Ai Software Engineer

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

Benefits offered by this job

Travel/onsite as needed

Job summary

Vega Consulting Solutions, Inc. seeks an AI Software Engineer for a Reston-based client. Role travels onsite to Reston VA monthly, building AI solutions while delivering executive reporting, KPI dashboards, and measurable business outcomes.

Requirements include 3+ years in AI/ML, Python, NLP, LLMs, and experience with AWS SageMaker, SQL, Java/Spring Boot, and CI/CD. Collaboration with business intelligence to drive impact.

Qualifications

• 3+ years building production AI/ML systems including LLMs or AI agents.
• 3+ years Python with Pandas/NumPy or equivalent data processing tools.
• Experience with LLMs, ML/DL, RL and NLP.
• Hands-on with AI agent frameworks like LangGraph, LangChain, TensorFlow or PyTorch.
• Experience deploying AI pipelines on AWS SageMaker and Aurora PostgreSQL.
• Experience RESTful services using Java/Spring Boot and CI/CD pipelines.
• Experience with cloud integration, APIs, databases and enterprise apps.

Responsibilities

• Develop AI solutions while delivering executive reporting and KPI dashboards.
• Build and maintain AI pipelines, automation, and data integrations.
• Collaborate with BI to produce measurable business outcomes.
• Ensure SDLC/DevSecOps practices and reliable deployments.

Skills

AI/ML Engineering

Python

NLP

LangGraph/LangChain

TensorFlow/PyTorch

API integration

AWS SageMaker

SQL/Data querying

RESTful services

CI/CD & Kubernetes

Java/Spring Boot

Education

Bachelor's degree in CS/ICT or related

Tools

AWS

Kubernetes

Docker

Jenkins

GitHub

Spring Boot

Job description

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