ai automation engineer

D.A. Davidson Companies

<div>
 D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients&rsquo; financial well-being, we also work to strengthen local communities&mdash;and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.
 
 
 
 Summary/Function:
 
 
 We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and automated workflows using tools like Microsoft 365 Copilot Studio, Power Automate, and Azure AI Foundry. The ideal candidate will combine software engineering expertise with a passion for leveraging AI to transform business processes in a financial services and wealth management domain. You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users.
 
 
 
 Qualifications:
 
 
 
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 Education &amp; Experience: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field. 5+ years of experience in software development, automation engineering, or similar roles
 </li>
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 Microsoft Ecosystem Proficiency: Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation. Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services)
 </li>
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 Programming Skills: Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions. Experience building or consuming RESTful APIs and working with data integration
 </li>
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 Cloud &amp; AI Knowledge: Working knowledge of Azure cloud services and AI/ML frameworks. Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.)
 </li>
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 DevOps Mindset: Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects. Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes
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 Problem-Solving &amp; Communication: Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs. Excellent communication skills to work effectively with both technical and non-technical team members
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 Coordination: Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more
 
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Copilot Studio Expertise: Experience with Microsoft 365 Copilot Studio - for example, having built or managed AI copilots/agents in a production setting. Knowledge of designing conversation flows, topics, tools, and using Copilot&rsquo;s advanced features (custom actions, agent-to-agent workflows)
 </li>
 <li>
 Advanced AI &amp; ML Skills: Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&amp;A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more
 </li>
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 Financial Services Experience: Background in financial services or wealth management technology projects. Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them
 </li>
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 Security &amp; Compliance Focus: hands-on experience implementing security, compliance, and responsible AI practices in software. For instance, familiarity with Microsoft&rsquo;s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use
 </li>
 <li>
 Innovation &amp; Leadership: Demonstrated initiative in previous roles - maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities. Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current
 </li>
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 Lean and Agile background: Lots of experience working in highly-iterative development processes. You understand the principles of them but aren&rsquo;t married to any particular methodology
 </li>
 <li>
 Patience: Somebody prepared to deal with the boring and the tough. Every minute of every day in an AI role isn&rsquo;t always deploying new models and agents. An engineer in this role must also be willing and able to take on things like vendor integration, bug fixing, and other operational and administrative work that comes up day-to-day
 
 
 
 
 </li>
 </ul>
 The following is required from all associates of D.A. Davidson Companies:
 
 
 
 <ul>
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 Commitment to maintain client confidentiality and data security
 </li>
 <li>
 Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
 </li>
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 Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
 </li>
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 Ability to maintain regular, predictable attendance
 
 
 
 
 </li>
 </ul>
 
 Duties:
 
 
 
 <ul>
 <li>
 Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making
 </li>
 <li>
 Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval)
 </li>
 <li>
 Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed
 </li>
 <li>
 Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations
 </li>
 <li>
 DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues
 </li>
 <li>
 Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants&rsquo; effectiveness
 </li>
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 Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders
 
 
 
 
 </li>
 </ul>
 
 What do we offer:
 
 
 Competitive salary plus excellent benefits and perks including, but not limited to:
 
 
 
 <ul>
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 Medical, Dental and Vision
 </li>
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 Company 401(k)and ESOP contribution
 </li>
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 Generous sick, vacation, and maternity/parental leave
 </li>
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 Paid holidays
 </li>
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 Professional Development Opportunities
 </li>
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 Tuition Reimbursement ($15,000 lifetime cap)
 </li>
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 Discounted personal insurance including home, auto and recreational vehicles
 </li>
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 Charitable gift-matching program
 </li>
 <li>
 Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work
 
 
 
 
 </li>
 </ul>
 The potential base pay hiring range for this role is $90,000 - $120,000 annually. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate. This role is eligible to participate in applicable D.A. Davidson variable compensation programs.
 
 
 At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 ACKNOWLEDGMENT
 
 
 Please answer all questions carefully. By submitting this application for employment, I certify that all of the above information is true and complete and I understand that any falsification or omission of information made by me may disqualify me from further consideration for employment or, if hired, may result in my termination of my employment at any time during the period of my employment, regardless of the amount of time that has passed. California applicants, please see D.A. Davidson&rsquo;s California Resident Privacy Policy.
</div>

AI & Automation Engineer

Dizzaract FZ LLC

01. ABOUT THE COMPANYDizzaract is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana 2.0, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not their origin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.02. ABOUT THE ROLEFAR Labs is building FAR AI &mdash; a high-performance decentralized AI inference network that transforms the global computing landscape by turning consumer and enterprise GPUs into a unified AI engine. Following a successful alpha launch in internet cafes across the UAE, we are scaling infrastructure to onboard large-scale gaming cafe fleets and top-tier data centers worldwide.We&rsquo;re looking for an AI Automation Engineer (Agent Systems Builder) who can design and deploy multi-agent systems that operate across the company &mdash; from internal workflows to product-level automation.This is a hands-on role focused on building structured, reliable AI systems. You will turn LLMs into coordinated agents that can reason, take action, and operate within defined environments.03. WHO YOU ARE<ul><li>LLM Engineer</li><li>You understand how language models actually work &mdash; tokenisation, logits, prompting, and system behaviour.</li><li>Agent Systems Builder</li></ul>You&rsquo;ve worked with or built multi-agent systems and understand orchestration, roles, and control flows.<ul><li>Automation Thinker</li></ul>You design systems that take action &mdash; not just generate outputs.You can wrap agents into APIs, manage integrations, and handle async workflows.You understand access control, permissions, and how to prevent unsafe behaviour in agent systems.04. RESPONSIBILITIES<ul><li>Backend Engineer</li><li>Security-Aware</li><li>Prompt Engineering &amp; System Design</li><li>Design structured, multi-layered prompt systems with context management, self-correction, and reliability controls.</li><li>AI Hub Development</li></ul>Build and configure internal AI systems (Claude, GPT, open-source models) connected to company data, tools, and APIs.<ul><li>Multi-Agent Architecture</li></ul>Design and implement hierarchical agent systems (orchestrators, specialised agents, execution layers) with clear responsibilities and control flows.Integrate AI agents with internal systems &mdash; CRM, databases, messaging platforms, CI/CD &mdash; enabling real actions and workflows.Build and maintain tools that allow agents to interact with external systems (APIs, services, internal infrastructure).05. REQUIREMENTS<ul><li>Integration &amp; Automation</li><li>Tooling &amp; Execution</li><li>Strong understanding of LLM internals (tokenisation, logits, temperature, system prompts, RAG).</li><li>Experience building or working with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or custom systems).</li><li>Strong backend experience (Python or TypeScript).</li><li>Experience building APIs, handling async workflows, and integrating external systems.</li><li>Experience implementing function calling, tools, and agent execution workflows.</li><li>Understanding of prompt security, injection risks, and hallucination control.</li><li>Experience integrating AI systems into real business processes or products.</li></ul>06. NICE TO HAVE<ul><li>Experience building multi-agent systems in production.</li><li>Experience integrating agents with CRM, databases, or CI/CD pipelines.</li><li>Experience with Model Context Protocol (MCP) or similar tooling approaches.</li><li>Experience working in fast-paced or AI-first environments.</li></ul>07. WHAT WE OFFER<ul><li>Real ownership and direct impact on a global AI infrastructure product</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team</li><li>Exposure to cutting-edge AI, distributed systems, and hardware-level optimization</li><li>Competitive salary with performance-based incentives</li><li>24 days annual leave, plus public holidays</li><li>Health insurance</li><li>Modern office in Yas Creative Hub</li><li>Continuous learning through real-world problem solving &mdash; not just theory</li><li>The opportunity to shape what you're working on and influence product direction</li><li>A diverse, open-minded team where ideas are genuinely heard</li></ul>08. HOW TO APPLYAs part of your application, please share:<ul><li>A diagram or description of a multi-agent system you've built (or would build).</li><li>An example of a complex prompt using tools/function calling.</li><li>Your approach to enforcing access control across agent systems.</li></ul>Application Question(s):<ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT)? (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+).</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul>Work Location: In person

AI Automation Engineer / Architect of Agentic AI (Automator)

VaporVM

<div><div><div>Date Posted:</div>
11 June, 2026</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VaporVM</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div><h1 class="jobSectionHeader">Senior HPC / Infrastructure Engineer</h1>

Location: Riyadh, Saudi Arabia

Employment Type: Full-Time

Experience: 10+ Years (Hands-On)
<h2 class="jobSectionHeader">
Position Overview</h2>

We are seeking a highly experienced Senior HPC / Infrastructure Engineer with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.

The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.
<h2 class="jobSectionHeader">
Required Certifications</h2>
<ul><li>RHCE &ndash; Red Hat Certified Engineer (Active)</li>
<li>CKA &ndash; Certified Kubernetes Administrator (Active)</li>
</ul><h2 class="jobSectionHeader">Core Technical Expertise</h2>
<h3 class="jobSectionHeader">HPC &amp; NVIDIA AI Ecosystem</h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader">Compute &amp; Container Platforms</h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader">Operating Systems</h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader">Automation &amp; DevOps</h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader">Candidate Profile</h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div>

Senior Infrastructure / HPC

aQovia

<div><h2 class="jobSectionHeader">Senior QA Automation Engineer (EdTech / AI)</h2>
Location: Remote
Company: Aqovia
Employment Type: Full-Time<h3 class="jobSectionHeader">
Why Join Aqovia?</h3>
We don&rsquo;t just build software; we engineer impact. Aqovia is an international technology firm and strategic incubator creating real-world value through AI, data, and bespoke software solutions. By joining us, you&rsquo;ll work within an innovative ecosystem that shapes the industries of tomorrow.<h3 class="jobSectionHeader">
The Role</h3>
We are looking for a Software QA Engineer to drive superior quality standards across our digital landscape, spanning Moodle environments, Learning Management Systems (LMS), and innovative AI-based educational tools.
In this automation-focused role, you will architect and scale robust testing frameworks for backend microservices, PHP/Laravel architectures, and modern EdTech interfaces. This position offers a direct trajectory toward technical leadership, principal engineering roles, and deep involvement in our CI/CD and observability strategies.<h3 class="jobSectionHeader">
What You Will Do</h3><ul><li>
Automation &amp; Test Engineering: Build and maintain automation infrastructures for Laravel backends and Moodle integrations using Pest, PHPUnit, Playwright, or Cypress.</li><li>
AI Validation: Formulate strategies to test AI-centric features, including grading engines, response latency, and personalized learning trajectories.</li><li>
CI/CD Integration: Embed test coverage, quality gates, and automated release controls into GitLab CI, GitHub Actions, or Azure DevOps.</li><li>
Performance &amp; Reliability: Support load testing to handle massive student traffic volumes, and use observability tools (Grafana, New Relic) to monitor system health.</li><li>
Architecture Collaboration: Review technical designs and define testing approaches for LTI integrations, custom Moodle plugins, and external partner APIs.</li></ul><h3 class="jobSectionHeader">
What We Are Looking For</h3><h4 class="jobSectionHeader">
Technical Expertise:</h4><ul><li>
Test Automation: Extensive background testing Laravel-based APIs and E2E frameworks (Cypress, Playwright, or Selenium).</li><li>
LMS Architecture: Knowledge of Moodle's plugin ecosystem, hook mechanisms, and core testing patterns.</li><li>
DevOps &amp; Infrastructure: Solid experience setting up CI/CD pipelines, Docker, SQL databases, and cloud platforms (AWS/Azure).</li><li>
Observability: Familiarity with OpenTelemetry, Grafana, or New Relic.</li></ul><h4 class="jobSectionHeader">
Desirable Qualities:</h4><ul><li>
Experience in EdTech (SCORM, xAPI, LTI compliance) or testing non-deterministic LLM latency/AI prompts.</li><li>
Metric-oriented mindset (DORA metrics, defect escape rates).</li><li>
Familiarity with Contract Testing (Pact) and WCAG accessibility standards.</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Meaningful Impact: Help build and secure high-traffic educational platforms that change lives.</li><li>
Career Growth: Clear progression pathways toward technical leadership and principal-level engineering.</li><li>
Collaborative Culture: A fast-moving, multi-regional team prioritizing teamwork, pairing, and transparent communication.</li><li>
Competitive Package: A rewarding benefits package to be finalized during your initial talent consultation.</li></ul><h3 class="jobSectionHeader">
Equal Opportunity Employer</h3>
At Aqovia, we believe engineering excellence is driven by diverse viewpoints. We welcome candidates from all backgrounds and are committed to maintaining an inclusive culture where everyone feels welcome, valued, and empowered to excel.
Ready to elevate the standard of AI and EdTech quality? Apply today.</div>

Software Quality Engineer (SQE) - LMS, EdTech

Redfish Productions LLC

Position SummaryAbout Redfish ProductionsRedfish Productions is a premier event production company specializing in transforming complex event ideas into flawless, unforgettable experiences. With over 25 years of experience and thousands of events produced globally, we handle everything from strategy and creative to full-scale production and analytics for brands, bands, agencies, organizations and beyond.Our mission: We craft unforgettable live events.Our vision: To become a global force in live event production and lead the industry in innovative, ROI-driven event solutions that push creative boundaries while ensuring safety, efficiency, and client satisfaction.Our core values: These are the backbone of our business and guide our hiring process: we are inspirational, disciplined, accountable, transparent, aligned, and results oriented. This company operates nationally and is growing.Performance ObjectivesThis role works directly with the founder to build the AI-driven infrastructure that powers our growing operation. Your deliverables:- Build Claude Code automations, agents, and pipelines that eliminate repetitive operational tasks- Design and deploy Cowork workflows, custom skills, and plugins specific to Redfish's business- Document internal processes as clean, AI-enhanced SOPs the full team can independently use- Develop a reusable prompt library and AI asset base that becomes proprietary Redfish IPCore Competencies- Hands-on, proven experience with Claude AI -- specifically Claude.ai, Claude Code, and Claude Cowork (not just general AI/LLM background)- Ability to take messy, real-world business operations and translate them into clean automated workflows- Self-starter who works independently and delivers without hand-holding- Strong written communication -- you document what you build so others can use it- Bonus: experience in live events, experiential marketing, or fast-moving small business environmentsThis is NOT the right fit if you have never used Claude Code or Cowork in a real project, need heavy oversight to deliver, or are looking for a slow bureaucratic engagement.BenefitsWe offer competitive benefits to support your growth, including flexible hours, professional development opportunities, and access to our PPF Goals Program (Personal, Professional, and Financial), which provides personalized coaching, skill-building workshops, and financial planning resources to help you thrive in all aspects of life. Additional perks may include health insurance eligibility upon transition to full-time and paid time off.Redfish Productions is committed to fostering a dynamic workplace. We encourage applications from all qualified individuals regardless of race, gender, disability, or background.If this position caught your eye, send us your resume!For best consideration, include the job title and source where you found this position in the subject line of your email to careers@redfishproductions.com.Pay: $45.00 - $65.00 per hourBenefits:<ul><li>Flexible schedule</li></ul>Work Location: Remote

AI Specialist – Claude AI / Claude Code / Cowork (Part-Time Contractor)

Campbell's

<div>Since 1869, we've connected people through food they love. We&rsquo;re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell&rsquo;s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao&rsquo;s Homemade, Snack Factory, Snyder&rsquo;s of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Operational Support Data Engineer &ndash; Agentic AI &amp; ML Ops (Co-op)
<ul><li>We are seeking a motivated and curious Data Engineer &ndash; Agentic AI &amp; ML Ops to join our Enterprise Data &amp; Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
</li></ul><ul><li>You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
</li></ul>If you are passionate about data engineering, AI, and automation, we want to hear from you. 
<ul><li>
</li></ul>Key Responsibilities
<ul><li>Build Data &amp; AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
</li></ul><ul><li>Data Integration &amp; Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
</li></ul><ul><li>Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
</li></ul><ul><li>LLM &amp; Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
</li></ul><ul><li>AI/ML Development &amp; Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
</li></ul><ul><li>Support Analytics &amp; AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
</li></ul><ul><li>Monitor &amp; Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
</li></ul><ul><li>MLOps &amp; CI/CD: Support deployment, testing, and automation for data and AI solutions.
</li></ul><ul><li>Data Modeling &amp; Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
</li></ul><ul><li>Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
</li></ul>Documentation &amp; Automation: Create runbooks, workflows, and technical documentation. 
<ul><li>
</li></ul>Learning &amp; Development Opportunities
<ul><li>Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
</li></ul><ul><li>Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
</li></ul><ul><li>Experience working with AI agents, prompt engineering, and workflow orchestration.
</li></ul><ul><li>Mentorship from Data, AI/ML, and Platform Engineers.
</li></ul>Experience in Agile/Scrum and DevOps/MLOps environments. 
<ul><li>
</li></ul>Qualifications
<ul><li>Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
</li></ul><ul><li>Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
</li></ul><ul><li>Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
</li></ul><ul><li>Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
</li></ul><ul><li>Experience with Python-based AI/ML projects or notebooks is a plus.
</li></ul><ul><li>Strong analytical and problem-solving skills.
</li></ul><ul><li>Strong communication and teamwork skills.
</li></ul>The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.</div>

Data Engineer – Agentic AI & ML Ops (Co-op)

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

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AI/ML Engineer – Agentic AI

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