Overview
Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)
Skills
AWS Bedrock
RAG system experience
Sagemaker
Job Details
Javen Technologies Direct Client is looking for Agentic AI Engineer in Cincinnati OH. Open to REMOTE candidates. If interested, please reach me at / - Gowri.
Technical (Core):
- AWS Bedrock hands on: invoking embedding & text models; experience with model customization / fine tuning workflows.
- Terraform module authoring (composition, variable design, drift detection, environment promotion).
- Production RAG system experience (document processing, chunking strategies, embedding generation, retrieval optimization).
- Python engineering excellence (testable, modular code; familiarity with packaging, logging, dependency management).
- SageMaker training jobs (PyTorch estimator or equivalent, VPC config, KMS encrypted volumes & outputs).
- Vector search proficiency with OpenSearch (k NN / ANN, index design, embedding normalization).
- Step Functions (standard + distributed Map), Lambda, SQS retry patterns, SNS notifications.
- Data curation & labeling: structuring JSONL training/eval sets, metadata hygiene, dataset versioning practices.
- Retrieval & answer quality evaluation: recall@K, MRR (or similar), error categorization (hallucination vs. retrieval failure).
- Secure AWS networking: VPC subnet/AZ selection (including GPU AZ constraints), security groups, private endpoints.
- IAM & KMS usage for ML pipelines (role scoping, encryption at rest/in transit considerations).
- Observability: designing metrics/logging for pipeline latency, throughput, failure classification; CloudWatch dashboards/alarms.
- Practical prompt engineering & prompt lifecycle management (versioning, regression testing).
- Understanding of fine tuning paradigms (full vs. parameter efficient (LoRA), overfitting mitigation, hyperparameter tradeoffs).
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