Summary
Bering Straits Professional Services (BSPS) is committed to world-class management of global logistics, training and procurement services for U.S. Government agencies. They are seeking an AI Software Engineer who will be responsible for designing and implementing AI capabilities, integrating conversational interfaces, and collaborating with stakeholders to enhance operational systems.
Responsibilities
- Responsible for designing, developing, and implementing AI-powered capabilities using Large Language Models (LLMs) across LogIT applications within the portfolio
- Responsible for developing and integrating conversational interfaces, copilots, and intelligent assistants into logistics and operational systems
- Responsible for building and maintaining retrieval-augmented generation (RAG) pipelines leveraging enterprise data sources, documents, and knowledge bases
- Responsible for implementing prompt engineering techniques, guardrails, and orchestration workflows to ensure accurate and secure AI outputs
- Responsible for integrating AI capabilities into existing systems using APIs, microservices, and middleware
- Responsible for collaborating with Product Owner(s), system engineers, and stakeholders to support implementation of AI use cases across the portfolio
- Responsible to attend and participate in daily team meetings, execute assigned workload, and work within project management tools i.e. JIRA, Confluence, etc
- Responsible for supporting monitoring, evaluation, and observability of LLM performance and usage
- Responsible for adhering to security, data governance, and Responsible AI standards
- Responsible for contributing to reusable AI components and shared engineering practices
Skills
- Must have a 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
Qualifications
Must Haves
- Must have a 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