Summary
✨ AI‑Generated
A Full Stack AI Engineer is sought for production engineering of AI systems, combining software development with infrastructure, SRE, distributed systems, testing, and release management. The role requires strong Python backend expertise and advanced Kubernetes and Helm capabilities, with a focus on highly concurrent production workloads.
Highlights
Long-term engineering contract focused on AI systems, production infrastructure, distributed systems, reliability, release operations, and high-concurrency backend engineering.
Description
Job Title: - Analyst/Developer - Specialty 4
Location: - Austin, TX / Warren, MI (Hybrid)
Duration: - Long Term Contract (W2)
Description
Assist in the software engineering production of artificial intelligence product.Support the development operations and release management of artificial intelligence products and our portfolio of products.Test features and capabilities to ensure that product quality preserves and builds system credibility through reliability.Coding is required for this role.
Resource Qualifications
6+ years in Infrastructure, SRE, or Core Platform Engineering with a heavy focus on distributed systems.Advanced Kubernetes & Helm: Deep understanding of the K8s control plane, custom controllers/CRDs, and experience tuning stateful sets or long-lived connection routing.Production Python (FastAPI/Uvicorn): Expert-level knowledge of Python's memory management, asyncio event loops, and tuning ASGI servers for high-concurrency gateway flows.Advanced Load Testing Execution: Proven experience using k6 or Locust to test stateful systems, handle dynamic session tokens, and mock asynchronous backend workers.CI/CD & Container Hardening: Hands-on automation experience with GitHub Actions targeting Azure Container Registry (ACR) or similar enterprise registries, and Azure Kubernetes Service (AKS)LLM Infra Literacy: Deep conceptual understanding of tool-calling, agent memory architectures, state graphs, and the operational differences between token-streaming vs.
unary API calls.
Preferred Qualifications
Service Mesh Mastery: Production experience with Istio, Linkerd, or Cilium for advanced A2A traffic splitting, mutual TLS (mTLS), and zero-trust enforcement.
Agent Sandboxing: Experience with secure container runtimes (e.g., gVisor, Kata Containers) for running unverified user-generated tool code or agent scripts.
Chaos Engineering: Experience injecting failures into asynchronous message queues or mocking LLM API timeouts to prove graph recovery safety.
Story Behind the Need Business Group & Key Projects
Business groupSurrounding team & key projectsPurpose of this teamMotivators for this need (i.e.-special projects/general workload support/etc.)
Business Group Manufacturing IT team, they support analytics and insights on the plant floor, for this position it is going to be for GM One Ops which they are building a single connected experience for their leaders on the plant floor who are running the lines, over 100 plants globally so helping them operate more efficiently is the goal here.
Developing staffing modules for their employees for running the operations
Motivator for these positions new initiative and need help supporting this
Typical Day in the Role
Typical task breakdown and rhythmInteraction level with teamWork environment descriptionChance for flex hours or remoteChance for extension laterConfirm if group participates in GM Contract Worker Shutdown days
Daily Breakdown
GM One Ops team standup meetings to start the day
Manage everything in Jira
Break off and work on their items for the day
AI Coding tools that they will be levering to speed up delivery of their deliverables
The manager will provide timelines on the deliverables to set expectations
Team structure 12 other developers based half in Warren and Austin, very senior engineers, they work with a lot with different teams (engineers, managers, etc).
They all work on the application together
Chance for an extension yes very likely be extended into next year and there will be opportunity for the contractors to be hired direct
Compelling Story & Candidate Value Proposition
What makes this role interesting?Competitive market comparisonUnique selling pointsValue added or experience gained
GM Manufacturing is a very complex and fast paced environment
Eliminate some of the administrative burden that those on the plant floor are experiencing
This will be rolled out to over 800+ group leaders in manufacturing, heavy used by GM
Huge business impact
Candidate Requirements
Degrees or certifications requiredYears of experience requiredTechnologies/depth of technologies requiredAny preferred schools/companies
Education Requirement Bachelor's degree in a technical field such as computer science, computer engineering or related field required
Years Of Experience - 8-10 Years Experience Required
Need to highlight that they are using AI in everything they do, especially within their last couple years of employment.
The manager will be looking for this
Full stack developer position with AI experience
Soft skills working well with others and different teams, communication
Top 3 must-have hard skillsLevel of experience with eachStack-ranked by importance
1
AI driven development experience AI engineering, coding
2
Software engineering React and Python, software developer mindset
3
Ability to leverage all AI tools to accelerate their development