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 :

- 810 years in Python, ML/AI, and conversational AI.

- 3+ years in GenAI (LLMs, RAG, agentic AI) with at least one production deployment.

- Bachelors/Masters in Computer Science, AI/ML, Data Science, or related fields.

- BFSI/insurance workflow experience preferred; customer-facing AI exposure is a plus.