AI Software Engineer

Bering Straits Native Corp•Anchorage, AK

4d•Onsite

About The Position

The AI Software Engineer is responsible for designing, developing, and implementing AI-powered capabilities using Large Language Models (LLMs) across LogIT applications within the portfolio. This role involves developing and integrating conversational interfaces, copilots, and intelligent assistants into logistics and operational systems. The engineer will build and maintain retrieval-augmented generation (RAG) pipelines, implement prompt engineering techniques, and integrate AI capabilities into existing systems using APIs, microservices, and middleware. Collaboration with Product Owners, system engineers, and stakeholders is key to supporting AI use cases. The position requires participation in daily team meetings, execution of workload within project management tools like JIRA and Confluence, and supporting the monitoring and evaluation of LLM performance. Adherence to security, data governance, and Responsible AI standards is mandatory, along with contributing to reusable AI components and shared engineering practices.

Requirements

Bachelor’s degree or 5-10 years’ equivalent experience.
Three (3)-Five (5) years of software engineering experience.
Experience developing applications using modern programming languages (e.g., .NET, Python, Java, or similar).
Experience integrating or working with LLM APIs (e.g., Azure OpenAI, OpenAI, Google Gemini).
Hold or have the ability to acquire a government security clearance; requires U.S. citizenship.
Knowledge of LLM concepts including prompt engineering, embeddings, and retrieval-augmented generation (RAG).
Knowledge of APIs and microservices-based system integration.
Familiarity with cloud-based AI platforms.
Ability to develop AI-enabled features within LogIT and enterprise systems.
Ability to analyze and translate technical and business requirements into functional AI solutions.
Ability to evaluate AI outputs and apply improvements for accuracy and reliability.

Responsibilities

Designing, developing, and implementing AI-powered capabilities using Large Language Models (LLMs) across LogIT applications within the portfolio.
Developing and integrating conversational interfaces, copilots, and intelligent assistants into logistics and operational systems.
Building and maintaining retrieval-augmented generation (RAG) pipelines leveraging enterprise data sources, documents, and knowledge bases.
Implementing prompt engineering techniques, guardrails, and orchestration workflows to ensure accurate and secure AI outputs.
Integrating AI capabilities into existing systems using APIs, microservices, and middleware.
Collaborating with Product Owner(s), system engineers, and stakeholders to support implementation of AI use cases across the portfolio.
Attending and participating in daily team meetings, executing assigned workload, and working within project management tools i.e. JIRA, Confluence, etc.
Supporting monitoring, evaluation, and observability of LLM performance and usage.
Adhering to security, data governance, and Responsible AI standards.
Contributing to reusable AI components and shared engineering practices.