AI Developer (TS/SCI CI Poly)

Seamless Migration•Chantilly, VA

3h•Onsite

About The Position

Seamless Migration is seeking a career and customer oriented AI Developer to join our team in Chantilly, VA. Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks Implement and optimize algorithms for large language model (LLM) integration and deployment Build RESTful APIs and microservices to serve ML models in production environments Write clean, maintainable, and well-documented code following object-oriented programming principles Collaborate with cross-functional teams to understand requirements and translate them into technical solutions Work with databases (SQL, NoSQL, and Vector) to manage training data, model artifacts, and application state Containerize ML applications using Docker for consistent deployment across environments Utilize Git for version control and participate in code reviews to maintain code quality Conduct testing and debugging of ML applications to ensure reliability and accuracy Support the deployment and monitoring of AI/ML models in cloud environments Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices

Requirements

5 years of professional experience in software development or machine learning engineering
Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms
Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL)
Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph)
Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems
Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment
TS/SCI W/ CI Poly (existing clearance required to start)

Nice To Haves

Master's degree in computer science or related field
Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring
Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible
Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk
Contributions to open-source ML projects and familiarity with Agile development methodologies

Responsibilities

Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks
Implement and optimize algorithms for large language model (LLM) integration and deployment
Build RESTful APIs and microservices to serve ML models in production environments
Write clean, maintainable, and well-documented code following object-oriented programming principles
Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
Work with databases (SQL, NoSQL, and Vector) to manage training data, model artifacts, and application state
Containerize ML applications using Docker for consistent deployment across environments
Utilize Git for version control and participate in code reviews to maintain code quality
Conduct testing and debugging of ML applications to ensure reliability and accuracy
Support the deployment and monitoring of AI/ML models in cloud environments
Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices