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Prompt Engineer GenAI Specialist

Prompt Engineer GenAI Specialist

ConfidentialBengaluru / Bangalore, India
11 days ago
Job description

Location – Bengaluru, Karnataka, Work Mode – Work from Office (Full-time)

We are seeking a highly skilled Prompt Engineer – GenAI Specialist to design, optimize, and deploy advanced Generative AI solutions . The role demands expertise in LLMs, RAG architectures, and agentic AI frameworks , with hands-on experience taking GenAI models into production. The ideal candidate will combine strong technical depth, creativity, and business understanding to deliver impactful enterprise AI applications, especially in BFSI / insurance domains.

Key Responsibilities

  • Design, refine, and optimize prompts for LLMs across multiple use cases.
  • Apply advanced techniques such as few-shot prompting, chain-of-thought reasoning, and contextual RAG.
  • Develop and deploy agentic AI solutions using LangChain, Hugging Face, and OpenAI.
  • Fine-tune LLMs, integrate APIs / vector stores, and implement secure, inclusive prompting guardrails.
  • Partner with product, data science, and engineering teams to deliver scalable AI solutions.
  • Monitor performance KPIs (accuracy, engagement, cost, CSAT) and maintain reusable prompt libraries.
  • Stay updated on the latest GenAI / NLP research and integrate best practices.

Key Skills

  • Proficiency in Python, ML / AI, APIs, and cloud deployments.
  • Expertise in prompt engineering, GenAI, LLMs, RAG pipelines, and agentic AI.
  • Hands-on experience with LangChain, Hugging Face, OpenAI toolkits.
  • Strong analytical and problem-solving mindset with inclusive / ethical AI focus.
  • Qualifications & Experience

  • 8–10 years in Python, ML / AI, and conversational AI.
  • 3+ years in GenAI (LLMs, RAG, agentic AI) with at least one production deployment.
  • Bachelor's / Master's in Computer Science, AI / ML, Data Science, or related fields.
  • BFSI / insurance workflow experience preferred; customer-facing AI exposure is a plus.
  • Skills Required

    Ml, Apis, Ai, Python

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