Platform Engineer AI Tool Integration Remote only Miami, FL

Role: Platform Engineer AI Tool Integration
Locations: 100% Remote (Client is in FL)
Duration: 12+ Months Contract

Position Overview:
•       The Data Analytics & AI department at RCG is seeking a highly skilled
and experienced Software & Platform Engineer to join our team.
•       This pivotal role requires a strong technical background in AI
tooling, data platform architecture, cloud computing, and big data
technologies.
•       The successful candidate will be responsible for all tooling and
integration with GenAI LLM, maintaining our Azure platform with OpenAI,
and leveraging Databricks Mosaic AI.
•       This role will be instrumental in driving innovation, ensuring
seamless integration, and optimizing our AI and data platforms to meet
the evolving needs of the business.

Key Responsibilities:
•       Design, develop, and maintain tooling and integration for GenAI LLM
and other AI models.
•       Manage and optimize our Azure platform, ensuring seamless integration
with OpenAI and Databricks Mosaic AI.
•       Collaborate with cross-functional teams to identify and implement
innovative AI solutions to enhance our platform capabilities.
•       Stay up to date with the latest advancements in AI and machine
learning technologies to drive continuous improvement and innovation.
•       Develop and implement best practices for AI model deployment &
scaling.
•       Design and execute integration strategies for incorporating large
language models (LLMs) and CoPilot technologies with existing business
platforms.
•       Assess and recommend suitable LLM and CoPilot technologies that align
with business needs and technical requirements.
•       Conduct feasibility studies and proof-of-concepts to validate the
integration of new tools and technologies.
•       Keep abreast of the latest advancements in LLM, CoPilot, and related
technologies to identify opportunities for further innovation and
improvement.
•       Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced
productivity and collaboration within the development team.
•       Integrate MS CoPilot tools into existing workflows and ensure seamless
integration with other systems and applications used by the team.
•       Work closely with product managers, data scientists, and other
stakeholders to gather requirements and ensure successful integration of
LLM and CoPilot technologies.

Requirements:
•       Bachelor’s or Master’s degree in computer science, Engineering, or a
related field.
•       Proven experience in software/system/platform engineering, with a
focus on AI tooling and integration.
•       Strong expertise in working with Azure, including managing, and
integrating AI services such as OpenAI and Databricks Mosaic AI.
•       Proficiency in programming languages such as Python, Java, or C++.
•       Experience with machine learning frameworks and libraries (e.g.,
TensorFlow, PyTorch).
•       Solid understanding of software development methodologies, including
Agile and DevOps practices and tools for continuous integration and
deployment.
•       Understanding of data security best practices and compliance
requirements in software development and integration
•       Excellent problem-solving skills and the ability to work in a
fast-paced, dynamic environment.
•       Strong communication and collaboration skills.

Preferred Qualification:
•       Strong proficiency in one or more programming languages such as
Python, Java, C#, or JavaScript.
•       Experience with large language models (LLMs) and familiarity with
tools like OpenAI GPT, Google BERT, or similar.
•       Hands-on experience with Databricks for data engineering, data
science, or machine learning workflows.
•       Proficiency in using Databricks for building and managing data
pipelines, ETL processes, and real-time data processing.
•       Experience with machine learning frameworks and libraries (e.g.,
TensorFlow, PyTorch).
•       Hands-on experience with Microsoft CoPilot and CoPilot Studio.
•       Proficiency in working with APIs, microservices architecture, and web
services (REST/SOAP).
•       Familiarity with cloud platforms such as AWS, Azure, or Google Cloud,
and their integration services.
•       Knowledge of database systems, both SQL and NoSQL (e.g., MySQL,
MongoDB).
•       Knowledge of natural language processing (NLP) and large language
models (LLMs).