Software Engineer, Internal AI Systems
About The Position
The DiSTI Corporation, a leading provider of graphical user interface software and customized 3D training solutions, is seeking a mid-level Software Engineer to maintain, improve, and expand its internal AI software stack. This role involves working with an existing in-house AI environment to enhance developer productivity, knowledge access, workflow automation, and internal business operations. It is an applied engineering role focused on leveraging modern AI tools like LLMs, RAG systems, agents, and code assistants, rather than pure machine learning research. The ideal candidate is a curious and practical builder who can independently identify opportunities for AI and automation to improve workflows, communicate ideas clearly, teach others how to use new tools, and explain technical tradeoffs to leadership. Success in this role means maintaining and improving internal AI systems, building useful tools that are adopted by others, and keeping the company current with practical AI developments.
Requirements
- 2–3+ years of professional software engineering experience.
- Degree in Computer Science, Software Engineering, or a related technical field.
- Strong programming in Python and JavaScript/TypeScript, with ability to work across multiple languages and codebases given AI assistance.
- Experience building backend services, APIs, internal tools, or integrations.
- Experience with Docker, Linux server environments, and relational databases (PostgreSQL or similar).
- Strong curiosity about modern AI tools and a demonstrated habit of experimenting with new technologies independently.
- Ability to communicate clearly with engineers, managers, and other stakeholders.
- Personal AI projects, GitHub repos, demos, prototypes, or examples of independent experimentation.
- Due to contract requirements, only US citizens are eligible for this role.
Nice To Haves
- Understanding of LLM systems including RAG architecture, embeddings, vector search, agents, retrieval quality evaluation, tool calling, and prompt engineering.
- Experience with on-premises AI platforms, local LLMs, RAG implementations, model routing, usage tracking, or controlled data environments.
- Familiarity with AI/automation tools such as OpenWebUI, Ollama, LiteLLM, n8n, vector databases, agent frameworks, or any of the many other tools.
- Experience with workflow automation platforms or building automated business/engineering workflows.
- Familiarity with CI/CD systems such as GitLab CI or GitHub Actions.
- Familiarity with web/backend frameworks (FastAPI, Flask, Express, Node.js, React).
- Experience building developer productivity tools, internal engineering platforms.
- Sound judgment about when to use AI and understanding of data security boundaries for sensitive, customer, or government-related data.
Responsibilities
- Maintain and improve the company's internal AI software stack, including chatbots, RAG-based knowledge bases, AI agents, code assistance tools, and workflow automation.
- Build internal tools and automation that improve engineering, management, documentation, code review, knowledge retrieval, and other business workflows.
- Design and extend backend services, APIs, integrations, and internal applications using Python, JavaScript/TypeScript, and related technologies.
- Work with on-premises and controlled AI infrastructure (including Anthropic and OpenAI models) where sensitive or government-related data must remain within company-controlled systems.
- Maintain Docker-based deployments and internal Linux server environments.
- Support AI model endpoints, LLM routing, usage tracking, cost awareness, and API integrations.
- Help manage internal knowledge systems using documents, code repositories, project management data, and other company sources.
- Evaluate new AI tools, frameworks, and workflows and determine whether they are practical, secure, and useful for the company.
- Communicate AI capabilities, limitations, and best practices to engineers and non-AI stakeholders.
- Work independently on ambiguous problems by researching, prototyping, using AI tools effectively, and turning ideas into working internal solutions.
- Help identify new areas across the company where AI, automation, or better tooling could reduce manual work or improve quality.
Benefits
- One of the Orlando Sentinel's Top 100 Workplaces for 5 consecutive years
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
