AI Platform Engineer

Requirements

• 6+ years of software, cloud, data, or platform engineering experience, including 3+ years designing AI/ML or Generative AI solutions on AWS.
• Hands-on experience building agents with the AWS Strands Agents SDK and deploying them through Amazon Bedrock AgentCore.
• Architecture-level knowledge of RAG, Bedrock Knowledge Bases, chunking, embedding models, vector stores, semantic retrieval, metadata filtering, and evaluation.
• Experience building scalable ingestion, embedding, indexing, reprocessing, and data-quality pipelines using AWS Lambda and Glue.
• Practical experience configuring and tuning HNSW, IVF, or comparable approximate nearest-neighbor indexes.
• Experience integrating AI and retrieval evaluation, regression checks, safety tests, and quality gates into CI/CD.
• Proficiency in prompt engineering, testing, versioning, and shared prompt-library design.
• Strong Python and JavaScript skills, including API integration, automated testing, packaging, debugging, and maintainable design.
• Knowledge of AWS IAM, networking, encryption, secrets, monitoring, least-privilege security, architecture documentation, and production runbooks.

Preferred Qualifications

• Experience with OpenSearch, pgvector, Pinecone, Redis, or comparable vector technologies, plus hybrid search, reranking, and advanced RAG patterns.
• Experience with infrastructure as code, containers, cloud-native CI/CD, and reusable APIs, SDKs, or engineering templates.
• Knowledge of LLM observability, hallucination analysis, prompt-injection defenses, guardrails, and responsible AI controls.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.