Ai Test Engineer Mid level
Job in
Baltimore, Anne Arundel County, Maryland, 21276, USA
Listed on 2026-09-13
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
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 DescriptionMid 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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