Job Description
- 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.
Job Responsibilities
- Design, develop, and refine prompts for LLMs to ensure high-quality outputs
for specific use cases. - Employ techniques to guide and enhance model responses, ensuring that
the AI interactions are effective and efficient. - Develop effective AI interactions through proficient programming and
utilization of playgrounds, including the implementation and manipulation of
complex algorithms fundamental to developing generative AI models. - Articulate, design, develop, and implement Agentic AI solutions, following an
established development process that is inclusive of the agentic solution
lifecycle. - Collaborate with cross-functional teams to ensure that the solutions are
aligned with the business requirements and objectives. - Conduct A/B testing of prompt variants and automation solutions, analyzing
model behaviors and agentic paths, including deviations and degradations. - Stay up to date with advancements in LLM and RAG capabilities, prompt
engineering, and Agentic AI best practices. - Collaborate with product managers, data scientists, ML engineers, and
business stakeholders to integrate GenAI and AI solutions into business
processes, products, or workflows. - Create documentation and reusable libraries for internal and external use.
- Partner with the MLOps Engineer and other stakeholders to establish and
implement observability and monitoring frameworks to adequately and
timely identify degradations and potential ethical/bias issues. - Establish, embed, and implement explainability frameworks in AI solutions,
through Model Context Protocols and SHAP. - Provide recommendations for improvement in the areas of AI acceptable use
and ethics, collaborating with Legal and Compliance to ensure adherence. - Ensure data quality and integrity as they apply to GenAI, Agentic AI, and NLP.
- Ensure that data security protocols are followed in the definition and implementation of GenAI and Agentic AI solutions in accordance with regulatory requirements and company policies.
- Develop safety filters and guide the ethical use of prompts and automation paths to prevent biased or harmful responses.
Numbers & Facts
| Location | (Remote) |
| Job Type | Full-time |
| Salary | $120,000–$170,000 Per Year |
| Additional Compensation | Bonus |
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. - 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 and 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). Ability to design, train, and optimize these models
to generate high-quality, creative content. - 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 (generative pre-trained transformer) models. - Data management knowledge, including data pre-processing, augmentation, and
generation of synthetic data, including the cleaning, labeling, and augmenting of
data to train and improve AI models. - Proficiency 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.
- Proficiency in programming languages such as Python and familiarity with AI
frameworks (e.g., TensorFlow, PyTorch). - 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
Paid Time-Off, Performance Bonus, Life Insurance, 401K Match, Employee Events, Paid Sick Days, Work From Home, 401K, Medical, Dental, Vision
About Company
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).
Skills
- Python Programming/Scripting Language
- Artificial Intelligence (AI)
- TENSORFLOW
- PyTorch
- Microsoft Windows Azure
- SQL (Structured Query Language)
Skills
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Modeling Languagesunmatched
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