Prompt Engineer

Job Description

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, cutting-edge solutions that push the boundaries of what’s possible through AI and human-machine collaboration. 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 Show more Show less