AI / Backend Engineer (Conversational & Matching Logic)
2 days ago
Description:
We are building an intelligent system that interacts with users through adaptive questioning, interprets responses, and produces tailored outputs. You'll design and implement the backend logic, APIs, and AI integration that power this intelligent interaction layer.
Responsibilities:
• Architect and develop backend services, APIs, and databases to support real-time conversational flows.
• Integrate large language models (LLMs) and conversational frameworks for dialogue understanding and adaptive questioning.
• Develop matching algorithms and recommendation logic based on structured datasets.
• Automate dynamic document generation from AI-generated outputs.
• Ensure scalability, data security, and performance optimisation.
Requirements:
• Solid experience in backend development using Python (FastAPI, Flask, or Django).
• Experience with LangChain, LangGraph for AI Agent design.
• Knowledge of integrating LLM APIs (e.g., OpenAI, Anthropic, Gemini) and prompt-based architectures.
• Familiarity with Cloud platforms (AWS in particular).
• Strong understanding of database design and data processing (SQL/NoSQL).
• Familiarity with recommendation systems or scoring algorithms.
• Comfortable working with API orchestration and asynchronous data pipelines.
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