Watchtower Labs · 9 hours ago
AI / ML Engineer (LLMs, Agents & Simulation Modeling)
Bellevue, WA
Full-time
Onsite
Mid Level
$170K/yr - $200K/yr
3+ years expWatchtower Labs is an early-stage startup focused on building AI-native systems for mission-critical environments. The AI / ML Engineer will lead the integration of large language models into workflows and decision engines, influencing national security outcomes through applied AI and systems engineering.
Computer Software
Responsibilities
Build and optimize agentic workflows powered by large language models
Design and refine prompt engineering and reasoning architectures for embedded AI systems
Integrate LLMs into simulation environments and real-time decision engines
Partner closely with backend and simulation engineers to deploy models in production
Apply AI techniques to guide decision-making in contested and dynamic environments
Experiment with and contribute to novel approaches in AI-driven reasoning and autonomy
Ensure reliability, performance, and safety of AI systems in mission-critical use cases
Qualification
Required
3+ years of experience in AI/ML or applied data science roles
Strong proficiency in Python for model development and experimentation
Hands-on experience working with modern LLMs (e.g., OpenAI, Anthropic, or open-source stacks)
Experience designing or integrating applied ML systems beyond offline experimentation
Ability to operate with high ownership in an onsite, fast-moving startup environment
Preferred
Familiarity with optimization techniques, simulation modeling, or autonomous agents
Experience with decision modeling or reasoning systems
Exposure to secure, regulated, or high-reliability environments
Experience with C# or integration with backend systems
Strong intuition for applying AI to real-world operational constraints
Benefits
Health, dental, and vision insurance
401(k) plan
Early-stage equity
Company
Watchtower Labs
Our team merges three worlds: National security operators, commercial tech investors with warfighting experiences, and technologists who have built and scaled the largest distributed systems in the world.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase