Prompt Engineer

Job DescriptionMust Have Technical/Functional SkillsWe are looking for experienced Prompt Engineers with strong hands-on expertise in Large Language Models (LLMs) to design, optimize, and operationalize high quality prompts for enterprise-grade GenAI solutions. The role demands deep understanding of model behavior, prompt patterns, and real world deployment in regulated environments. 4–7+ years overall experience, with 2–3+ years hands-on Prompt Engineering / GenAI work Strong experience with LLMs (GPT 4 / GPT 4o / Gemini / Claude / LLaMA or equivalent) Hands-on knowledge of RAG frameworks, embeddings, vector databases, and semantic search Experience with Azure OpenAI / OpenAI APIs / Google Vertex AI / Hugging Face Strong NLP fundamentals and ability to interpret LLM behavior Programming experience in Python (FastAPI / Flask exposure preferred) Experience using LangChain / LlamaIndex or similar orchestration frameworks Strong analytical skills to evaluate and improve model output qualityRoles & Responsibilities Design, test, and optimize advanced prompts (zero-shot, few-shot, chain-of-thought, tool calling, RAG-based prompts) for LLM-driven applications Analyze model outputs and continuously refine prompts to ensure accuracy, consistency, and business relevance Collaborate with Data Scientists, ML Engineers, and Product teams to integrate prompts into end to end AI workflows Support RAG architectures by crafting effective prompts leveraging vector search, embeddings, and enterprise knowledge sources Implement guardrails, validation strategies, and hallucination mitigation techniques Fine tune prompt strategies based on domain-specific use cases (knowledge extraction, summarization, classification, Q&A, reasoning tasks) Document prompt patterns, best practices, and reusable templates for enterprise adoption Support client demos, POCs, and pilot rollouts of GenAI solutionsSalary Range: $110,000 to $125,000 per yearQualifications: BACHELOR OF COMPUTER SCIENCE