Artificial Intelligence Engineer (with Backend Expertise)

🧠 About the Role

Rexpond is building the future of AI-driven email productivity. As our AI Intelligence Engineer, you’ll sit at the intersection of backend development and artificial intelligence—designing and deploying intelligent systems that drive natural, accurate, and contextual email understanding and generation.

You’ll work closely with engineers, product designers, and stakeholders to turn abstract problems into scalable AI features that ship fast and perform reliably.

Success in this role means taking ownership of both AI model development and backend integration—delivering real-world solutions, building secure and scalable APIs, and improving our systems based on user data and feedback. You’ll help shape how people communicate professionally in the AI era.


🎯 Responsibilities
  • Design and develop advanced NLP/LLM models for email summarization, intent detection, and smart reply generation.
  • Build and maintain scalable backend systems to support AI services, including REST/GraphQL APIs and real-time endpoints.
  • Integrate AI pipelines into production applications using secure, efficient backend logic.
  • Fine-tune and optimize LLMs (OpenAI, Claude, Mistral, or custom) based on feedback, data, and prompt performance.
  • Collaborate cross-functionally with front-end and AI teams to deliver end-to-end features with a focus on great UX.
  • Conduct rapid R&D and prototyping for new AI-driven features like personalized agents, RAG, and semantic workflows.
  • Monitor, test, and improve AI performance using statistical evaluation and human-in-the-loop validation.
  • Ensure robust data security and privacy across all AI and backend systems.


âś… Qualifications
  • Strong backend experience with Node.js, Express, MongoDB (MERN stack).
  • Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, etc.
  • Deep understanding of NLP techniques: tokenization, embeddings, transformers, summarization, classification, and semantic search.
  • Experience working with LLM APIs (OpenAI, Anthropic, Cohere, or open-source models).
  • Hands-on experience deploying and maintaining ML features in production.
  • Comfortable with prompt engineering, vector search, and retrieval-augmented generation (RAG) pipelines.
  • Familiar with containerization (Docker), basic DevOps, and cloud platforms (e.g., AWS, GCP, or Vercel).
  • Excellent communication and collaboration skills in a fast-paced, startup-style environment.
  • Passion for AI, productivity tools, and shaping the future of work.


đź’Ľ Why Join Rexpond?
  • Build AI that truly helps people work better, starting with email.
  • Work with a visionary and nimble team, shaping the future of AI-powered productivity.
  • Ship fast, iterate meaningfully, and make your work visible in the real world.
  • Fully remote with flexible hours and a high-impact culture.