Prompt Engineer - Generative AI

<p><p><b>About the job : </b><br/><br/>Location Bengaluru, Karnataka, Work Mode Work from Office (Full-time)<br/><br/>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.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, refine, and optimize prompts for LLMs across multiple use cases.<br/><br/>- Apply advanced techniques such as few-shot prompting, chain-of-thought reasoning, and contextual RAG.<br/><br/>- Develop and deploy agentic AI solutions using LangChain, Hugging Face, and OpenAI.<br/><br/>- Fine-tune LLMs, integrate APIs/vector stores, and implement secure, inclusive prompting guardrails.<br/><br/>- Partner with product, data science, and engineering teams to deliver scalable AI solutions.<br/><br/>- Monitor performance KPIs (accuracy, engagement, cost, CSAT) and maintain reusable prompt libraries.<br/><br/>- Stay updated on the latest GenAI/NLP research and integrate best practices.<br/><br/><b>Key Skills : </b><br/><br/>- Proficiency in Python, ML/AI, APIs, and cloud deployments.<br/><br/>- Expertise in prompt engineering, GenAI, LLMs, RAG pipelines, and agentic AI.<br/><br/>- Hands-on experience with LangChain, Hugging Face, OpenAI toolkits.<br/><br/>- Strong analytical and problem-solving mindset with inclusive/ethical AI focus.<br/><br/><b>Qualifications & Experience : </b><br/><br/>- 8 to 10 years in Python, ML/AI, and conversational AI.<br/><br/>- 3+ years in GenAI (LLMs, RAG, agentic AI) with at least one production deployment.<br/><br/>- Bachelors/Masters in Computer Science, AI/ML, Data Science, or related fields.<br/><br/>- BFSI/insurance workflow experience preferred; customer-facing AI exposure is a plus.</p><br/></p> (ref:hirist.tech)