Applied AI Engineer

Responsibilities:

• Design and deploy advanced multi-agent pipelines for credit analysis.
• Optimize inference and prompt chains using frameworks like DSPy, GEPA, and LangChain.
• Implement reasoning techniques (CoT, ToT, GoT) 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 DevOps 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 (LoRA/QLoRA).
• Familiarity ...