Agentic Delivery Engineer
- Support the implementation of AI/ML, analytics, and automation solutions within client environments
- Participate in prompt engineering, retrieval-augmented generation (RAG) approaches, and early-stage AI prototyping under the guidance of more senior team members
- Contribute to the integration of AI/ML models, including generative AI and LLM-based solutions, into business processes, applications, and user workflows
- Build and maintain data pipelines, including data ingestion, transformation, validation, and preparation for analysis or model use
- Apply your knowledge of software engineering and AI tools to satisfy business needs
- Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Information Systems, or related technical field
- 1+ years of experience building reliable, maintainable, and well-documented code
- 1+ years of experience with generative AI tools, LLM APIs, prompt engineering, or RAG-based applications
- 1+ years of experience building and deploying GenAI/LLM-powered solutions in client or production environments, demonstrating an understanding of the AI/ML lifecycle, including data preparation, testing, deployment, or monitoring
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve
- 1+ years of experience working with structured and/or unstructured data in a cloud or modern data environment such as AWS, Azure, or GCP
- Exposure to modern data and pipeline tools such as Databricks, Snowflake, BigQuery, dbt, or Airflow
- Experience with BI and visualization tools such as Power BI, Tableau, or Looker
- Ability to translate business or user needs into a technical output, workflow, or solution component
- Exposure to MLOps concepts such as model versioning, experiment tracking, or deployment workflow
- Participation in hackathons, technical competitions, open-source projects, or portfolio-based technical work
- Government consulting experience
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