Prompt engineer

Sr. Prompt

• Design, develop, test, and optimize advanced prompt strategies for LLMs (Open AI GPT, Claude, LLaMA, Mistral, Gemini) across enterprise use cases.
• Work closely with functional teams to engineer, test, and optimize prompts that translate business requirements into effective LLM-driven application behavior.
• Engineer multi-step prompt chains, system prompts, role-based prompts and meta-prompts for complex reasoning, planning, and decision-making tasks.
• Develop reusable prompt templates, prompt COT,ToT, Meta Prompting, Conversational Few-Shot and structured flows using frameworks like LangChain, LangGraph, and PromptLayer.
• Develop and maintain prompt orchestration pipelines for RAG, agentic AI, and multi-agent systems using LangChain, CrewAI, and MCP-based architectures.
• Engineer RAG-optimized prompts integrated with vector databases (PostreSQL, Redis, FAISS, Pinecone, Chroma) and re-ranking pipelines.
• Support agentic and multi-agent frameworks.
• Implement function-calling and schema-enforced prompting (JSON/YAML, tool/function APIs).
• Design hallucination-resistant, jailbreak-safe prompts with built-in guardrails and filters.
• Tune LLM parameters (temperature, top_p, penalties, max tokens) for accuracycostlatency balance.
• Develop reusable prompt templates, chains, and graphs (LangChain, LangGraph, PromptLayer).
• Perform A/B testing, regression testing, and prompt versioning for continuous optimization.
• Optimize token usage and context-window management to reduce inference cost.
• Align prompts with fine-tuning / LoRA / RLHF and embedding strategies.
• Implement PII/PHI masking, RBAC-aware prompts, and compliance-safe instructions (GDPR, HIPAA, ISO 27001).
• Monitor prompt drift, response instability, and output quality in production.
• Define and track prompt KPIs (quality, latency, cost, consistency).
• Ensure compliance with internal data governance and security policies.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field over 5+ years.
• Relevant Certifications/trainings on Gen AI, Prompt Engineering.
• Strong hands-on experience with LLM prompt engineering in production
• Experience integrating Prompts with RAG systems with vector databases.
• Hands-on Prompt Engineer with agentic frameworks and finetuning.
• Familiar with fine-tuning methods.
• Strong Python + API integration (FastAPI/Flask)
• Knowledge of LLM security, hallucination control, bias mitigation
• Experience/Knowledge in LLMOps/MLOps, MLflow, LangSmith, W&B, PromptLayer
• Understanding of PII protection, RBAC, compliance (GDPR/HIPAA/ISO)
• Excellent problem-solving, communication, and team collaboration skills.

Preferred Qualifications:

• Relevant certifications (Azure AI, Generative AI, LLMOps, Prompt Engineering)
• Experience with enterprise copilots, Chatbots, and agentic AI systems
• Hands-on with PromptOps / LLMOps governance and lifecycle management
• Expertise in semantic prompting, RAG, and context engineering
• Experience with LLM evaluation tools (RAGAS, TruLens, DeepEval, PromptLayer)
• Strong knowledge of LLM safety, guardrails and hallucination mitigation
• Familiar with hybrid model routing, fallback strategies and AutoPrompting
• Exposure to regulated domains and large-scale AI systems
• Certified in Azure AI Fundamentals (AI-900), Azure AI Engineer Associate (AI-102)
• Experience with big data technologies