Software Engineer | Secure AI

Bestgate Engineering

  • Columbia, Maryland
  • 6 days ago

    Highlights

    Develop Model Context Protocol (MCP) servers and reusable AI skills that connect models to databases, microservices, and external APIs. Best fit for a backend engineer who wants to make AI usable in real enterprise systems without compromising security or engineering discipline.

    Numbers & Facts

    LocationColumbia, Maryland
    Websitehttps://www.bestgateeng.com

    Description

    THE OPPORTUNITY

    Bestgate Engineering is hiring for multiple software engineering opportunity at the intersection of backend engineering and applied AI. The role is not about training foundation models; it is about building the secure "paved road" that lets enterprise systems use AI safely, repeatably, and with the right guardrails.

    WHAT YOU WILL DO

    • Design and build internal APIs, middleware, routing layers, and reusable services for secure AI integration.
    • Develop Model Context Protocol (MCP) servers and reusable AI skills that connect models to databases, microservices, and external APIs.
    • Implement enterprise guardrails for privacy, sensitive data handling, prompt injection defense, and output validation.
    • Build and test software patterns for non-deterministic AI outputs and agent-like workflows.
    • Work across backend services, applied AI patterns, and secure software delivery practices.

    WHAT MAKES YOU COMPETITIVE

    • U.S. citizenship and ability to obtain a U.S. Government security clearance.
    • Strong Java software engineering experience, including modern frameworks and libraries such as Spring or Guava.
    • Experience designing enterprise APIs, RESTful services, and microservice architectures.
    • Familiarity with applied AI concepts such as prompt engineering, tool use, function calling, and Retrieval-Augmented Generation.
    • Comfort with Git, Nexus, Maven, Linux command line workflows, and agile delivery.
    • Strong troubleshooting, testing, and communication skills.

    NICE TO HAVE

    • Spring AI, LangChain4j, LangChain, LlamaIndex, vector databases, semantic caching, or AI observability tools.
    • NiFi, Kafka, AWS, Kubernetes, SQL/NoSQL databases, Python scripting, or Big Data platform exposure.
    • DoD 8140/8570 certification readiness if required by the customer.

    BEST FIT

    Best fit for a backend engineer who wants to make AI usable in real enterprise systems without compromising security or engineering discipline.

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