Job Summary
We’re seeking a senior to mid-level AI Prompt Engineer to join us—a global AI-powered platform that helps entrepreneurs start and grow businesses. The successful candidate will design, optimize, & maintain the prompt and intelligence layer that powers AI experiences. Translate business logic into high-performing prompts, integrate LLM API, etc. AI Prompt Engineer to shape the intelligence layer behind their platform—crafting high-performance prompts, adaptive logic, and response models that power our user journeys across business idea creation, automation, and scaling. This role bridges AI system design, backend logic, and human-like experience delivery. You’ll work closely with our engineering and product teams to turn business flows into structured, context-aware AI behaviors.
- Minimum Qualification : Degree
- Experience Level : Mid level
- Experience Length : 4 years
- Working Hours : Full Time
Job Description/Requirements
Responsibilities:
- Design and optimize prompt templates for all modules
- Develop reusable prompt chains and response conditioning logic (using LangChain, LlamaIndex, or similar).
- Collaborate with backend engineers to integrate model APIs (OpenAI, Anthropic, Mistral, or local LLMs).
- Build and test retrieval-augmented generation (RAG) flows with vector databases (Pinecone, Weaviate, etc.).
- Evaluate AI outputs using accuracy, tone, and context benchmarks.
- Maintain a version-controlled prompt library and prompt-layer documentation.
- Support development of the “Smart Memory Layer” for persistent context and guardrails.
- Continuously tune prompts for performance, latency, and token efficiency.
Requirements:
- Proven experience designing and optimizing prompts for LLMs (OpenAI, Claude, Gemini, or open-source models).
- Solid programming background (Python or Node.js).
- Experience with LangChain, LlamaIndex, or PromptLayer.
- Understanding of vector databases, embeddings, and context retrieval.
- Familiarity with model selection, fine-tuning, and evaluation techniques.
- Strong analytical and documentation skills.
- Ability to collaborate within Agile/Scrum environments (Jira, GitHub).
- Prior experience building AI-driven SaaS or automation tools.
- Knowledge of persona design, tone calibration, and chain-of-thought compression.
- Exposure to AWS/GCP for model deployment or data handling.
Benefits:
- Opportunity to define the intelligence layer of a global AI SaaS platform.
- Collaborative, high-velocity, and smart environment.
- Remote flexibility and growth potential.
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