Sr. Software Engineer, Full Stack (AI and Automation)

ManpowerGroup Global, Inc.; Raleigh (NC); On-site; USD 155,000 - 175,000; Full time

Job summary

ManpowerGroup Global, Inc. seeks a Sr. Software Engineer, Full Stack, to build the AI automation layer for enterprise infrastructure. You will work with the CTO to scale backend services and intelligent agents that operate in production environments. The role emphasizes reliability and integration with cutting-edge AI models.

You’ll design distributed systems, own backend APIs, and collaborate across teams to ship milestones and iterate based on enterprise feedback. Remote options are available.

Qualifications

• Professional software engineer with production system experience.
• Fluency in TypeScript or Python or Rust; bonus for more than one language.
• Experience building backend services and distributed systems.
• Familiarity with AI/ML model integration and production deployments.

Responsibilities

• Design and implement intelligent agents to automate complex enterprise workflows.
• Architect backend services and data pipelines for reliable, scalable operation.
• Build tooling to integrate AI models and drive adaptive execution logic.
• Collaborate with founding team to deliver milestones and iterate rapidly.

Skills

TypeScript

Python

Rust

Tools

Docker

Kubernetes

Job description

Sr. Software Engineer, Full Stack (AI and Automation)

Location: Raleigh NC Preferred (Open to Remote)

Type: Direct Hire Role

Salary Range: $155,000 - 175,000

The Opportunity

Join our founding engineering team building the AI automation layer for enterprise infrastructure. You'll work directly with our CTO to architect and scale backend systems that power intelligent agents running on specialized enterprise software environments.

This isn't about building yet another SaaS app. You're building intelligent agents that navigate complex desktop environments, parse documents, integrate with cutting-edge AI models, and execute multi-step workflows autonomously in production environments where reliability is non-negotiable.

What You'll Be Doing

• Design and implement intelligent agents that automate complex, repetitive workflows across specialized enterprise software platforms.
• Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale.
• Build agentic frameworks and tools to power enterprise agentic use.
• Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic.

Scale Backend Infrastructure

• Own backend services that power our agent deployments.
• Build robust APIs and data pipelines that connect field operations to back-office systems.
• Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows.

Collaborate & Ship

• Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones.
• Bring cutting-edge agentic capabilities into production.
• Deploy and iterate rapidly based on real customer feedback from enterprise partners.
• Use AI tools throughout your daily workflow to accelerate development and solve complex problems.

Required Qualifications

• Professional engineering experience building production systems
• Fluency in TypeScript or Python or Rust Bonus for more than one.
• AI-native mindset: You use AI tools (Claude, Cursor, GitHub Copilot, etc.) every day to accelerate your work and tackle hard problems
• Proven problem-solving ability: You can take ambiguous requirements, break them down, and ship working solutions
• Startup DNA: You thrive in fast-moving environments where you own outcomes, not just tasks
• Hands-on experience with building scalable distributed systems and backend services
• Integrating with AI/ML models (OpenAI, Anthropic, or similar APIs)
• Deploying and managing production services
• Database design and optimization

Nice to Have

• Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar)
• Infrastructure as code and containerization (Docker, Kubernetes)
• Background in automation, RPA, or desktop application integration
• Prior experience at an early-stage startup (seed to Series A)
• Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools

You'll Love This Role If You:

• Get energized solving technical problems in industries that have yet to be disrupted by automation- we’re building a first!
• Want to see your code immediately impact real customers doing real work
• Prefer shipping and iterating to endless planning and process
• Believe AI tools should be core to how engineers work, not a side experiment
• Want meaningful equity and influence at a seed-stage company