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Agentic AI Engineer

Warren, MI, US • Posted 20 hours ago • Updated 7 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Management
Extraction
Workflow
Collaboration
Research and Development
Large Language Models (LLMs)
Prompt Engineering
Evaluation
Reasoning
Optimization
Python
PyTorch
TensorFlow
Vector Databases
Conflict Resolution
Problem Solving
Computer Science
Machine Learning (ML)
Research
Publications
Open Source
Artificial Intelligence

Summary

Job Title: Agentic AI Engineer

We are seeking a highly skilled Agentic AI Engineer to support advanced R&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

Design and develop agentic AI systems using GPT-style and other large language model architectures
Architect and optimize agent memory systems, including short-term, long-term, and retrieval-based memory
Implement multi-step reasoning, planning, and chain-of-thought pipelines for complex problem solving
Build scalable context management frameworks to support dynamic, multi-turn conversations
Develop text-to-structured-data pipelines for automated knowledge extraction and workflow automation
Collaborate with cross-functional R&D teams to integrate agent-based solutions into innovative products and research initiatives
Evaluate model performance and continuously improve accuracy, efficiency, and reasoning capabilities
Document system designs, experiments, and technical findings

Required Qualifications

3-5 years of industry experience in AI/ML, LLM development, or agent-based systems
Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation)
Experience building or working with agent frameworks, memory systems, or planning/reasoning architectures
Solid understanding of context handling, retrieval-augmented generation (RAG), and optimization techniques
Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow)
Experience with tools and ecosystems such as vector databases, APIs, and distributed systems is a plus
Strong problem-solving skills and ability to work in research-oriented, collaborative environments

Qualifications

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience contributing to research publications, open-source projects, or experimental AI platforms

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10382565
Position Id: 433617dea32773fc2bb2eea566daa062
Posted 20 hours ago

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