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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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