ML Engineer — AI Pipelines & LLM Deployment

Signature Federal Systems , LLC; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Signature Federal Systems, LLC is seeking a Machine Learning Engineer to design, develop, and deploy AI-driven applications that enhance IT operations and automate processes. You will collaborate with cross-functional teams to deliver insights and scalable ML solutions.

The role emphasizes building ML pipelines, deploying LLMs, and creating robust APIs, with emphasis on maintaining code quality and documentation. Active TS/SCI clearance is required for this position.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, or a related technical field with five years of professional experience.
• Proficiency in Python and object-oriented design, patterns, data structures, and algorithms.
• Experience with Git, Docker, and database management (SQL/NoSQL).
• Knowledge of LLMs, LangChain/LangGraph, and retrieval-augmented generation (RAG).
• Familiarity with vector databases and deploying AI solutions.

Responsibilities

• Develop and maintain ML pipelines and apps using Python and modern ML frameworks.
• Implement and optimize LLM integration and deployment.
• Build RESTful APIs and microservices to serve ML models in production.
• Write clean, well-documented code following OOP principles.
• Collaborate with cross-functional teams to translate requirements into tech solutions.
• Manage training data, model artifacts, and application state with SQL/NoSQL and vector databases.
• Containerize ML apps with Docker for consistent deployment.
• Use Git and participate in code reviews to maintain quality.
• Test and debug ML apps to ensure reliability and accuracy.
• Support deployment and monitoring of AI/ML models in cloud environments.
• Stay updated on ML trends, LLMs, and AI engineering best practices.

Skills

Python

Object-oriented programming

Git

Docker

SQL/NoSQL

LLMs

RAG

Vector databases

LangChain LangGraph

Cloud basics

Education

Bachelor's degree in CS/SE/Data Science

5+ years of software/machine learning experience

Master's degree (desired)

Tools

RESTful APIs

Microservices

Git

SQL/NoSQL databases

LangChain

LangGraph

Job description

Signature Federal Systems, LLC is seeking a Machine Learning Engineer to design, develop, and deploy AI-driven applications that enhance IT operations and automate processes. You will collaborate with cross-functional teams to deliver insights and scalable ML solutions.

The role emphasizes building ML pipelines, deploying LLMs, and creating robust APIs, with emphasis on maintaining code quality and documentation. Active TS/SCI clearance is required for this position.