Techvantage Analytics - Prompt Engineer - NLP/Conversational AI

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.