Enterprise AI Engineer — LLM & AI Solutions

Investigative Case Management powered by Tapestrii; Omaha (NE); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Health savings account

Dental insurance

Vision insurance

401(k) matching

Life insurance

Paid time off

Parental leave

Disability insurance

Childcare assistance

Education reimbursement

Fitness membership

Volunteer time off

Job summary

Aperia Solutions is seeking an experienced AI/LLM Software Engineer to design, build, and integrate intelligent capabilities into enterprise applications. You will collaborate with software engineers, architects, and product teams to apply AI across payments and compliance domains.

Applicants should have hands-on experience with Generative AI, LLMs, and API-driven development, with strong fundamentals in software engineering and secure, scalable practices.

Qualifications

• 2+ years of software engineering experience with Generative AI/LLMs.
• Experience integrating LLMs or AI services into applications.
• Understanding of prompt engineering, tokens, context windows, embeddings, vector search, RAG, and tool calling.

Responsibilities

• Design, develop, and integrate AI/LLM-powered capabilities into enterprise apps.
• Evaluate and integrate LLM platforms, models, and APIs (Azure OpenAI, OpenAI, etc.).
• Build and consume RESTful APIs to connect AI features with existing systems.
• Collaborate with stakeholders to identify AI use cases and translate requirements into technical solutions.
• Ensure AI solutions meet security, privacy, and DevSecOps practices.
• Mentor team members and share AI/LLM best practices.

Skills

Generative AI

LLM integration

API development

Prompt engineering

Azure OpenAI/OpenAI

GitHub Copilot

Security & privacy

C#/.NET

Education

Bachelor's degree in Computer Science

Job description

Aperia Solutions is seeking an experienced AI/LLM Software Engineer to design, build, and integrate intelligent capabilities into enterprise applications. You will collaborate with software engineers, architects, and product teams to apply AI across payments and compliance domains.

Applicants should have hands-on experience with Generative AI, LLMs, and API-driven development, with strong fundamentals in software engineering and secure, scalable practices.