate foundation models, and establish testing and evaluation practices for production-grade AI solutions.
 
 
 You will work closely with AI engineers, platform teams, and architects to build scalable, maintainable, and enterprise-ready agent-based applications.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Python / AI Engineer
 
 , you will become part of the
 
 Core Architecture Team
 
 , contributing to the development of a modern Digital Engineering Enterprise Platform.
 
 
 The platform provides engineering teams with reusable services, development tools, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain AI agent applications using Python and modern agent frameworks such as LangGraph, Strands, CrewAI, or equivalent.
 </li>
 <li>
 Build intelligent multi-agent workflows with collaboration and delegation capabilities.
 </li>
 <li>
 Integrate AI agents with AWS Bedrock foundation models and related AWS AI services.
 </li>
 <li>
 Develop Agent-to-Agent (A2A) communication using JSON-RPC 2.0, Server-Sent Events (SSE), and related communication patterns.
 </li>
 <li>
 Design and implement automated testing strategies for agent behavior, workflow correctness, and system reliability.
 </li>
 <li>
 Build evaluation frameworks using pytest, LangSmith, and other testing and validation tools.
 </li>
 <li>
 Create reusable components, templates, and pattern libraries that accelerate AI application development.
 </li>
 <li>
 Produce clear technical documentation, implementation guides, and engineering best practices.
 </li>
 <li>
 Collaborate with platform, AI, DevOps, and product teams to deliver scalable and production-ready AI solutions.
 </li>
 <li>
 Monitor, troubleshoot, and optimize agent performance, reliability, and operational efficiency.
 </li>
 <li>
 Promote engineering excellence through observability, testing, governance, and AI application lifecycle best practices.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 4+ years of professional Python software development experience.
 </li>
 <li>
 Hands-on experience with at least one modern agent framework such as LangGraph, Strands, Crew AI, or an equivalent framework.
 </li>
 <li>
 Experience implementing multi-agent collaboration and delegation patterns.
 </li>
 <li>
 Experience integrating applications with AWS Bedrock APIs and foundation models.
 </li>
 <li>
 Knowledge of Agent-to-Agent (A2A) communication patterns, including JSON-RPC 2.0 and Server-Sent Events (SSE).
 </li>
 <li>
 Experience building automated testing frameworks using pytest and AI evaluation tools such as LangSmith.
 </li>
 <li>
 Experience writing technical documentation and creating reusable engineering assets.
 </li>
 <li>
 Strong understanding of software engineering best practices, code quality, and testing methodologies.
 </li>
 <li>
 Excellent problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with the Strands SDK.
 </li>
 <li>
 Experience with LangSmith tracing, evaluation, and observability.
 </li>
 <li>
 Familiarity with prompt engineering and AI evaluation methodologies.
 </li>
 <li>
 Experience deploying AI applications in AWS cloud environments.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Build intelligent multi-agent applications using the latest AI frameworks and AWS Bedrock technologies.
 </li>
 <li>
 Collaborate with experienced architects and AI engineers on innovative cloud-native solutions.
 </li>
 <li>
 Contribute to engineering standards, reusable frameworks, and best practices for enterprise AI development.
 </li>
 <li>
 Be part of a team shaping the future of production-grade AI applications at global scale.
 </li>
 </ul>
 
 
 
</div>

Senior Python / AI Engineer (AWS Bedrock, Multi-Agent AI)

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
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 The opportunity to lead AI and technology initiatives with real global impact.
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 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

AllCare.ai

<div>
 
 Company: AllCare.ai | Healthcare Concierge (Care Partner) | Remote (Egypt-based)
 
 
 
 
 
 
 The Mission
 
 
 
 AllCare.ai is an AI-powered healthcare delivery platform that acts as the easy button for Assisted Living operators. We combine advanced artificial intelligence with compassionate onsite care to eliminate the logistical chaos of senior living healthcare. Instead of operators coordinating appointments, transport, and vendors, our technology and field teams bring the entire clinic directly to the resident's doorstep. We don't just coordinate care &mdash; we deliver care.
 
 
 
 
 
 
 The Growth
 
 
 
 We are in a phase of exponential expansion driven by urgent market demand. Today, we support care delivery for over 5,000 residents across California, and we have been doubling our resident base every three months. We're building a remote Healthcare Concierge team in Egypt to serve as the relationship backbone of our business as we scale.
 
 
 
 
 
 
 The Opportunity
 
 
 
 The Provider &amp; Care Operations Specialist will be responsible for coordinating provider logistics including scheduling &amp; routing to ensure smooth day-to-day operations across our provider network. This role serves as the primary operational link between providers, facilities, internal teams, and pharmacy operations to ensure high-quality service delivery and operational efficiency.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
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 Coordinate provider schedules and daily routing.
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 Manage provider assignments and optimize utilization.
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 Communicate with Care partners to confirm schedules, patient census, and operational changes.
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 Coordinate with Care partners, MAs, and Dispatch teams to ensure seamless patient care.
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 Support provider onboarding and operational readiness.
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 Monitor daily operational KPIs and proactively resolve scheduling or service issues.
 </li>
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 Maintain accurate operational records and reporting.
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 Escalate operational risks and recommend process improvements.
 </li>
 </ul>
 
 
 
 
 
 Who This Is For
 
 
 <ul>
 <li>
 Has 2-5 years of experience in healthcare operations, provider operations, dispatch, care coordination, or logistics.
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 Has strong organizational and multitasking skills.
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 Is comfortable working in a fast-paced, highly dynamic environment.
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 Has excellent written and verbal communication skills.
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 Is highly analytical and detail-oriented.
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 Demonstrates strong ownership, accountability, and problem-solving abilities.
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 Is proficient in Microsoft Excel and comfortable learning new systems.
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 Experience with healthcare providers, scheduling, routing, home health, mobile care, or long-term care operations is highly preferred.
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 On US time, fully. Your work calendar runs on the US Pacific week. You'll take time off when your facilities take time off &mdash; Thanksgiving, Christmas, Memorial Day, Labor Day, and the rest. This isn't a perk we bolted on; it's how the job works.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 B.Pharm or PharmD degree from an accredited Egyptian university.
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 2+ year of experience in community pharmacy, clinical pharmacy, pharmaceutical customer service, or US-facing healthcare BPO. New graduates with strong English and customer orientation will be considered.
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 Fluent written and spoken English. Neutral accent preferred; clarity and warmth required.
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 <li>
 Willingness and ability to work US Pacific Time hours
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 <li>
 US holiday calendar. This team observes US federal holidays, not Egyptian holidays. You'll work on Egyptian public holidays when they don't overlap with US ones, and you'll be off when the US is off (Thanksgiving, Christmas Eve/Day, New Year's Day, 4th of July, Memorial Day, Labor Day, and similar).
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 <li>
 Strong comfort with modern tools &mdash; CRM, task management, communication platforms &mdash; and an AI-forward mindset. Care Partners work alongside AI daily.
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 <li>
 Detail-oriented, process-disciplined, and calm under pressure.
 </li>
 <li>
 Stable home internet, quiet workspace, and a dedicated laptop setup suitable for remote voice work.
 </li>
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 Based in Egypt with valid work authorization.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Prior experience serving US clients (healthcare BPO, medical tourism, telehealth).
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 <li>
 Familiarity with US pharmacy workflows, US drug brand names, and US insurance basics.
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 <li>
 Experience in a Primary/Secondary account coverage model or named-account service model.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Base salary: $700 USD/month, plus monthly performance bonus up to $400/month based on operational KPIs
 </li>
 <li>
 US holiday calendar &mdash; you're off when your facilities are off (Thanksgiving, Christmas, Memorial Day, Labor Day, and more).
 </li>
 <li>
 Health benefits and paid time off.
 </li>
 </ul>
</div>

Provider & Care Operations Specialist

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