AI Engineer

Position: AI Engineer
Location: Auburn Hills MI
Duration: 6 Months
Shift: Onsite

Interview Mode: Video

Job Description:

We are looking for a skilled AI Engineer with experience in Generative AI LLMs AWS cloud services and enterprise AI integrations. The ideal candidate will work on developing deploying and supporting AI-powered applications multi-agent systems and cloud-native AI solutions.

Key Responsibilities:

AI/LLM Development & Engineering
Develop and implement AI/LLM-based applications using LangChain LangGraph and Model Context Protocol (MCP)
Build and optimize Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions
Work on prompt engineering agent orchestration and AI workflow automation
Implement AI agent patterns such as ReAct Chain-of-Thought and multi-agent collaboration
Integrate enterprise data sources for AI-powered solutions across structured and unstructured data

AWS AI & Cloud Implementation
Develop and deploy AI solutions using Amazon Bedrock SageMaker Bedrock Agents and Bedrock Knowledge Bases
Build and maintain cloud-native applications using AWS services such as Lambda ECS Fargate EKS API Gateway EventBridge SNS/SQS Kinesis S3 DynamoDB Aurora OpenSearch and Athena
Support infrastructure automation using Terraform CloudFormation and AWS CDK
Monitor application performance observability and cloud resource utilization using CloudWatch and related AWS monitoring tools

MLOps & AgentOps
Support MLOps and AgentOps processes for model deployment monitoring evaluation and continuous improvement
Implement CI/CD pipelines and automated testing for AI applications
Ensure secure development practices including dependency scanning logging and API security controls

Salesforce & SaaS Integration
Integrate AI solutions with Salesforce Agentforce Einstein Data Cloud and Service Cloud
Develop API integrations and support data exchange between Salesforce AWS and third-party platforms
Work with Apex Flow and Platform Events for AI-enabled business workflows

Collaboration & Support
Collaborate with architects developers security teams and business stakeholders to deliver AI solutions
Participate in architecture discussions code reviews and technical troubleshooting
Create technical documentation and support knowledge-sharing initiatives across teams

Required Skills:
Strong experience with Python and AI/ML frameworks
Hands-on experience with Generative AI LLMs LangChain LangGraph and RAG architectures
Experience with AWS AI/ML and cloud-native services
Knowledge of API integration microservices and distributed systems
Experience with DevOps CI/CD Terraform and containerized deployments
Familiarity with Salesforce integrations is a plus
Good understanding of AI security governance and monitoring best practices