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Senior Applied AI Engineer, GenAI, LLM Evaluation
AscentSenior AI & Data Engineer developing AI-powered data products for Acuity Analytics. Building scalable data pipelines and evaluating LLMs while collaborating with Data Scientists and Engineers.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable data pipelines and workflows, with a strong focus on Generative AI and Large Language Models. Proven ability to deploy production-ready AI solutions while ensuring data quality and operational efficiency.
Highest-signal resume keywords
Data EngineeringMachine LearningGenerative AIPythonSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentModel BenchmarkingLLM EvaluationProduction-Ready ML SolutionsData Quality FrameworksAPI IntegrationCloud-Based AI ServicesAutomationEvaluation FrameworksGolden Datasets
Soft Skills
CollaborationProblem-SolvingCustomer-Facing Experience
Tools & Technologies
Agile MethodologyML-Assisted Tools
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Build and maintain scalable data pipelines and workflows.
- Develop evaluation frameworks for GenAI and LLM applications.
- Create and maintain golden datasets for model testing.
- Evaluate and benchmark LLM performance.
- Build ML-assisted tools to improve delivery and automation.
- Deploy production-ready AI solutions.
- Work closely with delivery teams to solve technical challenges.
- Continuously improve data quality, automation, and operational efficiency.
Requirements
What you’ll need- 5+ years' experience in Data Engineering, Machine Learning, AI Engineering, or Data Science.
- Strong Python and SQL skills.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience evaluating LLMs using golden datasets, model benchmarking, or LLM-as-a-Judge techniques.
- Experience building and deploying production-ready ML solutions.
- Strong understanding of data pipelines, validation, and quality frameworks.
- Experience integrating APIs and cloud-based AI services.
- Experience working in Agile, cross-functional teams.
- Consulting or customer-facing experience is a plus.
Benefits
Comp & perks- People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.