Job Description

Platform Engineer - AI Tool & Integration

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).

• Previous experience in a similar role within a technology-driven organization.

• Certifications in Azure, AI, or related areas.

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