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# Agentic AI Developer

- **Company:** Ampcus Inc
- **Location:** New York, NY, United States
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Computer Programming, Software Debugging, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Reinforcement Learning, Pytorch, Multi-Agent Systems, Information Technology, Machine Learning Operations, Virtual Agents
- **Published:** August 29, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88177699/1

## About the Role

* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
 * Proven experience in AI development, with a focus on agentic systems.
 * Strong programming skills in languages such as Python, Java, or C.
 * Experience with machine learning frameworks like TensorFlow, PyTorch, or similar.
 * Knowledge of reinforcement learning and autonomous systems.
 * Ability to work independently and collaboratively in a team environment.
 * Excellent problem-solving skills and attention to detail.
 * Familiarity with natural language processing and computer vision.
 * Understanding of ethical considerations in AI development.

## Description

We are seeking a skilled Agentic AI Developer/Engineer to join our team. The ideal candidate will have experience in developing AI systems that exhibit autonomous behaviour and decision-making capabilities. You will be responsible for designing, implementing, and optimising AI models that can operate independently and adapt to dynamic environments.
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.
 * Experienced in Agentic AI, RAG, MCP, Tools, Memory, etc.
 * Conduct research and stay updated on the latest advancements in agentic AI technologies.
 * Frameworks: LangGraph, AutoGen, ADK or CrewAI, Languages: Python or Java, Protocols: A2A, MCP.
 * Models: AWS Bedrock, Azure OpenAI, Claude, etc.
 * Governance, debugging, monitoring, evaluation, etc. AgentOps.
 * Implement machine learning algorithms and frameworks to enhance agentic behaviour.
 * Optimise AI models for performance, scalability, and reliability.
 * Agent Evaluation, Security, Performance, Governance Policies, Explainability, Audit, debugging, Monitoring, Observability.
 * Test and validate AI systems to ensure they meet quality standards and business requirements.
 * Document AI development processes and provide technical support as needed.


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