Applied AI Engineer
Strategic Talent PartnerKurnool, IN16 hours ago
Job description5+ 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. Experience with RLHF / RLAIF or fine-tuning (LoRA / QLoRA). Familiarity with graph data models.
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 :
Nice-to-have :
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Applied Ai Engineer • Kurnool, IN
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