Agentic AI Engineer / AI Developer Hybrid

Vega Consulting Solutions, Inc; Reston (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Vega Consulting Solutions, Inc. is seeking an Agentic AI Engineer / AI Developer in Reston to build AI/ML solutions and deliver executive dashboards. The role involves working on production systems, automating workflows, and providing measurable business outcomes.

You will design AI pipelines, integrate with APIs and data sources, and contribute to BI reporting using tools like Power BI/Tableau. On-site presence in Reston with monthly travel expectations is required.

Qualifications

• 3+ years building production AI/ML systems including LLMs or automated workflows.
• Proficient in Python with Pandas/NumPy for data processing.
• Hands-on with LLMs, ML, DL, RL and NLP.
• Experience with AI agent frameworks (LangGraph/LangChain).
• Cloud and AI tooling: AWS, SageMaker, TensorFlow, PyTorch.
• REST services in Java/Spring Boot and containerized deployments.
• CI/CD pipelines and Kubernetes/Docker/Jenkins.
• BI reporting, dashboards, and data visualization using Power BI/Tableau.
• SQL, data modeling, data warehouse concepts, and data governance.

Responsibilities

• Build AI/ML systems and intelligent automation frameworks.
• Deliver executive reporting, KPI dashboards, and measurable business outcomes.
• Collaborate with BI and engineering teams to translate requirements into data solutions.

Skills

AI/ML systems

Python

NLP

LangGraph

LangChain

TensorFlow

PyTorch

AWS SageMaker

RESTful services

Java

Spring Boot

CI/CD

Kubernetes

Docker

Jenkins

GitHub

SQL

Power BI/Tableau

Data modeling

Data visualization

Tools

Pandas

NumPy

LangGraph

LangChain

TensorFlow

PyTorch

Jenkins

Docker

Kubernetes

GitHub

Spring Boot

REST

AWS

Aurora PostgreSQL

Power BI

Tableau

SageMaker

Job description

Please, no agencies or recruiters, only W2 applicants.

Hiring! Agentic AI Engineer / AI Developer for our direct Reston Based Client. Seeking W2 base candidate who will travel onsite to Reston VA once a month.

We are staffing a AI Engineer/ Dev & Business Intelligence Developer, to build AI solutions while also delivering executive reporting, KPI dashboards, and measurable business outcomes.

Job Requirement

• AI & Software Engineering 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
• 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.