AI Engineer - Top Secret
About The Position
Sunayu, LLC is looking for an AI Engineer who will support the development and operationalization of AI and agentic AI systems in production mission environments. This role involves collaborating with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. The engineer will apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. A key aspect of the role is contributing to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
Requirements
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.
- 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master’s).
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph
- Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
- Track record of creative problem solving, active learning, and mission-focused outcomes.
- AI/ML production engineering
- LLMOps / MLOps
- RAG architectures
- AI orchestration frameworks
- Kubernetes-based AI deployments
- OpenAI-compatible APIs
- Python development
- GPU inference optimization
Nice To Haves
- Experience supporting military or intelligence community customers.
- Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
- Familiarity with LangGraph
- Familiarity with Semantic Kernel
- Familiarity with vLLM
- Familiarity with Ollama
- Familiarity with Ray
- Familiarity with NVIDIA GPU ecosystems
- Familiarity with Vector databases
Responsibilities
- Support the development and operationalization of AI and agentic AI systems in production mission environments.
- Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
- Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
- Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
Benefits
- Company-reimbursed training and continuing education of up to $5,000 per year.
- Participation in industry conferences and events.
- 3 Medical Plan Options
- Dental and Vision
- FSA, DCFSA, HSA
- Life/AD&D Insurance
- Short-Term & Long-Term Disability
- Employee Assistance Program (EAP)
- Training and Educational Assistance
- Paid Time Off (PTO)
- 11 Federal holidays
- 401k plan with up to a 6% match (100% immediate vesting)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
