Onyx Government Services,LLC
Full Stack AI/ML Developer
Onyx Government Services,LLC, Chantilly, Virginia, United States, 22021
Company Overview
Onyx Government Services, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) based in Northern Virginia. We provide mission-focused technology solutions to federal agencies, with a commitment to security, innovation, and operational excellence.
Location: Hybrid: Remote & Onsite in Chantilly, VA This role requires occasional onsite presence, and preference will be given to candidates located within a commutable distance to Chantilly, VA.
Key Responsibilities We're seeking a mid to senior level developer with a strong foundation in AI/ML and full stack development. Collaborate with the Leadership, Business Development and R&D teams to prototype new AI solutions to support our federal customers.
AI/ML Development Research, design, and implement advanced AI solutions, including LLMs, retrieval-augmented generation (RAG), and agent-based systems. Build scalable training, fine-tuning, and inference pipelines for machine learning and generative AI models. Conduct feasibility studies and align AI/ML architectures with business objectives. Develop computer vision, NLP, and multi-modal AI pipelines as needed. Monitor and optimize deployed models for performance, reliability, and cost efficiency. Data Engineering & Processing Design and maintain robust data pipelines for structured and unstructured data ingestion at scale. Transform, clean, and normalize raw data into high-quality analytical formats for downstream AI use. Full Stack & Visualization Build user-facing dashboards, tools, and interfaces for AI-driven insights and workflows. Design intuitive and interactive visualizations for exploring data, relationships, and model outputs. Collaborate with stakeholders to translate requirements into functional and accessible solutions. DevOps & Cloud Infrastructure Architect and manage cloud-native environments to support AI/ML and full-stack applications. Ensure scalability, monitoring, and high availability of production systems. Set up CI/CD pipelines for continuous integration and deployment of both code and AI models.
Qualifications
3-5+ years of professional experience in
software engineering
and
preferrable experience in data engineering and applied AI/ML . Experience in
end-to-end AI solution development -from data pipelines and modeling to deployment and integration. Experience building and deploying systems involving
LLMs, RAG, NLP, or multi-modal AI . Proficiency in Python for backend, data, and analytical workflows. Background in or extensive exposure to
full-stack web development , including building APIs, services, and interactive UIs. Hands-on experience with
cloud platforms
(AWS, Azure, or GCP) and containerized environments. Understanding of
machine learning concepts
(neural networks, transformer architectures, reinforcement learning, etc.). Grasp of
distributed systems, event-driven workflows, and real-time data processing .
Bonus Experience
Developing investigative, analytical, or visualization tools for unstructured data. Working with knowledge graphs, large-scale search, or social intelligence platforms. Familiarity with reinforcement learning or agentic system design. Experience with JavaScript/TypeScript, Java, etc.
Location: Hybrid: Remote & Onsite in Chantilly, VA This role requires occasional onsite presence, and preference will be given to candidates located within a commutable distance to Chantilly, VA.
Key Responsibilities We're seeking a mid to senior level developer with a strong foundation in AI/ML and full stack development. Collaborate with the Leadership, Business Development and R&D teams to prototype new AI solutions to support our federal customers.
AI/ML Development Research, design, and implement advanced AI solutions, including LLMs, retrieval-augmented generation (RAG), and agent-based systems. Build scalable training, fine-tuning, and inference pipelines for machine learning and generative AI models. Conduct feasibility studies and align AI/ML architectures with business objectives. Develop computer vision, NLP, and multi-modal AI pipelines as needed. Monitor and optimize deployed models for performance, reliability, and cost efficiency. Data Engineering & Processing Design and maintain robust data pipelines for structured and unstructured data ingestion at scale. Transform, clean, and normalize raw data into high-quality analytical formats for downstream AI use. Full Stack & Visualization Build user-facing dashboards, tools, and interfaces for AI-driven insights and workflows. Design intuitive and interactive visualizations for exploring data, relationships, and model outputs. Collaborate with stakeholders to translate requirements into functional and accessible solutions. DevOps & Cloud Infrastructure Architect and manage cloud-native environments to support AI/ML and full-stack applications. Ensure scalability, monitoring, and high availability of production systems. Set up CI/CD pipelines for continuous integration and deployment of both code and AI models.
Qualifications
3-5+ years of professional experience in
software engineering
and
preferrable experience in data engineering and applied AI/ML . Experience in
end-to-end AI solution development -from data pipelines and modeling to deployment and integration. Experience building and deploying systems involving
LLMs, RAG, NLP, or multi-modal AI . Proficiency in Python for backend, data, and analytical workflows. Background in or extensive exposure to
full-stack web development , including building APIs, services, and interactive UIs. Hands-on experience with
cloud platforms
(AWS, Azure, or GCP) and containerized environments. Understanding of
machine learning concepts
(neural networks, transformer architectures, reinforcement learning, etc.). Grasp of
distributed systems, event-driven workflows, and real-time data processing .
Bonus Experience
Developing investigative, analytical, or visualization tools for unstructured data. Working with knowledge graphs, large-scale search, or social intelligence platforms. Familiarity with reinforcement learning or agentic system design. Experience with JavaScript/TypeScript, Java, etc.