lighting engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deliverables
 </li>
 <ul>
 <li>
 System architecture and justification
 </li>
 <li>
 Definition of the system and sub-systems
 </li>
 <li>
 Requirement specification of system and sub-systems
 </li>
 <li>
 Answer to Request for Quotation
 </li>
 <li>
 System risks list (Track and monitor system risks and issues in the project)
 </li>
 <li>
 Traceability matrix with customer requirements
 </li>
 <li>
 Test coverage matrix
 </li>
 </ul>
 <li>
 scheduling and budgeting
 </li>
 <ul>
 <li>
 To manage system deliverables on time
 </li>
 <li>
 To establish, update and respect system budget
 </li>
 </ul>
 <li>
 Coordination
 </li>
 <ul>
 <li>
 Supports and/or represents the R&amp;D PTM in front of the customer.
 </li>
 <li>
 Guaranties the system consistency during the design and validation phase
 </li>
 <li>
 Reviews the system specification with the implementation and test M&eacute;tiers
 </li>
 <li>
 Participate in project and system m&eacute;tier meetings.
 </li>
 <li>
 Applies environment Safety and Security procedures and good practices.
 </li>
 <li>
 Known for their activities and the subcontractors' activities, the potential risk and their consequences, is attentive and responsive to them and manages the associated action plans
 </li>
 </ul>
 <li>
 Education/Training
 
 </li>
 </ul>
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Education/Training
 
 
 
 
 
 Bachelor&rsquo;s degree in Engineering (Relevant specialization), Computer Science.
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 
 Minimum 2~3 Years experience in designing embedded electronic System for Automotive or Industrial applications
 
 
 
 
 Knowledge of modeling/simulation tools and requirement management tools is a plus.
 
 
 
 
 Knowledge of automotive communication buses.
 
 
 
 
 
 Languages
 
 
 
 
 
 Good command of the English language is a must.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Familiar with requirement management tools like (DOORs/Codebeamer)
 
 
 
 
 Knowledge Of The Following Tools/Standards Is Plus
 
 
 
 <ul>
 <li>
 CatiaMagic, Matlab/Simulink and DSpace environment
 </li>
 <li>
 Cybersecurity knowledge ISO/SAE 21434
 </li>
 <li>
 Familiar with UDS 14229
 </li>
 <li>
 Familiar with safety ISO 2662
 </li>
 </ul>
</div>

System Design Engineer, LIGHT

<div>
 ResponsibilitiesAI-Driven Requirement Extraction
 
 
 <ul>
 <li>
 Manage and Do the requirement extraction service for the System and Product Architects Network utilizing the company AI tools. This role demands delivering high-accuracy results with rapid turnaround times to support architectural decision-making.
 
 
 </li>
 </ul>
 
 AI &amp; Intelligent Automation
 
 
 
 <ul>
 <li>
 Leverage AI technologies (e.g., AI agents, NLP, automation assistants) to support:
 </li>
 <li>
 Requirement extraction and analysis
 </li>
 <li>
 Compliance and traceability support
 </li>
 <li>
 Engineering data processing and reporting
 </li>
 <li>
 Propose and implement AI-based solutions to improve productivity and reduce manual effort.
 </li>
 <li>
 Collaborate with system engineers to ensure AI solutions align with engineering standards and quality requirements.
 
 
 </li>
 </ul>
 
 Tooling &amp; Scripting Development
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automation tools according to the defined roadmap.
 </li>
 <li>
 Document high-level requirements and technical specifications for developed tools.
 </li>
 <li>
 Develop scripts and applications to automate repetitive engineering activities (e.g., requirement handling, traceability, reports, metrics).
 </li>
 <li>
 Ensure maintainability by documenting tool architecture, design decisions, and usage guidelines.
 
 
 </li>
 </ul>
 
 Toolchain &amp; ALM Support
 
 
 
 <ul>
 <li>
 Define and support the required toolchain for System Engineering activities.
 </li>
 <li>
 Work with Requirement Management and ALM tools (e.g., Codebeamer, DOORS, Core ALM).
 </li>
 <li>
 Support integrations between tools and data sources when needed.
 
 
 </li>
 </ul>
 Key competencies
 
 Technical Skills
 
 
 
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience0 to 2 years experience in tools development
</div>

System Design engineer - AI & Tooling, LIGHT

IMPERIUM GROUP

<div>
 
 We are looking for an exceptionally creative and innovative
 
 Creative Content Creator
 
 to join our Marketing team. We are seeking a passionate storyteller who can transform architecture, interior design, landscape, and real estate projects into premium visual content that inspires and engages audiences.
 
 
 This role goes beyond traditional content creation. The ideal candidate will combine creative thinking, AI-powered content creation, professional videography, photography, video editing, graphic design, and digital storytelling to produce high-impact content across all digital platforms.
 
 
 You will be responsible for developing original content ideas, creating compelling visual narratives, leveraging the latest AI technologies to enhance productivity and creativity, and producing premium-quality content that strengthens our brand identity and market presence. Previous experience within architecture, interior design, engineering consultancy, construction, fit-out, or real estate is mandatory.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop innovative content concepts and creative campaigns that align with the company's branding and marketing strategy.
 </li>
 <li>
 Generate fresh and engaging content ideas for social media, digital marketing campaigns, project launches, employer branding, and corporate communications.
 </li>
 <li>
 Utilize modern AI tools to enhance content ideation, script writing, image generation, video enhancement, visual storytelling, and creative workflows while maintaining premium quality standards.
 </li>
 <li>
 Capture professional photography and videography of architecture, interior design, landscape, and real estate projects.
 </li>
 <li>
 Produce cinematic project walkthroughs, interviews, testimonials, behind-the-scenes content, promotional videos, and short-form social media content.
 </li>
 <li>
 Edit high-quality videos using professional editing software with advanced transitions, motion graphics, sound design, and visual effects.
 </li>
 <li>
 Design creative marketing materials, digital assets, presentations, advertisements, and social media visuals while maintaining brand consistency.
 </li>
 <li>
 Collaborate closely with architects, interior designers, engineers, project managers, and the marketing team to transform technical projects into engaging visual stories.
 </li>
 <li>
 Develop and execute monthly content calendars and campaign plans.
 </li>
 <li>
 Stay updated with emerging AI technologies, digital trends, social media algorithms, and industry best practices.
 </li>
 <li>
 Organize and manage digital media assets, ensuring consistency across all marketing channels.
 </li>
 <li>
 Support exhibitions, corporate events, project launches, and branding initiatives through creative multimedia production.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Marketing, Multimedia, Graphic Design, Digital Media, Mass Communication, Fine Arts, or a related field.
 </li>
 <li>
 Minimum 7 years of professional experience as a Creative Content Creator, Multimedia Specialist, Digital Content Creator, or similar role.
 </li>
 <li>
 Mandatory experience within Architecture, Interior Design, Engineering Consultancy, Construction, Fit-Out, or Real Estate companies.
 </li>
 <li>
 Strong portfolio demonstrating creative campaigns, professional photography, videography, video editing, graphic design, and digital storytelling.
 </li>
 <li>
 Advanced proficiency in Adobe Premiere Pro, After Effects, Photoshop, Illustrator, Lightroom, and Adobe Creative Suite.
 </li>
 <li>
 Proven experience using AI-powered creative tools for content creation, visual generation, video production, scripting, editing, and workflow optimization.
 </li>
 <li>
 Strong creative thinking and the ability to independently generate original, high-quality content ideas.
 </li>
 <li>
 Excellent photography, videography, lighting, and composition skills.
 </li>
 <li>
 Experience producing premium social media content, cinematic reels, promotional campaigns, and project showcase videos.
 </li>
 <li>
 Strong understanding of branding, digital marketing, content strategy, and audience engagement.
 </li>
 <li>
 Excellent communication, organization, and project management skills.
 </li>
 <li>
 Ability to manage multiple projects while meeting deadlines in a fast-paced environment.
 </li>
 </ul>
 
 
 
</div>

Creative Content Creator

Whitehall Resources

<div>
 
 
 
 Senior IoT Solutions Engineer
 
 
 
 
 An exciting new
 
 Senior IoT Solutions Engineer
 
 opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 
 
 In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 
 
 If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 
 
 
 
 Do you have:
 
 
 
 <ul>
 <li>
 5+ years' experience designing and delivering enterprise IoT solutions
 </li>
 <li>
 Strong experience with IoT platforms, and cloud-based architectures
 </li>
 <li>
 Experience with Azure IoT or similar cloud IoT platforms
 </li>
 <li>
 Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
 </li>
 <li>
 Experience working with SQL databases
 </li>
 <li>
 Deep understanding of commercial IoT use cases
 </li>
 <li>
 Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
 </li>
 <li>
 Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
 </li>
 </ul>
 
 
 
 Do you want:
 
 
 
 <ul>
 <li>
 To play a key role in the design and evolution of enterprise IoT platforms?
 </li>
 <li>
 To work with modern cloud, data and integration technologies?
 </li>
 <li>
 To collaborate with international engineering, data and product teams?
 </li>
 <li>
 To be part of exciting projects delivering connected products at scale?
 </li>
 </ul>
 
 
 If so, then please do apply!
 
 
 
 
 IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
 
 
</div>

Senior IoT Solutions Engineer

Sonata Software

<div>
 
 
 CSA GD Job Description for Windows Server &amp; Client along with SCCM &amp; Intune. (Egypt)
 
 
 
 We are seeking a highly skilled and experienced Platforms Architect to join our team. The ideal candidate will have extensive knowledge and hands-on experience with
 
 Windows Server &amp; Client along with SCCM &amp; Intune. (Above 10 yrs experience with English and Arabic)
 
 
 
 
 Windows Server.
 
 
 
 The Microsoft Platform Engineer (Client, servers and virtualization) Engineer role requires knowledge and experience in a number of the following technologies/areas:
 
 <ul>
 <li>
 Experience with Deployment technologies like WDS, MDT, High Availability technologies like storage Backup Hyper-V.
 </li>
 <li>
 Expertise on Storage SAN NAS DAS understanding of storage stack its architecture.
 </li>
 <li>
 Virtualization (Hyper-V) : Monolithic and Microkernel, Hyper-V ring Architecture.
 </li>
 <li>
 VHD and AVHDX Merging Checking integrity with its differencing chain.
 </li>
 <li>
 Failover, Planned Failover, Test Failure, Unplanned Failover.
 </li>
 <li>
 Hyper-V Migration.
 </li>
 <li>
 Windows as a service with its deployment rings concepts, co-management with MEMCM is an added advantage.
 </li>
 <li>
 Troubleshooting windows updates issues and understanding of Component based servicing.
 </li>
 <li>
 Understanding of Patch Management and experience with Windows Server Update Services (WSUS).
 </li>
 <li>
 Windows Server Operating System knowledge which includes understanding of NTFS/Share Permissions, File Sharing, Performance Monitoring, Event logging, Task Manager, Windows Firewall, User and Group Management.
 </li>
 <li>
 Understanding of WMI and familiarity with WMI queries
 </li>
 <li>
 Active Directory concepts such as Kerberos, LDAP, Sites and Security Groups.
 </li>
 <li>
 Understanding of TCP/IP and other networking services: DNS, WINS, DHCP, Routing.
 </li>
 <li>
 Exceptional Problem-Solving and Communication Skills - Spoken and written English (including technical writing).
 </li>
 </ul>
 
 
 
 
 
 Windows client
 
 
 
 Role type Customer Engineer - CSA Skills Required Broad knowledge of Windows Server &amp; Windows 10 and Windows 11 platforms, including deployment, management, and troubleshooting.
 
 
 Expertise in Windows 365, providing seamless hybrid work environments by integrating with Azure Virtual Desktop.
 
 
 Proficiency in Microsoft Intune for device management, including application deployment, security baselines, and dynamic provisioning.
 
 
 Experience with Windows Hello for Business, Windows Sandbox Management, and Endpoint Analytics for Windows 11.
 
 
 Ability to manage and configure Windows 365 Cloud PCs, ensuring consistent and uninterrupted work experiences.
 
 
 Windows &amp; Cloud Environments Windows 10/11 &ndash; Deployment, configuration, troubleshooting
 
 
 Windows 365 Cloud PC
 
 
 &ndash; Provisioning, optimization, licensing, and performance tuning Entra ID (Azure AD) Hybrid Join &amp; Entra Join
 
 
 &ndash; Configuration and troubleshooting Windows Update for Business (WUFB)
 
 
 &ndash; Update compliance and management LAPS (Local Administrator Password Solution) &amp; Windows LAPS
 
 
 &ndash; Configuration, management, and differences KMS / MAK Licensing / Cloud-based licensing
 
 
 &ndash; For W365 and traditional enterprise activation Virtual Desktop &amp; Cloud Solutions Windows 365 vs. Azure Virtual Desktop (AVD)
 
 
 &ndash; Use case comparison and best practices Networking &amp; Bandwidth Tuning
 
 
 &ndash; Optimizing Cloud PC performance Security &amp; Compliance Microsoft Defender for Endpoint (MDE)
 
 
 &ndash; Security policies, monitoring, and integrations Conditional Access &amp; Device Compliance
 
 
 &ndash; Enforcing security baselines (GPOs, Intune at a high level) BitLocker &amp; Windows Hello for Business
 
 
 &ndash; Encryption and authentication Security Standards &amp; Baselines
 
 
 &ndash; NIST 800-53, Zero Trust principles Application Management &amp; Deployment Winget &amp; MSIX Packaging
 
 
 &ndash; Modern app deployment Microsoft Store for Business (MsFB) Private Store Deprecation
 
 
 &ndash; Transition planning Identity &amp; Authentication Entra AD (Azure AD) &amp; Hybrid Join
 
 
 &ndash; When and how to use them Single Sign-On (SSO) &amp; Multi-Factor Authentication (MFA)
 
 
 &ndash; Securing endpoints RBAC (Role-Based Access Control)
 
 
 &ndash; Ensuring scoped access Networking &amp; Connectivity VPN &amp; Always-On VPN
 
 
 &ndash; Secure remote access Cloud PC Networking
 
 
 &ndash; Latency, bandwidth, and connectivity considerations Wi-Fi Authentication
 
 
 &ndash; 802.1X, certificate-based authentication DNS, DHCP, Firewall Basics
 
 
 &ndash; Endpoint connectivity essentials Monitoring &amp; Troubleshooting Windows Event Logs Perf Logs &amp; Defender Logs
 
 
 &ndash; Digging into issues Performance Monitoring
 
 
 &ndash; Task Manager, Resource Monitor, Sysinternals tools Remote Troubleshooting
 
 
 &ndash; Quick Assist, Remote Desktop Other Essential Skills Problem-Solving Mindset
 
 
 &ndash; Can diagnose and resolve complex issues Scripting &amp; Automation
 
 
 &ndash; PowerShell for automation and remediation Documentation &amp; Knowledge Sharing
 
 
 &ndash; Creating technical guides and best practices Collaboration
 
 
 &ndash; Working cross-functionally with security, networking, and IT teams User-Centric Approach
 
 
 &ndash; Balancing security and usability Optional Skills 8+ years&rsquo; experience with customer facing roles in systems architecture, administration, operations, software support, IT consulting, on-premises and cloud support or consulting for enterprise and/or government customer base, and advanced troubleshooting
 
 
 
 SCCM/Intune Customer Engineer
 
 
 
 We are looking for a SCCM/Intune Customer Engineer to provide technical support for Microsoft Endpoint Configuration Manager (SCCM) and Microsoft Intune environments. This role focuses on assisting customers with request resolution, troubleshooting, and day-to-day operational support, helping ensure reliable endpoint management across on-premises and cloud-based devices.
 
 
 Key Responsibilities
 
 
 &bull; Responsibilities include, but are not limited to, the following examples:
 
 
 &bull; Provide Tier 3 support to customers for technical requests related to SCCM and Intune environments.
 
 
 &bull; Proactively review customer concerns and provide recommendations to improve endpoint management, user experience, and policy compliance.
 
 
 &bull; Investigate and resolve requests related to:
 
 
 &bull; - SCCM: application deployment, task sequences, driver packages, software update groups (SUGs), boundaries and boundary groups, distribution point health, and client push installation.
 
 
 &bull; - Intune: device compliance policies, configuration profiles, app protection policies, Autopilot deployment profiles, and co-management setup.
 
 
 &bull; Support mobile device management (MDM) requests, including:
 
 
 &bull; - Enrollment and management of iOS, Android, and Windows 10/11 devices.
 
 
 &bull; - Mobile app deployment via Intune (store apps, LOB apps, and web links).
 
 
 &bull; - Addressing customer requests related to enrollment challenges, access configurations, and policy enforcement across mobile platforms.
 
 
 &bull; Assist customers with transitioning workloads from SCCM to Intune, including Windows Update for Business, endpoint security, and app deployment.
 
 
 &bull; Analyze logs and diagnostics (e.g., CMTrace, Event Viewer, Intune troubleshooting blade, MDM Diagnostic stool) to identify root causes and resolve requests efficiently.
 
 
 &bull; Provide clear, professional technical guidance to customers and internal teams, adjusting communication style based on audience and context.
 
 
 &bull; Document support requests, investigation steps, resolutions, and known best practices.
 
 
 &bull; Collaborate with engineering or escalation teams when advanced troubleshooting or deeper investigation is required.
 
 
 
 
 
 Soft Skills &amp; Presentation skills
 
 
 &bull; Strong communication skills with the ability to translate complex technical topics into simple, customer-friendly language.
 
 
 &bull; Active listening and empathy when engaging with end users or customer teams.
 
 
 &bull; Adaptable and calm under pressure, especially when working with high-impact or time-sensitive support requests.
 
 
 &bull; Excellent time management, prioritization, and follow-through. &bull; Strong sense of ownership and accountability for customer experience and outcomes.
 
 
 &bull; Collaborative mindset with a willingness to work cross-functionally to drive resol
 
 
 
 
 
 Good to have : Azure certifications (Azure Solutions Architect Expert; Azure Security Engineer Associate; Azure Administrator Associate)
 
 
 Understanding of competitor clouds and how they compare to Microsoft solutions.
 
 
 Technical experience with hybrid infrastructures, architecture designs, and technology management.
 
 
 Proven track record in successfully planning, deploying, operating, and optimizing cloud environments.
 
 
 Advanced Microsoft certifications are preferred.
 
</div>

Customer Solutions Architect

Intellias

<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)

<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)

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