Agentic AI Engineer (Business Intelligence & Reporting)

Location: Hybrid in Reston, Virginia, United States

Company

hirify.global is offering a contract opportunity focused on agentic AI engineering and business intelligence.

What you will do

• Build and deploy AI agents that automate labor-intensive workflows and support data-driven decision-making.
• Develop software for agent communication and integrate models and agents with APIs, cloud platforms, enterprise applications, and databases.
• Build data integration pipelines and reporting solutions, including dashboards, KPIs, scorecards, and operational metrics.
• Deploy, test, debug, monitor, and maintain agentic AI systems and pipelines.
• Evaluate AI solutions for accuracy, performance, adoption, operational efficiency, and business impact.
• Research, prototype, document findings, and present technical and analytical insights to business and executive audiences.

Requirements

• 3+ years of experience building production-level AI or ML systems, including LLMs, AI agents, or complex automation frameworks.
• 3+ years of experience with Python, Pandas, NumPy, and data-processing tools.
• Hands-on experience with LLMs, machine learning, deep learning, reinforcement learning, NLP, and agent frameworks such as LangGraph, LangChain, TensorFlow, or PyTorch.
• Experience deploying AI pipelines on AWS SageMaker with Aurora PostgreSQL and using AWS cloud services.
• Experience with Java, Spring Boot, RESTful services, SQL, relational databases, BI platforms, and enterprise reporting.
• Experience with SDLC, DevSecOps, automated testing, CI/CD, Kubernetes, Docker, Jenkins, and data integration.

Nice to have

• Experience with Power BI, Tableau, or similar business intelligence platforms.
• Experience with Azure Data Factory, Databricks, Snowflake, Redshift, Synapse, MLOps, DataOps, or analytics engineering.
• Experience combining AI/ML with BI platforms for intelligent reporting and decision-support solutions.
• Experience with predictive analytics, recommendation systems, or conversational analytics.
• Experience using GitHub and collaborative development platforms.

Culture & Benefits

• 12-month-plus contract opportunity.
• Collaborative work with data scientists, product managers, business analysts, and other stakeholders.
• Emphasis on transparency, fairness, security, and responsible AI practices.
• Opportunity to share discoveries, seek feedback, and support organizational learning.