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Artificial Intelligence Senior Associate

Dearborn, MI, US • Posted 10 hours ago • Updated 10 hours ago

Full Time

On-site

USD $64.00 - 66.00 per hour

Fitment

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Job Details

Skills

MI
Marketing Intelligence
Orchestration
LlamaIndex
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
LangSmith
SAFE
Caching
Collaboration
Prototyping
Computer Science
Software Engineering
Software Development
Machine Learning (ML)
Python
Backend Development
Flask
Vector Databases
Evaluation
Google Cloud
Google Cloud Platform
Vertex
SQL
Cloud Computing
Data Warehouse
Docker
Kubernetes
GitHub
Continuous Integration
Continuous Delivery
API
Testing
Version Control
Optimization
Routing
Workflow
Artificial Intelligence
IoT
Microsoft Certified Professional
Startups
Product Development
GL

MI
Marketing Intelligence
Orchestration
LlamaIndex
Deep Learning
Natural Language Processing
Generative Artificial Intelligence (AI)
LangSmith
SAFE
Caching
Collaboration
Prototyping
Computer Science
Software Engineering
Software Development
Machine Learning (ML)
Python
Backend Development
Flask
Vector Databases
Evaluation
Google Cloud
Google Cloud Platform
Vertex
SQL
Cloud Computing
Data Warehouse
Docker
Kubernetes
GitHub
Continuous Integration
Continuous Delivery
API
Testing
Version Control
Optimization
Routing
Workflow
Artificial Intelligence
IoT
Microsoft Certified Professional
Startups
Product Development
GL

Summary

Location: Dearborn, Michigan
Type: Contract
Job #106329

Position: AI/Machine Learning Engineer

Location: Dearborn, MI (Hybrid)

Employment Type: Full-Time Contract

Pay: $64-66 per hour

Description: We are seeking an AI / Machine Learning Engineer to design, develop, and deploy production-grade multi-agent AI systems on Google Cloud Platform. This role focuses on building scalable agent orchestration frameworks, Retrieval-Augmented Generation (RAG) pipelines, intelligent automation solutions, and LLM-powered applications that transform complex data into actionable insights.

Responsibilities:

Design and deploy production-ready multi-agent architectures using frameworks such as LangGraph, CrewAI, or LlamaIndex.
Develop AI solutions leveraging LLMs, deep learning, NLP, generative AI, intelligent automation, and cognitive computing technologies.
Build and optimize RAG pipelines, including embeddings, vector databases, hybrid retrieval, reranking, and retrieval evaluation.
Integrate and govern BigQuery-based data access, ensuring secure, validated, and least-privilege execution of AI-generated SQL.
Deploy AI services on Google Cloud Platform using Cloud Run, GKE, Vertex AI, Pub/Sub, Docker, Kubernetes, and CI/CD pipelines.
Implement observability, evaluation, and monitoring frameworks using tools such as LangSmith, Langfuse, and OpenTelemetry.
Develop guardrails, prompt-injection defenses, output validation, and human-in-the-loop approval workflows for safe AI operations.
Optimize model cost, latency, and performance through model routing, caching, and scalable deployment strategies.
Collaborate with data scientists and engineering teams to productionize AI prototypes and maintain reliable, monitored services.

Requirements:

Bachelor's degree in Computer Science, Software Engineering, or a related field.
3+ years of software development experience, including 1-2+ years building AI/ML or LLM-powered applications.
Strong Python skills, including backend development with FastAPI or Flask.
Experience building production multi-agent systems and distributed architectures.
Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate, Qdrant, pgvector), embeddings, and retrieval evaluation.
Experience with Google Cloud Platform (BigQuery, Cloud Run/GKE, Vertex AI, Pub/Sub).
Strong SQL and cloud data warehouse experience.
Proficiency with Docker, Kubernetes, GitHub Actions, and CI/CD methodologies.
Knowledge of API design, testing, version control, security best practices, and LLM safety techniques.

Preferred:

Master's degree
Experience with cost optimization and model-routing strategies.
Human-in-the-loop workflows for high-reliability AI systems.
Background in automotive, EV charging, IoT, or connected vehicle data.
Familiarity with Model Context Protocol (MCP) or similar agent integration standards.
Startup or 0-to-1 product development experience.

#LI-GL1

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111081
Position Id: eca930239f3cfe66dd1a064612623c02
Posted 10 hours ago

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