Applied AI Engineer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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 with graph data models.

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