Sr. AI Software Engineer
Date: Jun 20, 2025
Location: Greenville, SC, US, 29601
Company: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
- Competitive Wages
- Health/Life Benefits
- Health Savings Account plus Employer Seed
- 401(k) Savings Plan with Company Match
- Paid Parental Leave
- Company Paid Holidays
- Paid Time Off including Volunteer Time
- Tuition Reimbursement
- Business Casual Environment
- Rewards & Recognition Program
- Employee Assistance Program
- Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks
To learn more about Purpose Financial visit Purpose Financial Website.
Position Summary
We are seeking talented and motivated AI Software Engineers to join our new AI Engineering team. As part of this innovative team, you will help build and enhance our AI infrastructure and capabilities on AWS Bedrock, expanding our existing SecureGPT platform. You will develop agentic workflow capabilities, integrate external AI services, and create AI orchestration systems to bring intelligence to our products. This role requires a passion for AI technologies, strong problem-solving skills, and a collaborative mindset to work effectively with cross-functional teams.
Job Responsibility
- Design and develop AI infrastructure components and services on AWS Bedrock
- Implement agentic workflow capabilities and integrate external AI services via Model Context Protocol
- Build and enhance AI workflow and orchestration systems for our product offerings
- Contribute to the expansion of our SecureGPT platform built on AWS Lambda, S3, and Knowledgebases
- Create and maintain test automation frameworks for AI systems to ensure reliability and performance
- Develop tooling and productivity improvements leveraging AI capabilities
- Collaborate with Data Science teams to integrate ML models into production systems
- Work with product management and TPMs to understand requirements and deliver solutions
- Participate in code reviews, technical discussions, and architectural decisions
- Stay current with emerging AI technologies and methodologies
- Document technical designs, APIs, and implementation details
- Troubleshoot and resolve complex technical issues in AI systems
- Implement best practices for AI development, testing, and deployment
Job Responsibilities Cont.
Education Required
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Experience Required
- 3+ years of experience in software development with at least 1+ years focused on AI/ML technologies
- Experience with large language models (LLMs) and generative AI platforms
- Experience building and deploying solutions on AWS, particularly with serverless architectures (Lambda, S3)
- Knowledge of AI orchestration, workflow management, and integration patterns - Experience with test automation for AI systems and components
- Familiarity with Model Context Protocol or similar AI integration frameworks
- Strong programming skills in Python, JavaScript, or other relevant languages
- Experience with CI/CD pipelines and DevOps practices
- Familiarity with prompt engineering and RAG (Retrieval Augmented Generation)
- Experience with vector databases and embedding models is a plus
- Understanding of data science principles and machine learning concepts
Knowledge Required
- Strong problem-solving skills and attention to detail
- Ability to work in a collaborative team environment
- Good written and verbal communication skills
- Self-motivated with the ability to work independently
- Adaptability and willingness to learn new technologies
- Understanding of software development best practices
- Knowledge of test-driven development and automated testing frameworks
- Basic understanding of data science methodologies and tools
- Comfortable working in a dynamic, fast-paced environment
- Ability to translate business requirements into technical solutions
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
Travel
0-5%
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 45217
Nearest Major Market: Greenville
Nearest Secondary Market: South Carolina