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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
NLB Services • Florida, United States
Role & seniority: AI Quality Engineer (Senior level) • Full-time, onsite; local consultant only
Stack/tools: Python, TypeScript, Java; PyTest, Selenium, Playwright; API testing; REST APIs; AWS; CI/CD; GenAI/ML tools: LangChain, Hugging Face, GPT, vector DBs, RAG; agent tools: LangGraph, AutoGen, CrewAI; MCP/context-aware workflows (nice-to-have)
Build and maintain automated test suites for AI/GenAI features; validate AI outputs (hallucinations, prompt validation, regression checks)
Design, execute tests for functional, integration, API, performance/reliability; test RESTful APIs and automation pipelines
Collaborate with Developers, Data Scientists, and QE teams; contribute to quality strategy and CI/CD workflows including model validation steps
6–10 years in Software Engineer, SDET, or Automation Engineer roles
Strong coding in Python, TypeScript, or Java; hands-on automation scripting/tools
Experience validating LLMs/GenAI outputs; prompt engineering
Familiarity with agentic AI tools (LangGraph, AutoGen, CrewAI); basic MCP/context workflows (nice to have)
API testing, automation frameworks, and cloud/CI/CD exposure (AWS preferred)
Experience with LangChain, Hugging Face, GPT models, embeddings, similarity search, RAG pipelines
ML/DL libraries (Scikit-learn, PyTorch, TensorFlow, Keras, Transformers)
Testing for AI model evaluation tasks (output quality, model upda
This is Full time role Looking for local consultant only AI QE Looking for Junior profile 5 Days Onsite role
Practical experience with AI/ML frameworks: LangChain, Hugging Face, GPT models, vector databases, RAG pipelines.
Experience with ML/DL libraries such as: Scikit-learn, PyTorch, TensorFlow, Keras, Transformers, OpenCV. Ability to work with embedding’s, similarity search, and content evaluation metrics. GENAI & AI AGENT DEVELOPMENT Ability to integrate or build GenAI components, including RAG pipelines or agent- based workflows.