
10,000+ employees
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
RR Donnelley is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
🔥 15 hours ago
🌽 Illinois – Remote
💵 $129.5k - $207.2k / year
⏳ Contract/Temporary
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 0%
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
RR Donnelley is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.
• Define the architectural pattern for each engagement, including skill decomposition, tool orchestration, data flow, integration approach, and deployment model • Ensure architecture aligns with security best practices and client requirements • Design client-specific guardrails • Review and sign off AI Workflow Engineer builds against the agreed architectural pattern • Own integration architecture with client systems, including authentication, data ingress, downstream deployment, and monitoring • Make platform-versus-custom decisions with the Head of Platform Engineering and Product • Design and document the target technical state, transition plan, and operational readiness criteria for handover • Own the engagement technical risk register and escalate risks to the Delivery Principal • Serve as Technical Lead across multiple client engagements • Partner with the Delivery Principal on scope, timelines, and technical feasibility • Present technical architecture to senior client stakeholders, including CTOs, technical partners, information security, and enterprise architects • Specify integrations and work with platform development teams on integrations, connectivity, and upstream system integration • Guide AI Workflow Engineers on architectural choices, prompt strategy, and evaluation design • Contribute technical input to commercial conversations and flag scope creep and platform-limit risks • Develop and mentor AI Workflow Engineers and Integration Engineers • Contribute structured technical input to functional managers on capability development • Contribute architectural patterns and technical playbooks to the Technical Lead community • Refine standards based on engagement experience • Mentor newer Technical Leads • Contribute to capability development across the cohort • Ensure compliance with client requirements, data protection, security standards, and AiVA architectural standards
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience • 8+ years of software engineering, cloud architecture, or enterprise integration experience • Track record of leading complex technical architecture on client-facing delivery engagements • Comfortable presenting to senior technical audiences • Experience with AI or automation platforms at enterprise scale • Familiarity with agent frameworks, LLM APIs, and orchestration patterns • Cloud certification, preferably Azure; AWS or GCP relevant, or equivalent demonstrated cloud architecture experience • Strong integration engineering background, including authentication, data pipelines, deployment infrastructure, and monitoring • Comfortable working across geographies and time zones • Experience in legal, professional services, or knowledge-worker environments preferred but not required • Senior technical presence with Chief Technology Officers, enterprise architects, and technical partners • Ability to direct technical work without needing to perform all implementation • Ability to manage multiple engagements and competing priorities • Interest in AI-enabled automation architecture and the wider AI engineering community • Resilience under client technical pressure • Continuous learning and adaptation to evolving platforms • Quality-first orientation toward architectural clarity, evaluation, and observability • Successful completion of pre-employment background and drug screen • Equal opportunity employer, including disability/veterans
• Medical, dental, and vision coverage • Paid time off • Disability insurance • 401(k) with company match • Life insurance • Voluntary supplemental insurance coverages • Parental leave • Adoption assistance • Tuition assistance • Employer/partner discounts • Bonus, commission, or incentive program participation may be available depending on the role • Cloud certification support implied through qualification expectations only; no explicit benefit stated
Apply Now🔥 16 hours ago
Tech Lead building production MLOps pipelines and infrastructure for Megazone Cloud’s cloud services. Driving SageMaker, Terraform, monitoring, compliance, and technical architecture.
🕒 4 days ago
51 - 200
TypeScript engineer creating runtime-grounded codebase Q&A tasks for Mercor’s AI-training datasets. Exploring production repositories, refining rubrics, and validating tasks for coding agents.
🇺🇸 United States – Remote
💵 $130 / hour
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🕒 4 days ago
51 - 200
C engineer building runtime-grounded codebase Q&A tasks for Mercor’s AI agent training environments. Exploring major open-source systems and validating difficult engineering questions.
🇺🇸 United States – Remote
💵 $130 / hour
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🕒 4 days ago
51 - 200
C engineer creating runtime-focused codebase Q&A tasks for Mercor’s AI training datasets. Exploring production repositories and validating rubrics for AI-agent reasoning.
🇺🇸 United States – Remote
💵 $130 / hour
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🕒 4 days ago
Software Engineer building Orlando Informer’s React Native apps and Node services. Powering technology for a theme-park vacation-planning company serving millions of visitors.