Artificial Intelligence Engineer - locals to IL

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, Cloud Watch, Dynamo
  
  DB (schema and access patterns), S3 (bucket architecture, automation, event-driven ingestion), Amazon Kendra (enterprise search / hybrid retrieval patterns), AWS Agent Core / 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 retrieval
• Production delivery skills: API Gateway, Step Functions, Event Bridge, SQS/SNS, Open Search / vector database patterns (as applicable), IAM least privilege, KMS, Secrets Manager/SSM, Cloud Trail, CI/CD and IaC (Terraform/Cloud Formation/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.