AL
Information Technology_USA - USA_Engineer
Artech LLC
🇺🇸 United States
On-site
1 month ago
$50 – $52 / hour
- AI
- AWS
- Amazon Bedrock
- AWS Lambda
- AWS Glue
- RAG
- CI/CD
- Python
- JavaScript
- Devops
- AIOps
- AI/ML
- Machine Learning
- Bedrock
- AWS IAM
- OpenSearch
- pgvector
- Pinecone
- Redis
- IaC
1 month ago
Location: Woodland Hills, CA (Onsite)
Duration: 6 Months
Salary Range: $50.00 - $52.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.
Job Description:
- We are seeking an AI Platform Engineer to design, build, deploy, secure, and operate production-ready AI agents and reusable AI platform components on AWS.
- Design, build, deploy, secure, and operate production-ready AI agents using the AWS Strands Agents SDK and Amazon Bedrock AgentCore.
- Architect reusable agent platform components, APIs, deployment patterns, and controls for scalability, availability, observability, governance, and cost efficiency.
- Build AWS Lambda and AWS Glue-based ingestion pipelines for parsing, metadata enrichment, chunking, embeddings, vector indexing, synchronization, and data-quality validation.
- Design Amazon Bedrock Knowledge Base and custom RAG solutions, selecting and tuning chunking, embedding, vector store, metadata, retrieval, reranking, and HNSW/IVF index strategies.
- Integrate automated retrieval, response-quality, regression, and safety evaluation into CI/CD release gates.
- Maintain a governed, versioned prompt library and develop platform services, automation, and integrations in Python and JavaScript.
- Implement monitoring, tracing, logging, alerting, security, and troubleshooting across agents and data pipelines.
- Collaborate with product, data, security, DevOps, and application teams to deliver reliable, maintainable AI solutions.
- Apply AIOps capabilities, including ignio AIOps, to support AI platform operations, monitoring, analytics, insights, and troubleshooting.
- Apply Data Analytics & Insights experience to support scalable AI platform operations and data-driven engineering decisions.
- 10+ years of software, cloud, data, or platform engineering experience.
- 3+ years designing AI/ML or Generative AI solutions on AWS.
- 7+ years of Data Analytics & Insights experience.
- 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.
- Experience with ignio AIOps.
- 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.
Information Technology_USA - USA_Engineer · Artech LLC