Why This Role Stands Out
You'll thrive in this hybrid role designing and deploying cutting-edge AI applications powered by Large Language Models, gaining invaluable experience with RAG and cloud technologies. If you're a mid-senior software engineer passionate about AI and looking to make a significant impact, this opportunity offers exciting career growth. Apply now to join a forward-thinking team and build innovative solutions.
Quick Overview
Job Description
RESPONSIBILITIES
Kforce has a client in New York, NY that is seeking an experienced Software Engineer with a strong background in modern AI development to design, build, and deploy intelligent applications powered by Large Language Models (LLMs). This role will focus on developing scalable AI solutions, integrating enterprise systems, and leveraging cloud technologies to deliver innovative business outcomes.
Key Responsibilities
- Design, develop, and maintain AI-powered applications using Large Language Models (LLMs)
- Build and optimize Retrieval-Augmented Generation (RAG) solutions and tool-calling architectures
- Develop integrations with enterprise APIs, data sources, and business systems
- Create scalable and secure cloud-native solutions within Azure or comparable cloud environments
- Implement AI testing, validation, monitoring, and performance optimization practices
- Collaborate with product, architecture, and business teams to translate requirements into technical solutions
- Ensure adherence to AI security, governance, and responsible AI practices
- Contribute to CI/CD pipelines and software delivery automation
- Stay current on emerging AI technologies, frameworks, and industry best practices
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience
- 5+ years of software engineering experience
- The ideal candidate has hands-on experience building production-grade AI applications using Python or Node.js/TypeScript and is passionate about emerging technologies including Retrieval-Augmented Generation (RAG), agent-based architectures, and enterprise AI platforms
- Strong proficiency in Python or Node.js/TypeScript
- Experience building and deploying LLM-powered applications
- Hands-on experience with Retrieval-Augmented Generation (RAG) architectures
- Experience implementing tool-calling and AI orchestration workflows
- Experience integrating enterprise APIs and business systems
- Experience with Azure or other major cloud platforms
- Experience developing and executing AI testing and validation strategies
- Strong understanding of software engineering best practices, including version control, testing, and code reviews
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages.
You will always have the right to cease communicating via text by using key words such as STOP.
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