Role Overview:
We are looking for a highly skilled and creative Prompt Engineer with 3+ years of experience in working with Large Language Models (LLMs) and generative AI systems. In this role, you will design and optimize high-quality prompts that drive intelligent, context-aware behavior in our AI applications. You’ll work across teams to create conversational experiences, copilots, and autonomous agents that solve real-world problems.
Key Responsibilities:
Design, craft, and iterate high-performing prompts for use in generative AI systems, including chatbots, assistants, and intelligent agents.
Collaborate with AI/ML engineers, UX designers, and product teams to build seamless, human-like experiences powered by LLMs.
Evaluate and optimize prompts using model output analysis, human feedback, and automated testing.
Apply prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, function calling, and tool integration.
Build and maintain prompt libraries, templates, and best practices documentation.
Monitor LLM performance, identify weaknesses, and fine-tune prompt logic for specific use cases.
Stay up to date with the latest advancements in prompting, LLM tuning, and AI safety practices.
Requirements:
3+ years of professional experience in prompt engineering, NLP, conversational AI, or a closely related field.
Strong working knowledge of LLMs (OpenAI GPT-4, Claude, LLaMA, etc.) and prompt tuning techniques.
Proven experience designing and optimizing prompts for real-world applications.
Excellent analytical thinking and language structuring skills.
Proficiency with Python, API integrations, and tools for working with generative AI models.
Experience working in cross-functional teams on AI-driven product development.
Strong understanding of AI capabilities, limitations, and ethical implications.
Preferred Qualifications:
Experience with AI toolchains such as LangChain, Semantic Kernel, or vector databases (e.g., Pinecone, Weaviate).
Background in linguistics, computational linguistics, cognitive science, or HCI.
Familiarity with fine-tuning or reinforcement learning from human feedback (RLHF) is a plus.
Experience designing prompts for multi-modal AI systems (text + image, speech, etc.).
What We Offer:
Work on high-impact projects at the cutting edge of AI innovation
A collaborative and intellectually curious environment
Compensation is not a constraint for the right candidate – we value skill, impact, and innovation
Access to continuous learning and professional development resources
