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Skayl

Skayl

via ZipRecruiter

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Applied AI Engineer (Systems Integration)

Anywhere
full-time
Posted 10/15/2025
Verified Source
Key Skills:
LLM integration
AI experimentation
REST APIs
JSON/XML data formats
Systems engineering concepts
Model-based systems engineering (MBSE)

Compensation

Salary Range

$100K - 140K a year

Responsibilities

Develop and prototype AI-assisted software tools to interpret and align complex systems data using LLMs and collaborate with engineers to validate outputs.

Requirements

Proficiency with programming languages, knowledge of LLMs and prompt design, familiarity with systems engineering and MBSE, and strong analytical skills.

Full Description

• ** U.S. Citizenship Required *** We’re looking for a hands-on, inventive engineer who’s passionate about exploring how large language models (LLMs) can assist with structuring, aligning, and reasoning over complex systems data. In this role, you’ll experiment with LLMs to interpret and organize technical information - such as Interface Control Documents (ICDs) and system models - into deterministic, machine-readable formats. You’ll work at the intersection of model-based systems engineering (MBSE) and applied AI, developing software tools and workflows that help humans and machines understand each other more effectively. Core Responsibilities • Explore how AI can assist in parsing and reusing existing data models and ICDs. • Prototype and implement software solutions that use LLMs to process, align, or translate structured technical data. • Work with academic researchers to leverage statistical values used within LLMs to assess and improve results. • Analyze relationships and similarities across data structures and propose approaches for automated model alignment. • Integrate AI tools into deterministic workflows - ensuring repeatable, auditable results. • Collaborate with systems and software engineers to validate AI-assisted outputs against known specifications. • Document findings, share lessons learned, and help evolve Skayl’s approach to AI-assisted system integration. Qualifications • Proficient in one or more programming languages (familiarity with REST APIs, data formats like XML/JSON, and model-based data structures). • Working knowledge of LLMs (e.g., OpenAI, Anthropic, or similar APIs) and experience with prompt design or AI experimentation. • Familiarity with systems engineering concepts, including ICDs, schema-based data, or MBSE tools. • Strong analytical and creative problem-solving skills - unafraid to try, fail, and iterate. • Experience in the defense or aerospace domain is a plus. Company DescriptionAt Skayl, we make systems talk. Our technology connects the complex - from defense to aerospace to mission-critical operations - enabling organizations to share data seamlessly and securely. When the stakes are high, we ensure the right information gets where it needs to go, every time. We’re a team of engineers, innovators, and problem-solvers who thrive on challenge. We build tools that make interoperability simple, predictable, and scalable - transforming how systems and people work together. At Skayl, you won’t be lost in a massive hierarchy. You’ll be part of a small, agile team where your ideas matter, experimentation is encouraged, and technical curiosity is celebrated. Our work sits at the intersection of software engineering, systems integration, and model-based software engineering - helping modernize the digital backbone of national defense and other real-time, high-consequence environments. If you love diving deep into complex technical problems, breaking barriers between systems, and delivering elegant, reliable solutions that make a tangible impact, you’ll feel right at home here. We offer flexibility, autonomy, and a mission-driven environment where innovation isn’t just supported - it’s expected.

This job posting was last updated on 10/18/2025

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