API Evangelist/Cloud Developer

RESPONSIBILITIES:
Kforce's client, a reputable financial services company in the Greater NYC area, is seeking an experienced API Evangelist/Cloud Developer to join their team on a contract to hire basis.

Responsibilities include:
* Lead the design, development, and deployment of a generative AI platform, ensuring optimal integration with enterprise systems and standards
* Act as a hands-on developer and architect, creating a robust and scalable solution tailored to support AI-driven applications
* Demonstrate technical leadership and hands-on expertise in generative AI technologies and cloud architecture
* Responsible for the full stack development of the platform for AI products including custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to
preprocessing to scaled AI model compute and ensure the architecture
meets all SLA requirements
* Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform
* Ensure the deployment, and management of scalable and reliable platform and application infrastructure for AI, ML, GenAI, LLM products
* Lead the development, integration and testing of scalable APIs
* Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health
* Identify and implement optimizations to improve system efficiency
* Collaborate closely with ML teams, business and PM stakeholders in full-stack implementation efforts and ensure technical milestones align with business requirements
* Implement security measures and compliance standards of the platform and APIs to ensure adherence to industry regulations
* Mentor technical engineering talent
* Provide guidance and mentorship to junior engineers, fostering their professional growth and development

REQUIREMENTS:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* Deep understanding of platform development and deployment at the scale of large enterprises
* Strong distributed systems skills and knowledge
* Strong system architecture skills
* Relevant years of hands-on cloud platform engineering experience preferably with AI/ML development experience
* Significant hands-on development experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions (with some previous experience with front-end technologies such as React, Vue or Angular JS) and APIs at speed and scale, including integration with enterprise applications and APIs
* Experience with MLOps tools/frameworks (e.g. MLflow or similar)
* Strong knowledge and deep experience of Python, proficiency in multiple programming languages and frameworks relevant to cloud development such as Kubernetes, Serverless, and cloud PaaS offerings
* Experience and knowledge of foundational Generative AI principles such as prompt engineering, RAG, finetuning, etc.

Additional Preferred Qualifications:
* Experience with full-stack engineering development for deep learning and LLM solutions
* Experience contributing to Github and open source initiatives or in research projects

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

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.

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