Machine Learning Engineer, AI

Job not on LinkedIn

🔥 8 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $135k - $155k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tyto Athene, LLC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

🎖️ Defense

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

Tyto Athene, LLC is a defense-focused advanced technology company (appearing on its site as Quantum Sky) that engineers mission advantage across quantum technologies, cyber operations, resilient networks, and autonomous decision systems for contested, high-threat environments. The firm emphasizes applied research and IP development through "Project 137," and organizes capabilities into programs for quantum-enabled sensing and algorithms (Frontier), preemptive/autonomous cyber defense (Armory), autonomic digital platforms and networks (Matrix), and AI/agentic decision-advantage systems (Axis). Its messaging and product lines are explicitly mission- and warfighter-oriented, targeting customers that operate in post-quantum, contested, and machine-speed domains.

📋 Description

• Develop and integrate AI/ML capabilities into digital platforms and enterprise applications • Take solutions from research and rapid prototyping through evaluation and production deployment • Deploy reliable AI capabilities on local hardware and in cloud environments • Integrate AI/ML solutions with enterprise systems and communicate their value and limitations • Design, develop, train, evaluate, and deploy machine learning and deep learning models, including YOLO computer vision models and ONNX model export and serving • Develop applications using commercial and open-weight large language models deployed locally or in cloud environments • Build and optimize retrieval-augmented generation pipelines using document ingestion and parsing, embeddings, vector databases, and hybrid 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 sensitive-information handling • Develop Power BI data models, DAX calculations, advanced analytics, and embedded reporting as needed • Integrate solutions with Microsoft Azure services, including Azure OpenAI, and enterprise authentication using Microsoft Entra ID and OAuth • Translate ambiguous requirements into technical approaches, research emerging methods, and prototype solutions • Contribute to architecture, technical planning, code reviews, and documentation • Communicate findings to technical and nontechnical audiences

🎯 Requirements

• Demonstrated professional experience designing, developing, and supporting production software applications • Strong hands-on software development experience with Python, including professional experience developing applications using 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 applications with 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: tool use, multi-step orchestration, and integration with large language models • Experience with modern front-end development, including at least exposure to generative or AI-driven UI • Hands-on experience working in cloud environments such as AWS, GCP, or Azure, with an understanding of how applications are deployed, configured, secured, monitored, and operated in production • Experience working within a CI/CD and DevOps-based software delivery environment, including automated builds, testing, deployments, version control, and release processes • Familiarity with Infrastructure as Code (Terraform, CloudFormation, or similar), sufficient to work effectively alongside the engineers who own it • Experience with Docker, containers, and cloud-native application deployment. Familiarity with Kubernetes or managed container platforms is highly desirable • Demonstrated experience using AI-assisted software development tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or comparable technologies as part of day-to-day professional software development • Ability to independently troubleshoot software, integration, deployment, and production issues and develop secure, reliable, and maintainable solutions • Comfort operating in a high-ambiguity, early-stage product environment: able to ask clarifying questions, propose trade-offs, and iterate without fully specified requirements • Strong analytical, problem-solving, and communication skills with the ability to collaborate across software engineering, product, cloud, and platform teams • US Citizenship with the ability to obtain a security clearance • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field (desired) • DOD/DoW Secret or Top Secret clearance is preferred • Direct experience with the Model Context Protocol (MCP) or comparable agent-tool integration standards • Experience with agent orchestration frameworks (for example LangChain, LlamaIndex, CrewAI, or comparable) • Experience developing software for network operations, telemetry, or mission/tactical systems • Experience with AWS and/or GCP cloud-native services, including serverless, container, database, messaging, monitoring, identity, and security services • Hands-on experience with technologies such as Terraform, Docker, Kubernetes, GitHub Actions, GitLab CI, AWS CodePipeline, CloudFormation, or comparable DevOps and cloud automation technologies • Experience with modern JavaScript/TypeScript frameworks (React or similar), including streaming UI patterns • Familiarity with vector databases, retrieval-augmented generation, or other applied large-language-model patterns • Experience with observability and monitoring platforms such as CloudWatch, OpenSearch, Splunk, Datadog, New Relic, or similar technologies • Knowledge of the NIST Risk Management Framework (RMF), NIST SP 800-53 Revision 5, FedRAMP, and FISMA security and compliance requirements • Experience translating operational or mission requirements into application features, automation, workflows, integrations, or reporting capabilities • Prior experience supporting a Defense Information Systems Agency, Army, Air Force, or other Department of War program • Experience developing and operating software supporting federal government, enterprise, or other highly regulated environments

🏖️ Benefits

• Health/Dental/Vision • 401(k) match • Paid Time Off • STD/LTD/Life Insurance • Referral Bonuses • professional development reimbursement • parental leave

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