Job Description (FullTime - Direct Applicants Only)
Skill: Agentic AI Developer
Must Have Technical/Functional Skills:
- The Agentic AI Developer will design build and operationalize governed AI agent systems that autonomously plan reason and execute complex workflows across enterprise data and risk platforms.
- This role focuses on developing multi agent event driven AI solutions using Python LangChain LangGraph and Azure AI Foundry with strong emphasis on explainability human in the loop control and regulatory readiness.
Primary Skills:
- Python LangChain LangGraph Azure AI Foundry.
Roles & Responsibilities:
- Agentic System Design: Architect build and optimize AI agents using multi-agent frameworks (e.g. LangGraph AutoGen CrewAI).
- Reasoning & Planning: Implement advanced prompting strategies such as chain-of-thought reflection and self-correction loops to enhance agent decision-making.
- Tool Integration: Connect AI agents to APIs databases and third-party SaaS platforms to enable autonomous action-taking.
- Memory & Context: Design short-term and long-term memory systems (RAG vector databases) so agents can maintain state and context over long-running workflows.
- Production Deployment: Transition prototypes from research to production-ready systems ensuring low latency high accuracy and observability (e.g. using Amazon CloudWatch LangSmith).
- Safety & Governance: Implement AI guardrails human-in-the-loop approval steps and audit trails to ensure ethical and secure operation.
Job Description (FullTime - Direct Applicants Only) Skill: Agentic AI Developer Must Have Technical/Functional Skills: The Agentic AI Developer will design build and operationalize governed AI agent systems that autonomously plan reason and execute complex workflows across enterprise data and risk ...
Job Description (FullTime - Direct Applicants Only)
Skill: Agentic AI Developer
Must Have Technical/Functional Skills:
- The Agentic AI Developer will design build and operationalize governed AI agent systems that autonomously plan reason and execute complex workflows across enterprise data and risk platforms.
- This role focuses on developing multi agent event driven AI solutions using Python LangChain LangGraph and Azure AI Foundry with strong emphasis on explainability human in the loop control and regulatory readiness.
Primary Skills:
- Python LangChain LangGraph Azure AI Foundry.
Roles & Responsibilities:
- Agentic System Design: Architect build and optimize AI agents using multi-agent frameworks (e.g. LangGraph AutoGen CrewAI).
- Reasoning & Planning: Implement advanced prompting strategies such as chain-of-thought reflection and self-correction loops to enhance agent decision-making.
- Tool Integration: Connect AI agents to APIs databases and third-party SaaS platforms to enable autonomous action-taking.
- Memory & Context: Design short-term and long-term memory systems (RAG vector databases) so agents can maintain state and context over long-running workflows.
- Production Deployment: Transition prototypes from research to production-ready systems ensuring low latency high accuracy and observability (e.g. using Amazon CloudWatch LangSmith).
- Safety & Governance: Implement AI guardrails human-in-the-loop approval steps and audit trails to ensure ethical and secure operation.
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