AI Engineer

Must-Have Qualifications (All Required)

* Strong Python engineering background with production experience in cloud-native services.

* Extensive hands-on experience with AWS services: Amazon Bedrock (FMs + embeddings) 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 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, 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 SClientialty or equivalent recognized AI/ML certification) and strong depth across AWS services.