Full-Time
Apply Now About the Role
About Us
Seamless Migration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) started in 2021 with the purpose of enabling businesses and organizations through automation. Our goal is to help organizations discover, implement, and maintain solutions which evolve and mature with their ever-changing business needs. We believe in applying agile methodologies in all aspects of our business practices and use these methods to ensure effective results for our clients.
Seamless Migration is seeking a career and customer oriented AI Developer to join our team in Chantilly, VA.
Clearance
• TS/SCI W/ CI Poly (existing clearance required to start)
Location
• Chantilly, VA
Overview
• 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
Qualifications
• 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
Nice to Have
• 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
Benefits
• 100% paid Medical, Dental & Vision for Our Employee
• 6% 401K match (Vested Immediately)
• 29 Days' PTO
• Flexible Work Schedule
• Tuition/Certification Reimbursement
• Growth Opportunities w/in an Emerging Defense Company
• All your information will be kept confidential according to EEO guidelines
What you'll do
- 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
- TS/SCI W/ CI Poly (existing clearance required to start)
- 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
- 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
Benefits
- Benefits
- 100% paid Medical, Dental & Vision for Our Employee
- 6% 401K match (Vested Immediately)
- 29 Days' PTO
- Flexible Work Schedule
- Tuition/Certification Reimbursement
- Growth Opportunities w/in an Emerging Defense Company
- All your information will be kept confidential according to EEO guidelines