Senior NLP Engineer (Agentic AI)

Ditto AI • San Francisco, CA

3d

About The Position

Ditto AI is building the agentic social network — and we are doing it as an AI-native company.
We’re not trying to replace human interaction. We’re trying to remove friction, reduce noise, and make introductions and connections more efficient, thoughtful, effective.
That requires solid engineering and pragmatic NLP work — not demos.
Role Overview
We’re hiring a Senior NLP Engineer (Agentic AI) to help design and build the language systems that power our agents.
You will work across model integration, conversation pipelines, agent orchestration, and language governance — with a focus on production reliability. Every profile runs as an AI agent that:
understands people beyond surface signals
uncovers hidden compatibility patterns
reduces noise and guessing
helps people connect smarter, not louder
This role is heavily hands-on. You’ll be building, shipping, and iterating — not just prototyping.

Requirements

• 7+ years of hands-on NLP engineering in production
• 2+ years building LLM-enabled systems in production
• shipped conversational AI / multi-turn agent systems
• LangGraph and/or LangChain used in production, not just prototypes
• Proficient in TypeScript and Python
• proficient using AI coding tools like Cursor and Claude Code
• Retrieval systems + AI database using: MongoDB Redis AI DBs — ideally Weaviate

Nice To Haves

• social / dating / recommendation platforms
• trust & safety or moderation systems
• Reinforcement learning — especially TD learning (super plus)

Responsibilities

• conversational systems that hold up under real usage
• retrieval pipelines where accuracy actually matters
• enrichment layers that structure messy data
• durable context + memory systems
• matchmaking and chatting logic that reveals hidden compatibility
• runtime safety and observability
• evaluation tied to real, measurable outcomes
• learning loops that improve — without losing control

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees