Senior AI Engineer - LLMs, RAG & Enterprise Apps

Investigative Case Management powered by Tapestrii

Omaha (NE)

On-site

USD 120,000 - 190,000

Full time

14 days+

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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

Investigative Case Management powered by Tapestrii is seeking a skilled software engineer to design and integrate AI/LLM capabilities into enterprise applications. You will work to translate business requirements into production-ready AI solutions with a focus on security and scalability.

The role requires 4+ years of software development experience and 2+ years in Generative AI/LLM technologies, with proficient use of C#/.NET and familiarity with cloud platforms such as Azure, AWS, or Google

Qualifications

  • Requires 4+ years of professional software development experience.
  • 2+ years of hands-on exposure to Generative AI and LLM technologies.
  • Experience with C#/.NET; familiarity with cloud platforms (Azure/AWS/Google Cloud).

Responsibilities

  • Design and integrate AI/LLM capabilities into enterprise applications.
  • Collaborate with stakeholders to translate business requirements into production-ready AI solutions.

Skills

Generative AI
Large Language Models
C#
.NET
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
RESTful APIs
Azure OpenAI
Python
Git
CI/CD
Agile/Scrum
Cloud Computing
Software Architecture
Object-Oriented Programming

Tools

Azure
AWS
Google Cloud

Job description

Investigative Case Management powered by Tapestrii is seeking a skilled software engineer to design and integrate AI/LLM capabilities into enterprise applications. You will work to translate business requirements into production-ready AI solutions with a focus on security and scalability.

The role requires 4+ years of software development experience and 2+ years in Generative AI/LLM technologies, with proficient use of C#/.NET and familiarity with cloud platforms such as Azure, AWS, or Google

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