Job Description
Responsibilities:
Design and deploy advanced multi-agent pipelines for credit analysis.
Optimize inference and prompt chains using frameworks like DSPy, GEPA, and Lang Chain.
Implement reasoning techniques (Co T, To T, Go T) and evaluation systems (LLM-as-a-judge).
Develop ETL workflows, data pipelines, and observability dashboards.
Manage memory, retrieval, and orchestration in multi-agent systems.
Maintain cloud-based AI services and integrate with Dev Ops pipelines. Qualifications:
5+ years in Python or JS development.
Proven experience with production-grade Agentic AI or reasoning systems.
Strong background in LLM Ops, data engineering, and cloud platforms (AWS/Azure).
Expertise in prompt engineering, RAG, HITL, and multi-agent control. Nice-to-have:
Experience with RLHF/RLAIF or fine-tuning (Lo RA/QLo RA).
Familiarity with graph data models.
Design and deploy advanced multi-agent pipelines for credit analysis.
Optimize inference and prompt chains using frameworks like DSPy, GEPA, and Lang Chain.
Implement reasoning techniques (Co T, To T, Go T) and evaluation systems (LLM-as-a-judge).
Develop ETL workflows, data pipelines, and observability dashboards.
Manage memory, retrieval, and orchestration in multi-agent systems.
Maintain cloud-based AI services and integrate with Dev Ops pipelines. Qualifications:
5+ years in Python or JS development.
Proven experience with production-grade Agentic AI or reasoning systems.
Strong background in LLM Ops, data engineering, and cloud platforms (AWS/Azure).
Expertise in prompt engineering, RAG, HITL, and multi-agent control. Nice-to-have:
Experience with RLHF/RLAIF or fine-tuning (Lo RA/QLo RA).
Familiarity with graph data models.
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