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AI / ML Claude Engineer
Value Technology IncUnited States🇺🇸United StatesPosted 15 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Title: AI / ML Claude Engineer
Experience level: 8+ years
Must Have: Code AWS Bedrock and strands Agentic AI framework Engineer
Job summary
Value Technology is looking for Develop, deploy and operationalize machine-learning and applied-AI solutions — from model development through product ionization — that improve clinical and operational decision-making across client's platform.
Key responsibilities
- Build, train, evaluate and deploy ML models and LLM/GenAI-based solutions into production.
- Develop ML pipelines, feature stores and serving infrastructure; monitor model performance and drift.
- Collaborate with product and engineering to integrate AI capabilities into customer-facing workflows.
- Translate ambiguous business problems into well-scoped, measurable AI solutions.
Skills
- Python, SQL, AWS
- Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn); SQL for feature and data work; deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3).
- LLM / GenAI, RAG, prompt engineering, vector databases.
- MLOps tooling (MLflow, Kubeflow, model registries).
- Healthcare data and clinical NLP experience.
- MLE with python, databricks, AWS, sql, nlp
- Deep knowledge of Claude Code customization techniques and tools, excellent agentic prompting skills, security-first mindset, AWS Bedrock + Agentcore experience, excellent stakeholder management (bridging engineering and business)
- Nice To Have: LiteLLM gateway experience, cloud-based coding agent workflows, strong regression and integration testing experienc, developer experience-focused background
- Vetting for Agentic Prompting: Ensure candidates have built loop-based coding workflows (e.g., automated error-correction loops, regression testing hooks for AI-generated code) rather than just standard single-turn LLM chat prompts.
- Vetting for LiteLLM & Security: The candidate must show they have built proxy architectures that enforce security guardrails, manage API keys, and load-balance across AWS Bedrock endpoints.
Skills
SQL
AWS
MLOps
MLflow
NLP
Scikit-learn
Databricks
LLM
PyTorch
Python
Stakeholder Management
TensorFlow
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