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Ai Test Engineer Mid level

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Vega Consulting Solutions, Inc
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 90000 - 150000 USD Yearly USD 90000.00 150000.00 YEAR
Job Description & How to Apply Below

Ai Engineer Mid Level

Candidates must be located in Maryland, Wash DC or Virginia.

Vega Consulting Solutions is hiring a Ai Test Engineer with automation testing experience for our client located in Baltimore, MD. This position will require candidates to work onsite once a week.

Job Description

Mid Level Ai Engineer to Conduct deep technical analysis and testing of AI/ML and Generative AI systems, including validation and verification of model outputs, prompt behavior, and end-to-end application workflows.

Job Requirements
  • ML concepts and GEN AI concepts
  • 3+ years of relevant testing experience with a strong background in Software QA with cloud technologies, including 3+ years of experience with hands-on exposure to AI/ML application testing.
  • 2+ years of relational database experience including generating complex queries, setting up database connections, and automating query processing, with familiarity in querying ML feature stores or data pipelines.
  • Experience in automated and manual testing in cloud environments, particularly for AI/ML and Gen AI applications, including validation of model outputs, embeddings, and LLM-generated responses.
  • Experience designing test strategies for non-deterministic systems, including techniques for evaluating accuracy, relevance, and safety of Gen AI outputs.
  • 1+ years of experience with BDD/Selenium and automation tools, with a plus for experience in AI testing frameworks.
  • Experience using Agile team collaboration and requirements management tools (Jira, Confluence).
  • Excellent written and oral communication skills and problem-solving abilities, with the ability to clearly articulate AI/ML testing findings to both technical and non-technical stakeholders.
  • Strong aptitude to learn and adapt to emerging AI/ML technologies and evolving Gen AI tooling.
  • Familiarity with AWS AI/ML services (Sage Maker, Bedrock) or equivalent cloud AI platforms is a plus.
  • Bachelor's degree required; technical degree preferred.
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