Overview
On Site
50 - 60
Full Time
No Travel Required
Unable to Provide Sponsorship
Skills
AL/MI
TensorFlow
PyTorch
LangChain
Job Details
Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• 8+ years of experience in software architecture, with a strong focus on AI/ML and distributed systems.
• Proven experience designing and deploying AI/ML solutions in production environments.
• Deep understanding of Agentic AI concepts, multi-agent systems, and intelligent orchestration.
• Familiarity with cloud-native architectures, microservices, and event-driven systems.
______________________________ __________
Preferred Skills:
• Experience with LLMs, reinforcement learning, or autonomous agents.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain).
• Knowledge of network technologies and future trends (e.g., 5G/6G, edge computing).
• Strong communication and leadership skills with a passion for innovation.
• Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• 8+ years of experience in software architecture, with a strong focus on AI/ML and distributed systems.
• Proven experience designing and deploying AI/ML solutions in production environments.
• Deep understanding of Agentic AI concepts, multi-agent systems, and intelligent orchestration.
• Familiarity with cloud-native architectures, microservices, and event-driven systems.
______________________________
Preferred Skills:
• Experience with LLMs, reinforcement learning, or autonomous agents.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain).
• Knowledge of network technologies and future trends (e.g., 5G/6G, edge computing).
• Strong communication and leadership skills with a passion for innovation.
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.