Autonomous AI Engineer — Agentic Systems & MLOps

Ampcus, Inc; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Ampcus Inc. is seeking an Agentic AI Developer/Engineer to join our team in NY/NJ area for a 6-month assignment. You will design autonomous AI systems capable of decision-making and independent operation, and integrate them into existing environments.

The role requires expertise in agentic AI, RAG, MCP, and tools, with Python/Java, and ML frameworks such as TensorFlow or PyTorch. Hybrid collaboration and ongoing research are expected.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field.
• Proven experience in AI development with agentic systems.
• Strong programming skills in Python, Java, or C.
• Experience with ML frameworks like TensorFlow, PyTorch, or similar.
• Knowledge of reinforcement learning and autonomous systems.
• Ability to work independently and in a team.
• Familiarity with NLP and computer vision.
• Understanding of ethical AI development.

Responsibilities

• Design and develop AI models with agentic capabilities, focusing on autonomy and decision-making.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Deep understanding of models and experience in model development and MLOps.
• Work with Agentic AI, RAG, MCP, Tools, Memory, etc.
• Conduct research and stay updated on agentic AI technologies.
• Test and validate AI systems to meet quality and business requirements.
• Document AI development processes and provide technical support as needed.

Skills

Agentic AI development

Python

Java

C

TensorFlow

PyTorch

Reinforcement learning

NLP

Computer vision

Ethical AI

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field

Tools

LangGraph

AutoGen

ADK

CrewAI

MLOps

Job description

Ampcus Inc. is seeking an Agentic AI Developer/Engineer to join our team in NY/NJ area for a 6-month assignment. You will design autonomous AI systems capable of decision-making and independent operation, and integrate them into existing environments.

The role requires expertise in agentic AI, RAG, MCP, and tools, with Python/Java, and ML frameworks such as TensorFlow or PyTorch. Hybrid collaboration and ongoing research are expected.