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MarkJames Search

AI Developer, Quality Engineer

MarkJames Search, Charlotte, North Carolina, United States, 28245

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$70.00/hr - $80.00/hr Direct message the job poster from MarkJames Search Talent & Operations Specialist | Recruitment Strategy | Multilingual

AI Developer, Quality Engineering Location: New York City, Charlotte NC, or Dallas TX Duration: 2-year contract We're looking for an

AI Developer

to join our client's team for a

2-year contract . In this role, you'll be instrumental in designing and deploying cutting-edge agentic AI solutions to automate and enhance Quality Engineering (QE) processes. You will work closely with QE architects, product managers, and data scientists to create and implement a variety of autonomous and assistive agents. This position is open to candidates who can work from our client's offices in New York City, Charlotte, North Carolina, or Dallas, Texas. About the Role As an AI Developer, you will be responsible for building innovative agentic AI solutions that augment Quality Engineering. These solutions will include: Knowledge Agents

for intelligent decision-making and contextual data retrieval. Test Case and Script Generation Agents

that use LLMs and domain ontologies to create executable automation directly from user stories. Defect Triage Agents

that analyze logs, cluster similar bugs, and propose fixes. Risk-based Prioritization Agents

that intelligently select and plan tests. Key Responsibilities Design and implement AI-driven agents that support the full quality engineering lifecycle. Fine-tune and deploy

LLMs

and

retrieval-augmented generation (RAG)

pipelines for specific QE tasks. Utilize

multi-modal and multi-agent systems

for code, test, and defect generation. Work with QE teams to understand their needs and optimize agent performance. Integrate AI agents into existing enterprise

CI/CD pipelines

and DevOps toolchains. Continuously improve agent capabilities using feedback loops and other learning strategies. Evaluate and benchmark the performance of AI agents using key QE metrics. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field. At least

3 years of experience

in AI/ML/NLP development, with a strong preference for proficiency in

Python ,

TensorFlow ,

PyTorch , or

Hugging Face Transformers . Hands-on experience building LLM-based applications, including

prompt engineering , fine-tuning, and RAG. Familiarity with quality engineering concepts, such as

test design , automation frameworks (e.g., Selenium, Cypress), and the defect lifecycle. Experience with

vector databases

(e.g., FAISS, Weaviate, Pinecone) and embeddings. Proficiency with

RESTful APIs ,

Docker ,

Git , and major cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with autonomous agents or agent frameworks like LangChain, AutoGen, or CrewAI. Knowledge of software testing tools (e.g., JIRA, TestRail, Postman). Understanding of

DevOps pipelines

and tools (e.g., Jenkins, GitHub Actions). Exposure to

MLOps

practices for continuous learning and model deployment. Background in reinforcement learning or graph-based reasoning. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Contract Job function

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