Generative AI Developer

System One · Lafayette, LA · 3 wk ago

Information TechnologyContract

Duration: Full Time / Permanent Position. Location: Lafayette, LA; Knoxville, TN; Columbia, SC; Birmingham, AL. Work Mode: Hybrid (3 Days Onsite – 2 Days Remote).

About the role

Systemonee is seeking an experienced Generative AI Developer to develop and enhance AI powered applications within a large scale financial services environment. This is a hands on development role focused on building Generative AI capabilities using Python and modern cloud technologies, with a strong emphasis on AWS.

Responsibilities

Work with business and technology teams to translate requirements and use cases into reliable, production ready AI solutions.
Develop Python based applications and services.
Integrate Large Language Models (LLMs) and Generative AI capabilities into enterprise applications.
Test application functionality, troubleshoot issues, and support solutions throughout the Software Development Life Cycle (SDLC).
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, banking.

Desired Skillset

Relevant AWS, cloud, AI, or machine learning certifications are preferred but not required.

Education