Qureos Mentor

Optimal Inc.

<div>Position Description: 
Workers Compensation Claims Handler at the Plant with a focus on excellent customer service, quality claims handling, and loss cost management.
Skills Required: 
Administrative Assistant
Experience Required: 
1-3 years of related New York Workers Compensation experience
Experience Preferred: 
Ability to interpret and analyze complex information. Excellent verbal, written and interpersonal communication skills. Work collaboratively and effectively in a team environment. Organize and prioritize workload and manage multiple priorities. Ability to work a flexible work schedule. Maintain professional client relationships
Education Required: 
High School Diploma / GED
Education Preferred: 
Bachelor's Degree
Additional Information: 
Position is fully onsite.<ul><li>
Set up and enter new claims into the claim management system, ensuring claim coding is correct and files are properly documented.</li><li>
Perform critical claim technical tasks, including plant investigations and 3-point contacts.</li><li>
Interview claimants, employers, medical professionals, legal counsel, and witnesses, and prepare thorough investigation summaries.</li><li>
Prepare files for outside counsel.</li><li>
Assist in the management of all elements of claim files to reduce or maintain medical costs, lost time duration, and litigation expenses.</li><li>
Participate in case management meetings and collaborate with medical, human resources, and labor to facilitate a return-to-work plan for workers' compensation and related absences.</li><li>
Supports other claim representatives with larger or more complex claims as necessary.</li><li>
Process medical and related expense payments.</li></ul></div>

Workers Compensation Plant Rep

<div>Job Title: Agentic AI Developer
We are seeking a highly skilled Agentic AI Developer to support advanced R&amp;D initiatives focused on next-generation AI agents and conversational intelligence systems. This role centers on designing, building, and optimizing intelligent agent architectures powered by large language models (LLMs) and advanced reasoning frameworks.
The ideal candidate brings a strong blend of machine learning expertise, systems thinking, and hands-on experience with agent-based architectures, and thrives in a fast-paced, research-driven environment.
Key Responsibilities<ul><li>
Design and develop agentic AI systems using GPT-style and other large language model architectures</li><li>
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory</li><li>
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving</li><li>
Build scalable context management frameworks to support dynamic, multi-turn conversations</li><li>
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation</li><li>
Collaborate with cross-functional R&amp;D teams to integrate agent-based solutions into innovative products and research initiatives</li><li>
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities</li><li>
Document system designs, experiments, and technical findings</li></ul>
Required Qualifications<ul><li>
3-5 years of industry experience in AI/ML, LLM development, or agent-based systems</li><li>
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)</li><li>
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures</li><li>
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques</li><li>
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)</li><li>
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus</li><li>
Strong problem-solving skills and ability to work in research-oriented, collaborative environments</li></ul>
Qualifications<ul><li>
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>
Experience contributing to research publications, open-source projects, or experimental AI platforms</li></ul></div>

Agentic AI Developer

Join Optimal Inc. and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Optimal Inc.

About Company

Workers Compensation Plant Rep

Agentic AI Developer