Generative AI Developer

System One; Knoxville (TN); On-site; USD 92,000 - 125,000; Full time

Benefits offered by this job

Health and welfare benefits

401(k) plan

Dental and vision coverage

Job summary

System One is seeking a Generative AI Developer to advance AI-powered applications in an onsite, direct-hire role in the Knoxville region. The ideal candidate will leverage Python, LLMs, and cloud services to build scalable AI features integrated with enterprise systems.

You will participate in the full SDLC, implement REST-based back-end services, and collaborate with QA, analysts, and other technical stakeholders to deliver robust AI-enabled capabilities.

Qualifications

• 5+ years of hands-on Python development experience.
• Experience with Generative AI applications.
• Strong understanding of Large Language Models (LLMs).
• Experience with AWS cloud deployments.
• Developing and deploying REST APIs and backend services.
• Familiarity with secure development practices.
• Knowledge of Retrieval Augmented Generation (RAG) is a plus.

Responsibilities

• Develop and enhance Generative AI applications and services using Python.
• Build functionality with LLMs and Generative AI capabilities.
• Integrate AI with enterprise applications, APIs, databases, and cloud services.
• Develop and support AI solutions in an AWS-based environment.
• Work with prompt engineering, LLM APIs, and related techniques.
• Develop APIs and back end services enabling interaction with AI models and data sources.
• Participate in SDLC including requirements, development, testing, and deployment support.
• Write clean, maintainable, testable Python code for enterprise apps.
• Perform unit testing and troubleshoot issues in development and testing cycles.
• Collaborate with developers, QA, business analysts, and other stakeholders.
• Follow established enterprise development, security, testing, and deployment standards.
• Stay current with evolving Generative AI technologies and apply them to business problems.

Skills

Python

Generative AI

LLMs

REST APIs

SDLC

Tools

AWS

Git

CI/CD pipelines

Amazon Bedrock

Job description

Job Title: Generative AI Developer
Location: Lafayette, LA, Knoxville, TN, Columbia, SC or Birmingham, AL
Type: Direct Hire
Compensation: $108,600.00
Work Model: Onsite – onsite
Hours: 40.0
Security Clearance: (not specified)

Overview

Responsibilities

• Develop and enhance Generative AI applications and services using Python.
• Build application functionality that incorporates Large Language Models (LLMs) and Generative AI capabilities.
• Integrate AI capabilities with existing enterprise applications, APIs, databases, and cloud services.
• Develop and support AI solutions within an AWS based environment.
• Work with prompt engineering, LLM APIs, and related Generative AI development techniques to address business use cases.
• Develop APIs and back end services that enable applications to interact with AI models and supporting data sources.
• Participate throughout the SDLC, including requirements analysis, development, unit testing, troubleshooting, defect resolution, and implementation support.
• Write clean, maintainable, testable Python code suitable for enterprise applications.
• Perform unit testing and troubleshoot issues identified during development and testing cycles.
• Collaborate with developers, QA teams, business analysts, and other technical stakeholders to deliver AI enabled application capabilities.
• Follow established enterprise development, security, testing, and deployment standards.
• Stay current with evolving Generative AI technologies and apply relevant capabilities to practical business problems.

Requirements

• 5+ years of hands on Python development experience, including development of enterprise applications or services.
• Hands on experience developing Generative AI applications or AI enabled software solutions.
• Strong understanding of Large Language Models (LLMs) and how they are incorporated into applications.
• Experience working with LLM APIs, prompt engineering, and Generative AI development patterns.
• Experience developing and deploying applications in AWS cloud environments.
• Strong experience developing REST APIs, back end services, and application integrations using Python.
• Experience integrating applications with databases, APIs, and enterprise data sources.
• Understanding of techniques used to provide enterprise data and context to LLM powered applications; experience with Retrieval Augmented Generation (RAG) is highly desirable.
• Familiarity with vector search, embeddings, or vector databases is a plus.
• Experience with AWS AI/ML and application services is preferred; exposure to Amazon Bedrock is particularly valuable.
• Strong understanding of the Software Development Life Cycle (SDLC) and modern software development practices.
• Experience with unit testing, debugging, troubleshooting, and resolving application defects.
• Familiarity with Git, CI/CD pipelines, and automated software delivery practices.
• Understanding of secure development practices, particularly when working with enterprise data and AI applications.
• Strong analytical and problem solving skills with the ability to turn business use cases into working technical solutions.
• Experience working in financial services, mortgage, bank environments.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.