[Hiring] GenAI and Agentic AI Engineer @Arbitration Forums Inc.

Role Description

This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). The GenAI and Agentic AI Engineer is responsible for designing, developing, optimizing, and testing generative AI and agentic AI solutions to enable the production of accurate, relevant, and high-quality outputs across various business applications. The ideal candidate will have a strong background in AI, natural language processing, and RPA, and deep expertise in Large Language Models, RAG, prompt engineering, and Robotic Process Automation.

The GenAI and Agentic AI Engineer will partner with stakeholders to drive business value to Arbitration Forums and our members through GenAI and Agentic AI solutions. This role excels at the implementation of the agentic AI development process, employing AI techniques to guide and enhance solutions, developing effective AI interactions and automations through proficient programming and testing.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, Linguistics, or a related field.
• Minimum of 7 years of experience in NLP, GenAI, LLMs, RAG, data governance, data science, or a related role.
• Deep understanding of the components and development process of an Agentic AI solution.

Requirements

• Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras.
• Working knowledge of Azure AI Foundry and ML Studio.
• Working knowledge of low code solutions, as well as tool integration and multi-agent collaboration.
• Experience mapping and defining business processes and/or workflows for automation purposes.
• Cloud computing knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure.
• Deep understanding of containerization technologies like Docker and orchestration tools like Kubernetes for scaling AI solutions.
• Experience combining design patterns like Tool Use, Reflection, and Planning for robust and solid automation.
• Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs).
• Experience in Natural Language Processing (NLP) for text generation projects.
• Working knowledge of techniques for text parsing, sentiment analysis, and the use of transformers like GPT models.
• Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data.
• Proficiency in prompt engineering for generative AI models (GPT-4, DALL-E, etc.) and experience creating and integrating RAG capabilities.
• Strong understanding of natural language processing concepts and techniques.
• Understanding of Agentic AI frameworks and tools, like CrewAI and Azure AI Foundry.
• Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud).
• Experience with AI tools, such as MS Azure ML, Databricks AI, Snowflake CortexAI, Dataiku.
• Strong knowledge of data governance, data security, and compliance practices.
• Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).
• Proficiency in programming languages such as Python, R, or SQL.

Benefits

• Support model and solution observability efforts to ensure adherence to company policies and enforce governance standards.
• Other duties as assigned by manager or project needs.

Company Description

This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.