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Entry Level Retrieval Augmented Generation Jobs in Boise, ID

Micron

Staff Machine Learning Engineer

Boise, ID · On-site

Retrieval-Augmented Generation (RAG) for knowledge grounding and fine-tuning pre-trained models on domain-specific datasets 14. Designing and implementing agentic systems that orchestrate autonomous ...

All JobsRetrieval Augmented Generation JobsEntry Level Retrieval Augmented Generation JobsEntry Level Retrieval Augmented Generation Jobs in Boise, ID

Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Boise, ID? For Entry Level Retrieval Augmented Generation jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Boise, ID look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Boise, ID are:
Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Boise, ID as of August 2026, with employment types broken down into 69% Full Time, 29% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Engineer I

Blue Cross of Idaho Health Service, Inc.

Meridian, ID • On-site

$78K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

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.
Location: this position offers a hybrid work location (onsite at Meridian Idaho campus and local WFH).
Required Education (must meet one of the following):
  • Bachelor's Degree in AI/ML, Computer Science, Information Systems, or closely related field of study or equivalent work experience (Two years' relevant work experience is equivalent to one-year college)
  • Applicable certification(s) +2 years additional relevant experience
  • Associate's Degree in AI/ML, Computer Science, Information Systems, or closely related field of study + 2 years additional relevant experience

Key Skills should include:
  • 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.
  • Preference for experience supporting AI solutions and/or other relevant IT experience in regulated or enterprise environments such as finance or healthcare.

As of the date of this posting, a good faith estimate of the current pay range is $78,064 to $117,095. The position is eligible for an annual incentive bonus (variable depending on company and employee performance). The pay range for this position takes into account a wide range of factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, travel requirements, internal equity, business or organizational needs, and alignment with market data. At Blue Cross of Idaho, it is not typical for an individual to be hired at or near the top range for the position. Compensation decisions are dependent on factors and circumstances at the time of offer.
We offer a robust package of benefits including paid time off, paid holidays, community service and self-care days, medical/dental/vision/pharmacy insurance, 401(k) matching and non-contributory plan, life insurance, short and long term disability, education reimbursement, employee assistance plan (EAP), adoption assistance program and paid family leave program.
We will adhere to all relevant state and local laws concerning employee leave benefits, in line with our plans and policies.
Reasonable accommodations
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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