Agentic AI Engineer / AI Developer Hybrid

About the role

We are staffing an AI Engineer/Dev & Business Intelligence Developer to build AI solutions while also delivering executive reporting, KPI dashboards, and measurable business outcomes. This is a W2 position with a direct client based in Reston, VA, requiring onsite travel once per month. No agencies or recruiters; only W2 applicants.

AI & Software Engineering Requirements

• 3+ years of experience building production-level AI or ML systems, including LLMs, AI agents, or complex automation frameworks.[KN1.1]
• 3+ years of experience with Python and Python libraries such as Pandas, NumPy, and related data processing tools.
• Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL).[KN2.1]
• Strong understanding and hands-on experience with Natural Language Processing (NLP).
• Experience with AI agent frameworks and tools such as LangGraph, LangChain, TensorFlow, or PyTorch.
• Experience optimizing workflows through intelligent automation and AI-driven solutions.
• Experience integrating AI agents with APIs, cloud platforms, enterprise applications, and databases.[KN3.1]
• Experience building and deploying AI pipelines on AWS SageMaker with Aurora PostgreSQL for data ingestion, analytics, and operational reporting.
• Experience performing automated testing, troubleshooting, and application maintenance.
• Experience with Software Development Lifecycle (SDLC) methodologies, including DevSecOps practices.
• Experience with cloud platform - Amazon Web Services (AWS).[KN4.1]
• Experience developing RESTful services using Java and Spring Boot.
• Experience managing CI/CD pipelines and containerized deployments using Kubernetes, Docker, Jenkins, or similar technologies.
• Preferred experience using GitHub and collaborative development platforms.

Business Intelligence & Analytics Requirements

• 3+ years of experience designing and developing business intelligence solutions and enterprise reporting platforms.
• Experience creating interactive dashboards and reports using tools such as Power BI, Tableau, or similar BI platforms.[KN5.1]
• Hands-on expertise with SQL, data querying, and relational database concepts.
• Experience developing data models, semantic layers, KPIs, scorecards, and performance metrics for business stakeholders.
• Experience integrating and transforming data from multiple enterprise systems and APIs for reporting and analytics purposes.
• Knowledge of data warehousing, ETL/ELT processes, data governance, and data quality management.
• Ability to analyze business requirements and translate them into meaningful visualizations and actionable insights.
• Experience building operational, executive, and analytical reports that support strategic decision-making.
• Understanding of data visualization best practices, reporting standards, and storytelling with data.
• Experience measuring and reporting AI solution performance, adoption metrics, operational efficiencies, and business outcomes.
• Strong communication skills with the ability to present technical and analytical findings to both business and executive audiences.

Preferred Qualifications

• Experience combining AI/ML capabilities with BI platforms to deliver intelligent reporting and decision-support solutions.
• Experience with Azure Data Factory, Databricks, Snowflake, Redshift, Synapse, or similar modern data platforms.
• Familiarity with MLOps, DataOps, and analytics engineering practices.
• Experience implementing AI-powered insights, predictive analytics, recommendation systems, or conversational analytics solutions.

Schedule

W2 position; requires onsite travel to Reston, VA once per month.