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Latent Defense

Edge AI platform for battlefield deployment

Software Engineer

Full-TimeUpdated on 10/28/2026
No salary listed
Mid
New York, NY, USA
Hybrid
Software EngineeringAI Application Engineering

About the job

Requirements
  • Work across the stack, including model inference, container networking, and API design.
  • Reason about data flow, failure modes, and architecture.
  • Learn new SDKs, protocols, and deployment targets by building working prototypes.
  • Ensure systems can be observed, tested, scaled, and trusted.
  • Apply an adversarial security mindset.
Responsibilities
  • Wire up MCP servers shared across agent swarms, bridging SSE transports with STDIO proxies so the orchestration layer stays fast and composable.
  • Build and extend agent workflows inside the bespoke agent SDK, shaping how agents reason, collaborate, and act on the threat models produced by the world model.
  • Design integrations that trigger on git changes, cloud deployments, or ticketing events and close the loop with autonomous remediation.
  • Package and deploy models as hardened, IP-safe containers, compile models into optimized machine code, wrap them in Docker, and ship them without exposing weights.
  • Tune high-throughput inference pipelines that generate structured training data at scale.
  • Build the observability and telemetry layer to measure, grade, and improve systems, from proof-of-concept triage to system-wide efficacy.
  • Harden the product.

About the company

Latent AI provides edge AI and MLOps solutions for defense, government, and commercial sectors, enabling AI to run directly on field devices even with limited connectivity. Its LEIP toolkit handles the full AI workflow from data labeling to deployment and monitoring, while the Latent Field Tactical Suite combines rugged hardware with edge software to deploy, manage, and retrain models in the field without cloud access. The company differentiates itself with field-ready, secure edge AI for mission-critical environments, support for disconnected and GPS-denied operations, and DoD IL5 certification, plus leadership roles shaping industry standards. Its goal is to enable reliable on-device AI in harsh and contested environments, reduce dependence on cloud connectivity, speed up updates, and provide decision-support tools for defense, security, and critical infrastructure.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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Benefits

  • Health Insurance
  • Unlimited Paid Time Off
  • Hybrid Work Options
  • Company Equity