Interas Labs.LLC
Senior AI Developer
Interas Labs.LLC, New York, New York, us, 10261
Role: Senior AI Developer
Work Location: 3 Bryant Park, NYC
Duration: Long Term Contract
Onsite: 3 days a week.
About the Role:
We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and optimize intelligent, agent-based systems and workflows. The ideal candidate will be responsible for creating scalable AI solutions that automate and enhance complex processes, leveraging cutting-edge technologies in reinforcement learning, autonomous agents, and multi-agent systems. This role requires a deep understanding of AI architecture and a passion for pushing the boundaries of artificial intelligence.
Key Responsibilities:
Develop Agent-Based Models: Design and implement AI-driven, agent-based models that can operate autonomously in dynamic and complex environments.
Create Intelligent Workflows: Engineer workflows utilizing agents that collaborate, learn, and make decisions based on defined rules and machine learning algorithms.
Optimize Multi-Agent Systems: Enhance the performance of multi-agent systems through tuning, parallelization, and robust validation.
Collaboration and Integration: Work with cross-functional teams to integrate agent-based systems with existing platforms and pipelines, ensuring seamless functionality.
Research and Development: Stay current with the latest advancements in AI and agent-based modeling, and apply relevant insights to improve workflow automation.
Performance Monitoring: Develop and implement monitoring tools to evaluate the performance of agents in real-time, ensuring high accuracy and reliability.
Documentation and Reporting: Document methodologies, code, and system designs, and present findings and progress to stakeholders.
Required Qualifications:
Experience: 5+ years of experience in AI/ML development, with at least 2 years focused on agent-based modeling or multi-agent systems.
Technical Skills:
Strong proficiency in Python, Java, or C++ for AI development.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Expertise in reinforcement learning, decision-making algorithms, and distributed systems.
Knowledge of simulation platforms for agent-based modeling (e.g., AnyLogic, GAMA, NetLogo).
Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI models and workflows.
Job Type:
Full-time
Pay:
$80.00 - $85.00 per hour
Expected hours:
40 per week
Benefits:
401(k)
Dental insurance
Health insurance
Schedule:
Day shift
Experience:
Multi Agent System: 4 years (Required)
AI/ML: 10 years (Required)
Ability to Commute:
New York, NY 10036 (Required)
Ability to Relocate:
New York, NY 10036: Relocate before starting work (Required)
Work Location:
In person
#J-18808-Ljbffr
Work Location: 3 Bryant Park, NYC
Duration: Long Term Contract
Onsite: 3 days a week.
About the Role:
We are seeking a highly skilled and experienced Senior AI Engineer to design, develop, and optimize intelligent, agent-based systems and workflows. The ideal candidate will be responsible for creating scalable AI solutions that automate and enhance complex processes, leveraging cutting-edge technologies in reinforcement learning, autonomous agents, and multi-agent systems. This role requires a deep understanding of AI architecture and a passion for pushing the boundaries of artificial intelligence.
Key Responsibilities:
Develop Agent-Based Models: Design and implement AI-driven, agent-based models that can operate autonomously in dynamic and complex environments.
Create Intelligent Workflows: Engineer workflows utilizing agents that collaborate, learn, and make decisions based on defined rules and machine learning algorithms.
Optimize Multi-Agent Systems: Enhance the performance of multi-agent systems through tuning, parallelization, and robust validation.
Collaboration and Integration: Work with cross-functional teams to integrate agent-based systems with existing platforms and pipelines, ensuring seamless functionality.
Research and Development: Stay current with the latest advancements in AI and agent-based modeling, and apply relevant insights to improve workflow automation.
Performance Monitoring: Develop and implement monitoring tools to evaluate the performance of agents in real-time, ensuring high accuracy and reliability.
Documentation and Reporting: Document methodologies, code, and system designs, and present findings and progress to stakeholders.
Required Qualifications:
Experience: 5+ years of experience in AI/ML development, with at least 2 years focused on agent-based modeling or multi-agent systems.
Technical Skills:
Strong proficiency in Python, Java, or C++ for AI development.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Expertise in reinforcement learning, decision-making algorithms, and distributed systems.
Knowledge of simulation platforms for agent-based modeling (e.g., AnyLogic, GAMA, NetLogo).
Familiarity with cloud platforms (AWS, Azure, GCP) for deploying AI models and workflows.
Job Type:
Full-time
Pay:
$80.00 - $85.00 per hour
Expected hours:
40 per week
Benefits:
401(k)
Dental insurance
Health insurance
Schedule:
Day shift
Experience:
Multi Agent System: 4 years (Required)
AI/ML: 10 years (Required)
Ability to Commute:
New York, NY 10036 (Required)
Ability to Relocate:
New York, NY 10036: Relocate before starting work (Required)
Work Location:
In person
#J-18808-Ljbffr