Job Title: Context Engineer (Model Risk Focus)
Location: NYC NY
Duration: 6 months
Job Summary:
Context Engineer (Model Risk Focus)
Role Overview
We are seeking a Context Engineer focused on optimizing LLM and Agentic AI behavior through advanced context prompt and knowledge design techniques. This role supports model lifecycle and risk governance through domain aware context engineering.
Key Responsibilities
- Design and optimize prompting and contextual structures to shape model behavior.
- Encode escalation rules risk boundaries and guardrails directly into agent context.
- Leverage domain expertise in Model Risk Management and model lifecycle workflows.
- Work with vector databases and embedding techniques to enable retrieval augmented context.
- Partner with AI engineers and architects to integrate context layers into agentic systems.
Required Skills
- Domain knowledge in Model Risk Management.
- Experience with prompt/context design and AI behavior optimization.
- Hands on experience with vector databases and retrieval frameworks.
Job Title: Context Engineer (Model Risk Focus) Location: NYC NY Duration: 6 months Job Summary: Context Engineer (Model Risk Focus) Role Overview We are seeking a Context Engineer focused on optimizing LLM and Agentic AI behavior through advanced context prompt and knowledge design techniques. Th...
Job Title: Context Engineer (Model Risk Focus)
Location: NYC NY
Duration: 6 months
Job Summary:
Context Engineer (Model Risk Focus)
Role Overview
We are seeking a Context Engineer focused on optimizing LLM and Agentic AI behavior through advanced context prompt and knowledge design techniques. This role supports model lifecycle and risk governance through domain aware context engineering.
Key Responsibilities
- Design and optimize prompting and contextual structures to shape model behavior.
- Encode escalation rules risk boundaries and guardrails directly into agent context.
- Leverage domain expertise in Model Risk Management and model lifecycle workflows.
- Work with vector databases and embedding techniques to enable retrieval augmented context.
- Partner with AI engineers and architects to integrate context layers into agentic systems.
Required Skills
- Domain knowledge in Model Risk Management.
- Experience with prompt/context design and AI behavior optimization.
- Hands on experience with vector databases and retrieval frameworks.
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