AI Engineer I

Blue Cross of Idaho•Meridian, ID

2d•Hybrid

About The Position

Our AI Engineer I is focused on integrating pre-built AI/ML models like LLMs and computer vision APIs into production applications. They help build the system infrastructure that allows models to function reliably and solve real-world business problems. The AI Engineering team supports the design, development, testing and deployment of AI-enabled applications, automation workflows and generative AI solutions. This role works closely with senior engineers, data analysts, automation engineers, our Technical Product Owner and business stakeholders to build practical AI solutions using modern software engineering, data and cloud-based AI tools. The ideal candidate has, or is building, a foundation in Python, data concepts, APIs and AI fundamentals with an interest in growing hands-on experience in generative AI, retrieval-augmented generation, Azure AI services, Claude, Bedrock and Snowflake.

Requirements

Course work and/or experience with Claude, Bedrock, OpenAI, Snowflake or other related Cloud-native development tools
Familiarity with Python and common data and machine learning libraries such as Panda, NumPy, scikit-learn or similar tools.
Basic understanding of machine learning concepts, generative AI, large language models, prompt engineering and model evaluation practices.
Exposure to retrieval-augmented generation concepts (RAG), including embedding, vector search, document grounding and knowledge retrieval.
Familiarity with Git version control, agile delivery practices, technical documentation and collaborative development workflows.
Familiarity with LLM frameworks or SDK’s such as LangChain, LangGraph, OpenAI SDKs or similar agent and orchestration frameworks.
Familiarity with APIs, JSON, SQL, relational databases and integrating data or services across applications.
Awareness of responsible AI, content safety, prompt injection risks, hallucination mitigation observability and basic security practices for enterprise AI solutions.
Problem solving skills, attention to detail, curiosity and willingness to learn new AI tools, frameworks and development patterns.
Excellent communication and collaboration skills, with the ability to explain technical concepts clearly to both technical and non-technical partners.

Nice To Haves

Preference for experience supporting AI solutions and/or other relevant IT experience in regulated or enterprise environments such as finance or healthcare.

Responsibilities

Integrating pre-built AI/ML models like LLMs and computer vision APIs into production applications.
Building system infrastructure that allows models to function reliably and solve real-world business problems.
Supporting the design, development, testing and deployment of AI-enabled applications, automation workflows and generative AI solutions.
Working closely with senior engineers, data analysts, automation engineers, Technical Product Owner and business stakeholders to build practical AI solutions using modern software engineering, data and cloud-based AI tools.