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AI Product Engineer (Chatbot & NLP Specialist)

🌐 Remote💼 Full-time🗓 2026-06-25

Core

Architect, develop, and scale a niche-focused AI chatbot product from scratch, handling the full stack from data preparation to deployment.

Role type

Senior IC AI Product Engineer (Chatbot & NLP)

Builds

Full-stack AI chatbot product with backend infrastructure and APIs

Domain

Artificial Intelligence / Conversational AI / NLP

Deliverable

production ML models | product features | infrastructure

Required skills

LLMs, prompt engineering, conversational AI systems, Python, APIs, NLP libraries, vector databases, cloud infrastructure, deployment tools

Preferred skills

Full AI chatbot product deployment, frontend integration, user-centered design

Technologies

GPT-4, LLaMA, Mistral, Claude, LangChain, LlamaIndex, Haystack, Pinecone, Weaviate, FAISS, FastAPI, Flask, Node.js, PostgreSQL, MongoDB, AWS, GCP, Azure, Docker, Kubernetes, React, Next.js

Responsibilities

Architect and build a full-stack AI chatbot product; Select and integrate appropriate AI/LLM models; Fine-tune or customize models using specific domain data; Implement RAG pipelines; Design and deploy backend infrastructure; Build and expose APIs for chatbot interaction; Handle data ingestion, storage, and vector indexing; Ensure performance, security, and scalability; Iterate quickly based on feedback and usage.

Rewrite
## About the Role We are looking for a highly skilled AI Product Engineer who can take ownership of building a niche-focused AI chatbot product from scratch. This role is ideal for someone who understands how to architect, develop, and scale intelligent systems using cutting-edge AI technologies. You should be confident working across the stack—handling everything from data preparation and model selection to deployment and iteration. ## Responsibilities - Architect and build a full-stack AI chatbot product - Select and integrate appropriate AI/LLM models (GPT-4, LLaMA, Mistral, Claude, etc.) - Fine-tune or customize models using specific domain data - Implement RAG (Retrieval-Augmented Generation) pipelines with tools like LangChain, LlamaIndex, or Haystack - Design and deploy backend infrastructure to support chatbot interfaces - Build and expose APIs for chatbot interaction (to integrate with web, mobile, or other platforms) - Handle data ingestion, storage, and vector indexing (using Pinecone, Weaviate, FAISS, or similar) - Ensure performance, security, and scalability of the application - Iterate quickly based on feedback, analytics, and real-world usage ## Required Skills - Proven experience building AI/ML-based products (not just experiments) - Strong grasp of LLMs, prompt engineering, and conversational AI systems - Deep experience with Python, APIs, and NLP libraries (Transformers, OpenAI, Hugging Face, LangChain) - Backend expertise (FastAPI, Flask, or Node.js) and database familiarity (PostgreSQL, MongoDB, etc.) - Experience with vector databases and document indexing - Familiarity with cloud infrastructure (AWS, GCP, Azure) and deployment tools (Docker, Kubernetes) ## Preferred Qualifications - Prior experience building and deploying full AI chatbot products - Understanding of frontend integration (basic React/Next.js experience is a bonus) - Familiarity with agile/product-first environments and user-centered design ## What We Offer - Complete ownership of product tech stack and roadmap - Opportunity to work on a niche, real-world AI use case - Flexible work setup, remote-first culture - Fast-moving, execution-focused team
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