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# GenAI Platform Lead / Senior Python AI Engineer

- **Company:** BCforward
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $148,907 - $211,453
- **Contract:** Contract
- **Skills:** HTML, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Unix, Cascading Style Sheets (CSS), Relational Databases, Hardware Design, JQuery, Python (Programming Language), Machine Learning, MongoDB, MySQL, NoSQL, Oracle (Applications), Systems Development Life Cycle, Tensorflow, Software Engineering, Unstructured Data, User-Centered Design, Extensible Markup Language (XML), Pytorch, ReactJS, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Generative AI, Fastapi, Data Analytics, Programming Languages, Microservices
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/3e13628f-775b-4f24-8db0-422d517b48dd

## About the Role

* 7+ years of hands-on Python development, including Unix scripting.
 * Experience with Large Language Models (1+ year) and Retrieval Augmented Generation (RAG).
 * Extensive experience designing and implementing multi-tier and microservices-based application platforms.
 * Proficiency with FastAPI for building services and APIs.
 * In-depth knowledge of relational databases such as Oracle or MySQL and NoSQL databases such as MongoDB, including processing large structured and unstructured datasets.
 * Knowledge of front-end languages, libraries, and frameworks, including HTML, CSS, JavaScript, XML, React, and jQuery.
 * Proven ability to plan and lead delivery for diverse, geographically dispersed teams with on-time, on-budget outcomes.
 * Strong communication, critical thinking, and problem-solving skills.

Preferred Skills:

 * Experience implementing data analytics and AI solutions.
 * Knowledge of TensorFlow or PyTorch, LLM fine-tuning, Retrieval Augmented Generation, and tools for agentic solutions.

## Description

We are seeking an GenAI Platform Lead / Senior Python AI Engineer - LLM, RAG & FastAPI to lead the end-to-end design and implementation of a new GenAI platform and its business use cases. The ideal candidate will have strong experience in Python, LLMs, and modern application architectures and a proven ability to deliver scalable, resilient platforms that meet performance and regulatory requirements. A start date within 2-4 weeks of offer will be required due to business needs., * Design, develop, and oversee end-to-end implementation of the GM GenAI platform and business use cases.

 * Develop architectural approaches for AI software and hardware integration with focus on quality, performance, resiliency, and reusability.
 * Collaborate with business and IT stakeholders to understand and fulfill objectives.
 * Lead cross-disciplinary teams to deliver solutions aligned with priorities and expectations.
 * Identify, prioritize, and execute tasks across the software development life cycle.
 * Establish standards and drive automation for end-to-end SDLC efficiency.
 * Mentor team members in technical design and development best practices.
 * Drive platform performance, scalability, and resiliency testing.
 * Implement hardware upgrades and software enhancements to meet global performance expectations.
 * Address regulatory and performance-driven requirements for regional and localized infrastructure and platform needs.
 * Conduct research and prototyping to evaluate and identify solutions that enhance platform and team capabilities.
 * Monitor AI industry trends and advancements in AI, machine learning, and data science to inform continuous improvement.