We are seeking an AI/LLM Engineer to build and deploy production-grade multi-agent AI systems, RAG pipelines, and intelligent automation. The ideal candidate will have strong Python, LLM, agent framework, and cloud experience, with a focus on scalable, secure, and production-ready AI solutions on Google Cloud Platform (GCP).
Job Responsibilities
Design and deploy multi-agent AI architectures using LangGraph, CrewAI, LlamaIndex, or similar frameworks.
Build RAG pipelines using embeddings, vector databases, chunking, retrieval, and reranking.
Develop backend services using Python, FastAPI, or Flask.
Deploy AI applications using GCP, BigQuery, Cloud Run/GKE, and Vertex AI.
Implement LLM evaluation, observability, tracing, guardrails, and prompt-injection protection.
Develop secure NL-to-SQL solutions and integrate AI with enterprise systems.
Implement Docker, Kubernetes, CI/CD, testing, and production deployment practices.
Optimize AI systems for cost, latency, accuracy, and scalability.
Collaborate with data scientists and engineering teams to productionize AI solutions.
Numbers & Facts
Location
Dearborn, MI
Job Type
Contractor
Salary
$60–$65 Per Hour
Qualifications
Bachelor's degree in Computer Science, Software Engineering, or related field.
3+ years of production software engineering experience.
1–2+ years of experience with ML, AI, LLM, or Generative AI applications.
Strong Python skills, including asynchronous/concurrent programming.
Hands-on experience with LangGraph, CrewAI, LlamaIndex, or equivalent agent frameworks.
Experience building RAG pipelines and vector database solutions.
Strong SQL and cloud data warehouse experience.
Experience with GCP, preferably BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub.
Experience with Docker, Kubernetes, and CI/CD.
Knowledge of LLM evaluation, observability, AI security, and guardrails.
Experience with FastAPI or Flask preferred.
Automotive, EV, IoT, or connected-vehicle experience is a plus.
Hybrid – 4 days onsite per week.
Skills
Artificial Intelligence (AI)unmatched
Automationunmatched
Cloud Computingunmatched
GCP (Good Clinical Practices)unmatched
Python Programming/Scripting Languageunmatched
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