Prompt Engineer
Location: Remote / Hybrid (India-based preferred)
Type: Internship / Part-time / Full-time (based on availability)
Role Overview:
We’re looking for a Prompt Engineer who can harness the power of large language models (LLMs) like ChatGPT, Claude, or Gemini to create smart, context-aware, and user-friendly AI interactions. You will design and test prompts that drive key product features, power intelligent outputs, and ensure consistent, accurate performance across use cases.
Key Responsibilities:
Design, craft, and iterate on effective prompts for various LLMs (OpenAI, Google, etc.).
Work closely with UI/UX, product, and AI teams to understand product flows and translate them into AI-driven interactions.
Analyze model responses and refine prompts to improve accuracy, tone, context, and relevance.
Build prompt chains, zero-shot/few-shot examples, and memory-aware prompts where needed.
Conduct prompt A/B testing and track performance across edge cases.
Help integrate prompts into frontend/backends using tools like Supabase Edge Functions or API endpoints.
Stay updated with LLM behavior, prompt engineering techniques, and prompt-based tools (LangChain, LlamaIndex, etc.).
Requirements:
Strong understanding of LLMs (like GPT-4, Claude, Mistral, Gemini).
Excellent English writing and communication skills.
Experience with prompt writing, context structuring, and zero/few-shot learning techniques.
Analytical mindset to evaluate prompt results and continuously improve.
Familiarity with tools like ChatGPT playground, OpenAI API, LangChain, or Flowise.
Ability to work in cross-functional teams with designers, developers, and product managers.
Good-to-Have Skills:
Knowledge of API integration (OpenAI, HuggingFace, etc.)
Basic coding (Python/JavaScript) for testing prompts via script or API
Experience with Supabase, Edge Functions, or backend logic
Prompt testing in AI tools like Notion AI, Jasper, or custom GPTs
Experience building with custom GPTs, agents, or RAG (Retrieval Augmented Generation) systems