Senior AI Engineer — Cyber Ops & Production Systems

Neural Solutions

Maryland

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Neural Solutions is seeking a Senior Applied AI Engineer to pioneer production-grade AI systems for cyber operations. You will architect scalable AI solutions, lead exploration into new AI applications, and design agent orchestration across multiple models and tools.

You have deep Python expertise, extensive production AI experience, and a strong track record delivering robust, fail-safe AI services. This role emphasizes practical, implementable AI in security contexts with high reliability.

Qualifications

  • 12+ years of software engineering experience with Python.
  • Extensive experience building and deploying AI-powered apps in production.
  • Expert understanding of modern AI architectures (agents, RAG, chains, function calling).
  • Proven success integrating multiple AI services and handling failure modes.
  • Strong experience with MCP servers or similar serving infrastructure.
  • Advanced prompt engineering skills with measurable results.
  • Proficiency in resilient distributed systems and async workflows.
  • Thorough understanding of AI model strengths and limitations across providers.
  • Ability to rapidly prototype while maintaining production-quality standards.
  • Demonstrated ability to solve novel technical problems without predefined solutions.
  • Excellent debugging skills for unpredictable AI behaviors.

Responsibilities

  • Architect and implement production-grade AI systems for cyber operations, ensuring scalability and reliability.
  • Lead technical exploration into new AI applications, charting paths through untested solutions.
  • Design and build agent orchestration systems coordinating multiple AI models and tools.
  • Develop robust MCP server implementations as foundational infrastructure.
  • Create advanced prompt engineering strategies and reusable patterns for cyber scenarios.
  • Build fault-tolerant API integration layers that handle model failures and edge cases.
  • Mentor junior engineers while maintaining a high level of personal contribution.
  • Make architecture decisions balancing innovation and operational reliability.
  • Drive technical discussions about AI capabilities, limitations, and strategy.
  • Deliver proof-of-concepts showcasing groundbreaking capabilities.
  • Establish best practices for AI development in cyber operations.

Skills

Python
Production AI
AI architectures
AI service integration

Education

B.S. in a technical discipline
Experience may substitute degree (4 extra years)

Tools

MCP servers

Job description

Neural Solutions is seeking a Senior Applied AI Engineer to pioneer production-grade AI systems for cyber operations. You will architect scalable AI solutions, lead exploration into new AI applications, and design agent orchestration across multiple models and tools.

You have deep Python expertise, extensive production AI experience, and a strong track record delivering robust, fail-safe AI services. This role emphasizes practical, implementable AI in security contexts with high reliability.

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