AI/ML SME

Globenet Consulting Corp; Bellevue (WA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Advancement opportunities

Training & development

Job summary

Globenet Consulting Corp in Fort Belvoir, VA seeks an AI/ML Engineer to design, develop, and deploy scalable AI applications and ML solutions. You will work with Python, LLMs, and RAG to deliver enterprise AI across business workflows.

Collaborate with engineering, cloud, cybersecurity, and product teams; implement secure AI practices; conduct AI safety evaluations; and document reusable components for production systems.

Qualifications

• Minimum 3 years in software engineering, application development, or AI/ML engineering.
• Strong Python development and backend service experience.
• Hands-on AI/ML, Generative AI, LLMs, and enterprise integration.
• Familiar with LangChain or similar AI agent frameworks.
• Understanding of RAG, context design, and AI evaluation.
• Experience integrating AI with enterprise systems and APIs.

Responsibilities

• Design, develop, test, deploy, and maintain AI/ML applications, services, and agent-based workflows.
• Build RAG solutions involving data ingestion, retrieval, grounding, and enterprise data integration.
• Integrate LLMs and AI models with APIs, microservices, enterprise applications, and business workflows.
• Develop scalable application components and APIs using Python.
• Implement AI agents using LangChain, Microsoft Agent Framework, or similar technologies.
• Conduct automated testing and AI evaluations for accuracy, relevance, safety, grounding, and performance.
• Troubleshoot AI applications, optimize model performance, and support production deployments.
• Implement secure AI practices, including access controls, authorization-aware retrieval, and sensitive data protection.
• Collaborate with engineering, cloud, cybersecurity, DevSecOps, and product teams.
• Develop AI safety and alignment policies to promote ethical, secure, and responsible AI systems.
• Maintain technical documentation and reusable engineering components.

Skills

Python development

API design

Backend services

Collaboration

Problem-solving

Education

Active Secret Security Clearance

CompTIA Security+ Certification

Tools

LangChain

Microsoft Agent Framework

APIs

AWS

Security best practices

Job description

Benefits:

• Competitive salary
• Opportunity for advancement
• Training & development

Job Title: AI/ML SME (AI/ML Engineer)
Location: Fort Belvoir, Virginia (Onsite)

Job Summary

We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable AI-powered applications and machine learning solutions. The ideal candidate will have strong Python development skills, hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI integration.

Key Responsibilities

• Design, develop, test, deploy, and maintain AI/ML applications, services, and agent-based workflows.
• Build RAG solutions involving data ingestion, retrieval, grounding, and enterprise data integration.
• Integrate LLMs and AI models with APIs, microservices, enterprise applications, and business workflows.
• Develop scalable application components and APIs using Python.
• Implement AI agents using LangChain, Microsoft Agent Framework, or similar technologies.
• Conduct automated testing and AI evaluations for accuracy, relevance, safety, grounding, and performance.
• Troubleshoot AI applications, optimize model performance, and support production deployments.
• Implement secure AI practices, including access controls, authorization-aware retrieval, and sensitive data protection.
• Collaborate with engineering, cloud, cybersecurity, DevSecOps, and product teams.
• Develop AI safety and alignment policies to promote ethical, secure, and responsible AI systems.
• Maintain technical documentation and reusable engineering components.

Required Qualifications

• Active Secret Security Clearance (Minimum) – Mandatory.
• CompTIA Security+ Certification – Mandatory.
• Minimum 3 years of experience in software engineering, application development, or AI/ML engineering.
• Strong hands-on experience developing Python applications, APIs, and backend services.
• Practical experience building Generative AI, LLM, or machine learning applications.
• Experience with LangChain, Microsoft Agent Framework, or comparable AI agent frameworks.
• Strong understanding of RAG, prompt engineering, context design, and AI evaluation.
• Experience integrating AI applications with enterprise systems, APIs, microservices, and web interfaces.
• Familiarity with cloud deployment, preferably AWS.
• Understanding of secure software development, data privacy, and access management.
• Strong collaboration, communication, and problem‑solving skills.

Preferred Qualifications

• Bachelor's degree with 10+ years of relevant AI/ML or software engineering experience.
• Hands‑on experience with Ask Sage (Highly Preferred).
• Familiarity with NIST AI safety frameworks and responsible AI practices.
• Experience implementing authorization‑aware RAG, data filtering, and secure AI tool access.
• Experience with AI evaluation, tracing, observability, monitoring, and optimization.
• Knowledge of human‑in‑the‑loop workflows, explainability, and AI governance.
• Relevant cloud, AI/ML, or software engineering certifications.

Technical Skills

• Programming: Python, SQL, R
• AI/LLM: Ask Sage, LangChain, Hugging Face, OpenAI, AI Agents, RAG, Vector Databases
• ML Frameworks: PyTorch, TensorFlow, Scikit‑learn, XGBoost
• Cloud: AWS, Azure, Google Cloud
• MLOps/DevOps: Docker, Kubernetes, MLflow, Airflow, CI/CD
• Data Technologies: Pandas, NumPy, Spark, Snowflake, Databricks
• Security: AI Safety, Access Controls, Secure AI Integration, Responsible AI

Work Environment

Primarily office‑based, with collaboration across technical and engineering teams.