AI Engineer
Chicago Suburbs, IL - Locals only
Hybrid role – 3 days/week onsite
6+ months
Must-Have Qualifications (All Required):
7+ years software engineering (or equivalent depth), with demonstrated delivery of production AI/LLM systems on AWS.Strong Python engineering background with production experience in cloud-native services.Extensive hands-on experience with AWS services: Amazon Bedrock and Bedrock Guardrails, AWS Lambda, CloudWatch, DynamoDB (schema and access patterns), S3 (bucket architecture, automation, event-driven ingestion), Amazon Kendra (enterprise search / hybrid retrieval patterns), AWS AgentCore / Bedrock Agents (agent orchestration and tool use)Proven expertise in: LLMs (prompting patterns, context management, hallucination mitigation), RAG (chunking, metadata, hybrid retrieval, reranking, citations), Data engineering on AWS (pipelines, quality checks, lineage, versioning), Database schema awareness and designing data access patterns for scalable retrievalProduction delivery skills: API Gateway, Step Functions, EventBridge, SQS/SNS, OpenSearch / vector database patterns (as applicable), IAM least privilege, KMS, Secrets Manager/SSM, CloudTrail, CI/CD and IaC (Terraform/CloudFormation/CDK), Reliability patterns (rate limiting, caching, retries, circuit breakers, DR awareness)AI certification required (AWS ML Specialty or equivalent recognized AI/ML certification) and strong depth across AWS services.
