Role Description The AI Leadership Programme Marker supports the delivery of a postgraduate-level professional learning programme by assessing learner assignments and providing high-quality, developmental feedback. Working remotely during defined marking periods, this role plays a critical part in ensuring consistent academic standards, timely assessment, and positive learner progression across the programme lifecycle. Key Responsibilities - Assess learner project submissions against defined criteria and marking rubrics. - Provide clear, constructive, and developmental written feedback on all assigned assessments. - Apply consistent grading standards aligned with programme calibration and moderation guidelines. - Collaborate with tutors and delivery team members to support marking consistency across cohorts. - Participate in calibration and moderation activities as required during each marking period. - Manage allocated marking workloads to meet agreed turnaround times and deadlines. - Work collaboratively with learner support teams to ensure feedback enables learner progression. - Maintain accurate records of assessment outcomes in relevant learning systems. - Provide further async-specific feedback to learners when requested, post mark & feedback. Qualifications - Demonstrated experience marking assessments at postgraduate level. - Strong understanding of leadership, strategy, or technology-related subject matter, with relevance to AI-enabled contexts. - Doctoral level qualification completed or currently in progress. - Ability to apply assessment rubrics objectively and consistently. - Excellent written communication skills with the ability to explain complex concepts clearly. - High levels of emotional intelligence and openness to feedback. - Confidence using online learning platforms and digital assessment tools. - Demonstrated interest in the future of artificial intelligence and leadership development. Benefits - Collaborative, people-centred performance culture. - Opportunities to grow in a fast-paced environment. - Flexible, remote-based working during defined marking periods. Our Recruitment Process - Application Submission: Complete the online form and answer brief application questions. - Initial Screening: Your application is reviewed for role alignment; successful candidates move to the longlist. - Video Interview Stage: You’ll be invited to record short responses to 3 to 4 role-specific questions. - Live Interviews: Shortlisted candidates join first-round interviews and, where applicable, additional stages depending on the role. - Final Shortlist and Verification: Reference and background checks are completed. - Offer and Contracting: Successful candidates receive formal offers and contract documents. - Pre-boarding and Onboarding: Once accepted, you’ll complete a pre-boarding process before officially joining your employing organisation within the Employer Group.

Role Description Our client is a rapidly scaling, remote-first software provider specializing in governance technology. They streamline mission-critical decision-making and meeting workflows for high-level corporate leadership. Their diverse client base features leading European industrial groups, major media conglomerates, and energy giants, including several Tier-1 publicly traded corporations. - Tech stack: ASP.NET Core, React.js, F#, functional programming, event-driven architectures, AI, Azure. - AI & Agentic Frameworks: Proven experience building AI features into production SaaS products, including Agentic tools, RAG pipelines, and Model Context Protocol (MCP). - Vector Infrastructure: Deep understanding of vector databases and semantic search optimization. - Backend Engineering: Strong proficiency in ASP.NET Core and F# (or a deep commitment to Functional Programming paradigms). - Architecture: Experience designing and maintaining scalable, event-driven architectures. - Cloud Ecosystem: Hands-on experience with Azure deployments, specifically leveraging Azure AI infrastructure. - Frontend Integration: Experience working with React.js to deliver seamless, intuitive AI-driven user experiences. Nice to have: - Familiarity with benchmarking and evaluating different LLM providers and models' unique capabilities to optimize cost and latency. - Experience with advanced prompt engineering, fine-tuning workflows, or guardrail implementation. - Knowledge of modern CI/CD practices for AI/MLOps in an Azure environment. Responsibilities - AI Feature Development: Design, build, and deploy production-grade AI capabilities into our SaaS product, utilizing RAG pipelines, autonomous agentic tools, and Model Context Protocol (MCP). - Architectural Engineering: Architect and maintain highly scalable, reliable backend solutions using ASP.NET Core and F#, strictly adhering to functional programming principles and event-driven architectures. - Vector & Data Management: Implement and optimize vector databases to ensure ultra-low latency, highly accurate semantic search and contextual data retrieval. - Model Selection & Evaluation: Evaluate, benchmark, and integrate diverse LLMs and foundation models, matching their unique capabilities to specific product requirements for optimal cost, speed, and accuracy. - Cloud & AI Infrastructure: Orchestrate and manage secure, scalable workloads within the Azure ecosystem, specifically leveraging Azure AI deployments. Benefits - Udemy courses of your choice. - Team-buildings, events, marathons & charity activities to connect and recharge. - Workshops, trainings, expert knowledge-sharing that keep you growing. - Clear career path. - Absence days for work-life balance. - Flexible hours & work setup - work from any of listed locations and organize your day your way.

Senior AI Engineer Location: Remote, USA ZIP/Postal Code 27265 Job Type Contract-to-perm Category Software Engineering Req # ATL-425c4d6f-9bb1-418e-a692-6c8013a05de4 Pay Rate $52 - $65 (hourly estimate) Job Description: Insight Global is looking for a fully remote Senior AI Engineer to join a logistics/supply chain customer to support their automation initiatives and organization build out. Day to day: · Design, develop, deploy, and maintain AI agents and software that enhance and support supply chain operations and technology. · Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents tailored to enterprise use cases. · Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards. · Design and build, or collaborate with data engineering teams to develop, data models and pipelines that support and feed AI solutions, ensuring scalability, reliability, and data quality. · Develop AI agent software and integrations using Python, SQL, and frameworks such as Flask and FastAPI. · Build agile and portable AI solutions using containerization tools like Docker and Kubernetes. · Collaborate with business and product stakeholders to understand use cases and educate teams on AI capabilities. · Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration. · Communicate effectively with leadership to secure resources, address issues, and provide project updates. · Take ownership of projects end-to-end with minimal supervision. · Mentor junior engineers on best practices in AI and software development through pair programming, code reviews, and architectural guidance. · Stay current on emerging AI technologies and trends and contribute to the organization’s AI roadmap. Pay rate: 78-80/hr. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. Required Skills & Experience · 3–5 years of experience in software engineering, AI/ML engineering, or data science, with at least 1 year focused on agentic AI development. GCP experience in most recent position · Hands-on experience with AI agent development frameworks (e.g., Google’s Agent Development Kit, OpenAI Agents SDK). · Knowledge of MCP and A2A protocols. · Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable). · Expertise in Python, APIs, SQL, system design, DevOps/AIOps, and familiarity with JavaScript and frontend frameworks. · Experience in monitoring, troubleshooting, and optimizing deployed solutions. Nice to Have Skills & Experience · Experience in advanced AI techniques, such as fine-tuning LLMs or developing custom AI algorithms. · Familiarity with logistics systems (e.g., WMS). · Experience with Snowflake and its ecosystem. · Hands-on experience with GCP Vertex AI Agent Builder. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Title: AI Software Engineer Location: MI-Farmington Hills ZIP/Postal Code 48331 Job Type Contract Category Software Engineering Req # CHI-49b361c2-06b0-4fef-9800-6e62eaa5d1b3 Pay Rate $54 - $68 (hourly estimate) Job Description: *Hybrid work. Candidates must be located in the Farmington Hills / Metro Detroit, Michigan area. No remote candidates.* JOB DESCRIPTION We are looking for a Lead Software Engineer to join our AI agentic engineering team. You will design and deliver guardrail components across services, define where and how enforcement should occur in systems, and mentor engineers on safe design and defensive programming patterns. You will also architect backend services, APIs, and integrations that apply software engineering discipline to govern how AI-driven systems behave across the engineering workflow. This is a hands-on technical leadership role requiring strong proficiency in Python and TypeScript, a track record of delivering cross-service systems, and the ability to define enforcement patterns that other engineers follow. What You'll Do Design and deliver backend services and APIs that enforce system behavior across multiple services Define where and how enforcement, filtering, and validation should occur within system architectures Build cross-service controls and establish the patterns other engineers implement against Instrument and improve observability across service boundaries — structured logging, metrics, distributed tracing Own shared tooling and platform components with broad organizational reach Mentor engineers on safe design, defensive programming, and failure handling practices Core Capabilities Writes production-quality code with strong proficiency in Python and TypeScript Demonstrates advanced experience working in cloud environments (AWS) Designs and implements scalable backend services and APIs across service boundaries Defines enforcement patterns and interface contracts consumed by other teams Thinks in systems — reasons about cross-service dependencies, failure propagation, and contract stability Communicates defensive design principles clearly to other engineers Shows strong technical curiosity and forms clear, experience-backed opinions What Differentiates This Role This role is focused on how systems behave under misuse, failure, or unexpected inputs — not on building user-facing features. At this level, you are defining where enforcement lives and how it works across services, not just implementing within one. You bring both the technical depth to build these systems and the communication skills to make the patterns repeatable by others. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. Required Skills & Experience 5–8 years of software engineering experience with strong proficiency in Python and TypeScript Demonstrated experience delivering production systems on AWS (Lambda, Fargate, API Gateway) Experience designing enforcement, filtering, or validation logic that spans multiple services Track record of defining interfaces, contracts, or patterns adopted by other engineers Ability to mentor junior and mid-level engineers on defensive design and safe coding practices Clear written and verbal communication — able to define and document system-level enforcement patterns Experience designing and building agentic workflows or multi-agent systems Familiarity with LLM integration patterns — prompt injection detection, guardrail design, or output filtering Nice to Have Experience with AWS Bedrock — model invocation, guardrail configuration, or AgentCore runtimes Experience with agentic or multi-step workflow systems or Background in platform engineering or developer tooling roles Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.