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# GenAI Platform Developer

- **Company:** Genesis10
- **Location:** New York, NY, United States
- **Salary:** $121,181.0 - $137,821.0
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Unix, Cascading Style Sheets (CSS), Computer Programming, Relational Databases, Hardware Design, JQuery, Python (Programming Language), Machine Learning, MongoDB, MySQL, NoSQL, Oracle (Applications), Systems Development Life Cycle, Tensorflow, Software Engineering, Extensible Markup Language (XML), Pytorch, ReactJS, Transfer Learning, Large Language Models, Generative AI, Fastapi, Data Analytics, Programming Languages, Microservices
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/f4ad2882-c90f-4102-973f-3b4d445d0bcc

## About the Role

* 7+ years of experience with high coding proficiency in Python and Unix scripting
 * 1+ years of experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG)
 * Extensive experience in designing & implementing multi-tier (including microservices) application platforms
 * Proven ability to plan and lead delivery by a functionally diverse and geographically dispersed team
 * In-depth knowledge of relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB)
 * Knowledge in front-end languages, libraries & frameworks (e.g., HTML/CSS, JavaScript, XML, React, jQuery)
 * Strong communication skills to effectively collaborate with various stakeholders
 * Critical thinking and problem-solving skills

Desired skills:

 * Experience implementing data analytics / AI solutions
 * Knowledge of machine learning frameworks like TensorFlow or PyTorch, LLM fine-tuning, and tools for agentic solutions
 * Experience with FastAPI

Pay range: $58.26 - $66.26 per hour

## Description

* Design, develop, and oversee end-to-end implementation of the new GenAI platform and its related business use cases
 * Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability
 * Collaborate with business and IT stakeholders to understand and fulfill business needs and objectives
 * Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations
 * Identify, prioritize and execute tasks in the software development life cycle
 * Establish standards and lead automation for end-to-end SDLC efficiency
 * Mentor team members in technical design and development best practices
 * Drive platform performance, scalability & resiliency testing
 * Implement hardware upgrades & software enhancements to meet global performance expectations
 * Address regulatory & performance-driven requirements for regional/localization of infrastructure & platform
 * Conduct research & prototyping to evaluate and identify new solutions to enhance platform and team capabilities
 * Monitor AI industry trends and stay abreast of advancements in AI, machine learning, and data science