About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Position Summary
The Prompt Engineer plays a key role in designing, optimizing, and managing interactions with large language models (LLMs) and generative AI systems. This role requires a mix of creativity, analytical thinking, and technical expertise to craft effective prompts, improve response quality, and integrate AI-driven workflows into business or technical operations.
Key Responsibilities
- Develop and refine effective prompts to achieve desired outputs from LLMs across various use cases (e.g., content generation, summarization, classification, automation).
- Experiment with prompt phrasing, context structuring, and parameter tuning to enhance accuracy, reliability, and tone of AI responses.
- Maintain a prompt library with tested and validated templates for reuse across teams.
- Evaluate model behaviour and performance across different prompt designs and model versions.
- Identify bias, inconsistencies, or hallucinations in outputs and adjust prompts or context data accordingly.
- Work with different team members to integrate prompt logic into applications and automation systems.
- Translate user or business requirements into structured prompt frameworks.
- Contribute to documentation, training materials, and playbooks for AI prompt usage.
- Stay up-to-date with advances in LLMs, generative AI, and prompt engineering best practices.
- Experiment with tools like LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG) frameworks.
- Explore prompt-based automation and multi-model orchestration opportunities.
Basic Qualifications
- Bachelor’s degree in Computer Science, Linguistics, Data Science, or related field (Master’s preferred).
- 2–5 years of experience working with AI/ML, NLP models, or automation systems.
- Strong command of English language and prompt composition techniques.
- Familiarity with LLM APIs (OpenAI, Anthropic, Google Vertex, Azure OpenAI, etc.).
- Scripting skills (Python, JavaScript, or similar) for prompt automation and API integration.
- Understanding of data privacy, bias mitigation, and ethical AI considerations.
Preferred Qualifications
- Addon Experience with LangChain, LlamaIndex, or RAG pipelines.
- Exposure to vector databases (Pinecone, Weaviate, FAISS).
- Knowledge of Chatbot frameworks, API development, or automation platforms.
- Basic understanding of fine-tuning and embedding models.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
