Senior AI QE Engineer

West Palm Beach, FL - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

AI QE Engineer

Duration: Fulltime

Location Onsite - West Palm Beach Florida

Job description:

Core Experience & Qualifications

8-10 years as a SDET or QE Leader with strong coding skills in Python TypeScript or Java.
Proven experience designing automation frameworks or developer tools for large engineering organizations.
Hands-on expertise with Large Language Models (LLMs) prompt engineering and safety evaluation techniques.
Exposure to Agentic AI systems and orchestration tools such as LangGraph AutoGen CrewAI or similar agent frameworks.
Experience implementing Model Context Protocol (MCP) for real-time automation autonomous workflows or CI/CD integrations.
Experience working in highly regulated industries-Energy Utilities Nuclear Healthcare BFSI or similar.

AI / ML Technologies

Practical experience with frameworks and ecosystems:

LangChain Hugging Face GPT models vector databases

Working knowledge of ML/DL libraries:

Scikit-learn TensorFlow Keras PyTorch HuggingFace Transformers OpenCV NLTK and BART

Understanding of RAG architectures embeddings and semantic search (bonus).

GenAI & AI Agent Development

Expertise in designing developing validating and deploying Generative AI solutions.
Experience building AI agents multi-agent workflows or autonomous decision systems.
Ability to define governance for:

oLLM drift detection

oPrompt quality standards

oAgent monitoring & observability

oData lineage & model versioning

Automation & Quality Engineering

Strong experience building test automation frameworks using Python PyTest Selenium Playwright and Requests.
Ability to create automated tests covering:

oFunctional

oAPI

oIntegration

oPerformance

oSecurity

oAI/ML validation (LLM testing model accuracy hallucination detection)

Proficiency in API testing and validation of RESTful services.
Plus: Experience with performance/load testing tools K6 or JMeter.

AI Governance & Compliance

Establish AI/ML quality standards testing guidelines and risk controls.
Define governance around:

oData security & privacy

oModel evaluation KPIs (accuracy bias toxicity hallucination rates)

oRegulatory alignment for Energy/Utility operations

oContinuous monitoring & drift alerts

Experience working with IRB compliance or audit teams.

Cloud DevOps & CI/CD

Knowledge of deploying AI and automation solutions on AWS.
Experience implementing CI/CD pipelines for ML and LLM models:

oModel versioning & lifecycle

oRetraining workflows

oAutomated evaluation gates

oInfrastructure-as-code (IAC) familiarity

Experience implementing observability frameworks for AI/ML systems.

SDLC & Collaboration

Strong understanding of end-to-end SDLC and QE methodologies.
Work closely with developers product managers data scientists and business stakeholders.
Ability to provide clear communication around test strategy risks coverage and governance readiness.

Skilled in defect triage risk-based testing and quality strategy leadership

AI QE Engineer Duration: Fulltime Location Onsite - West Palm Beach Florida Job description: Core Experience & Qualifications 8-10 years as a SDET or QE Leader with strong coding skills in Python TypeScript or Java. Proven experience designing automation frameworks or developer tools for large...