Machine Learning and AI Engineer
Tyto Athene, LLC22 hours ago
Remote, United StatesSenior
Base Salary
$135k - $155k/yr
Responsibilities
- Design, develop, train, evaluate, and deploy machine learning and deep learning models, including YOLO computer vision models and ONNX model serving.
- Build applications using commercial and open-weight LLMs on local hardware and cloud environments.
- Develop RAG pipelines using document ingestion, parsing, embeddings, vector databases, and hybrid keyword and semantic retrieval.
- Implement agentic AI workflows involving tool calling, orchestration, multi-agent coordination, and model context management.
- Improve models and AI applications through feature engineering, hyperparameter tuning, prompt design, fine-tuning, and performance optimization.
- Implement AI guardrails for input validation, PII, data classification, and safe failure behavior.
- Integrate AI/ML capabilities into production applications and APIs using modular architectures, reusable components, containers, automated testing, and CI/CD pipelines.
- Develop ETL/ELT pipelines for structured and unstructured data while maintaining data quality, lineage, and appropriate handling of sensitive information.
- Develop Power BI data models, DAX calculations, advanced analytics, and embedded reporting as needed.
- Integrate solutions with Microsoft Azure services, Azure OpenAI, Microsoft Entra ID, and OAuth.
- Translate ambiguous requirements into technical approaches, research emerging methods, and prototype solutions before production investment.
- Contribute to architecture, technical planning, code reviews, documentation, and communication with technical and nontechnical audiences.
Requirements
- Professional experience designing, developing, and supporting production software applications.
- Strong professional Python development experience with Django, FastAPI, or a comparable modern framework.
- Programming experience with Go and familiarity with JavaScript, TypeScript, or other modern application development languages.
- Experience designing, developing, and consuming RESTful APIs and integrating external systems and services.
- Experience with relational databases, data modeling, backend application architecture, and modern front-end web development technologies.
- Experience building AI agent or agentic-workflow systems with tool use, multi-step orchestration, and LLM integration.
- Experience with modern front-end development and exposure to generative or AI-driven user interfaces.
- Hands-on experience with AWS, GCP, or Azure and production application deployment, configuration, security, monitoring, and operations.
- Experience in CI/CD and DevOps-based software delivery, including automated builds, testing, deployments, version control, and release processes.
- Familiarity with Infrastructure as Code such as Terraform or CloudFormation, Docker, containers, and cloud-native application deployment.
- Familiarity with Kubernetes or managed container platforms is highly desirable.
- Professional use of AI-assisted development tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or comparable tools.
- Ability to troubleshoot software, integration, deployment, and production issues and build secure, reliable, maintainable solutions.
- Ability to work in ambiguous early-stage product environments, propose trade-offs, and iterate without fully specified requirements.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is desired.
- Direct experience with MCP or comparable agent-tool integration standards is desired.
- Experience with agent orchestration frameworks such as LangChain, LlamaIndex, or CrewAI is desired.
- Experience with AWS or GCP cloud-native services, cloud automation, modern JavaScript/TypeScript frameworks, vector databases, RAG, observability platforms, and regulated or federal environments is desired.
- Knowledge of NIST RMF, NIST SP 800-53 Revision 5, FedRAMP, and FISMA is desired.
- U.S. citizenship and the ability to obtain a DOD/DoW Secret or Top Secret security clearance are required; Secret or Top Secret clearance is preferred.
Benefits
- Health, dental, and vision insurance.
- 401(k) match.
- Paid time off.
- Short-term disability, long-term disability, and life insurance.
- Referral bonuses.
- Professional development reimbursement.
- Parental leave.
- Remote work in the U.S.; hybrid-remote work in Reston, Virginia is preferred.
Tech Stack
AWSAzureDatadogDjangoDockerFastAPIGitHub ActionsGitLab CI/CDGoGoogle Cloud PlatformJavaScriptKubernetesPythonReactSplunkTerraformTypeScript
Categories
About Tyto Athene, LLC
Tyto Athene, LLC provides IT services and systems integration for U.S. defense and national security customers, delivering network modernization, unified communications, hybrid cloud, cybersecurity, and enterprise IT. The privately held company, founded in 2018 and headquartered in Reston, Virginia, designs, deploys, and manages mission-critical infrastructure including command centers, mobility, wireless, and physical security systems. Its work is primarily delivered under government contracts for design-build projects, managed services, and lifecycle support across CONUS and OCONUS locations.