Agentic AI Developer

Ampcus Inc.New York, NY
Onsite

About The Position

Ampcus Inc. is seeking a skilled Agentic AI Developer/Engineer to join their team. The ideal candidate will have experience in developing AI systems that exhibit autonomous behaviour and decision-making capabilities. This role involves designing, implementing, and optimising AI models that can operate independently and adapt to dynamic environments. The assignment is for 6 months with the possibility of extension or conversion to a full-time employee.

Requirements

  • 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.

Nice To Haves

  • 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.
  • Agent Evaluation, Security, Performance, Governance Policies, Explainability, Audit, debugging, Monitoring, Observability.

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.
  • Implement machine learning algorithms and frameworks to enhance agentic behaviour.
  • Optimise AI models for performance, scalability, and reliability.
  • 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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