Data Scientist

2 days ago


Kolkata, West Bengal, India Qiskitq Technology Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Key Responsibilities

  • Design, fine-tune, and manage prompts for diverse enterprise LLM use cases.
  • Operate, monitor, and troubleshoot agentic AI applications, diagnosing whether issues stem from:

  • Prompt structure/quality

  • Model configuration or performance
  • Tool usage, API failures, or memory/recall issues

  • Build diagnostic playbooks for LLM-driven failures, including fallback strategies, retries, and re-routing to human workflows.

  • Collaborate with AI architects, ML engineers, and DevOps teams to optimize agent orchestration across platforms such as LangGraph, CrewAI, AutoGen, etc.
  • Support integration of agentic systems with enterprise tools (Jira, ServiceNow, Glean, Confluence) via REST APIs, webhooks, and adapters.
  • Implement observability and logging best practices for model outputs, latency, and agent performance metrics.
  • Contribute to building self-healing mechanisms and alerting strategies for production AI workflows.

Required Qualifications

  • 36 years of experience in Software Engineering, DevOps, or ML Ops, with exposure to AI/LLM workflows.
  • Strong foundation in prompt engineering and experience with LLMs (GPT, Claude, LLaMA, etc.).
  • Practical understanding of AIOps platforms or operational AI use cases (incident triage, log summarization, RCA, etc.).
  • Exposure to agentic AI architectures: LangGraph, AutoGen, CrewAI, or similar.
  • Proficiency in Python scripting, RESTful APIs, and basic system debugging.
  • Strong analytical and problem-solving skills to trace issues across multi-step pipelines and asynchronous agents.

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