Applied AI Engineer jobs in United States
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Ditto · 4 hours ago

Applied AI Engineer

positionSan Francisco Bay Area
timeFull-time
remoteOnsite
seniorityEntry, Mid Level
date2+ years exp

Ditto is reimagining how people meet by building the first fully agentic social platform where AI facilitates dating. The Applied AI Engineer will develop and optimize AI matchmaking systems, design chat agents, and create internal tools while collaborating closely with the cofounders and product team.

Artificial Intelligence (AI)Social MediaSocial Network
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H1B Sponsor Likelynote
Hiring Manager
Taylor Zou
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Responsibilities

Ship agentic matchmaking from research to production—own the end-to-end loop (retrieval, reasoning, tool use, safety) and drive measurable accuracy improvements
Build a prompt model evaluation harness (offline + online) to compare prompts/models/policies, support A/B testing, and enable fast iteration
Optimize AI chat systems for lower latency, higher perceived 'human-likeness,' and more consistent outcomes across providers
Design and maintain context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations and matchmaking
Stand up observability for agents (traces, costs, failures, hallucinations, guardrails) and create dashboards that guide product decisions
Collaborate daily with the cofounders and product to translate user problems into agent behaviors, experiments, and shipped features
Write clear, maintainable code; create small internal tools and SDKs other engineers (and AIs) will use

Qualification

TypeScriptPythonLLM experienceRAG engineeringPrompt engineeringMongoDBA/B testingMetrics/KPIsBuilder’s mindset

Required

2–4+ years of relevant experience or a standout personal portfolio of agents/LLM apps—show us what you've built (GitHub, demos, write-ups)
Strong programming foundations (data structures, algorithms, testing, profiling)
TypeScript (product code, tools, services) and Python (model ops, evals, data) proficiency
Experience building with multiple LLM providers and tool-calling/function-calling; comfortable swapping models and orchestrating fallbacks
Hands-on with RAG (indexing, chunking, embeddings, reranking) and context engineering for reliability and cost/latency trade-offs
Practical prompt engineering and prompt libraries; can reason about failure modes and systematically improve prompts/policies
Ability to define metrics/KPIs (accuracy, latency, cost, safety), run A/B tests, and loop in human feedback for quality
Comfortable with MongoDB in production; familiarity with vector databases (e.g., pgvector/Redis/Pinecone/Weaviate) is a plus

Preferred

MCP (Model Context Protocol), agent frameworks (LangGraph/CrewAI/Assistants), LLM observability/evals (e.g., Langfuse/Promptfoo/Ragas/TruLens), retrieval embeddings know-how, safety/guardrails/red-teaming
Builder's mindset: thrives with ambiguity, ships quickly, debugs systematically, and sweats the user experience

Company

Ditto

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We email you your next match & date plan.
dateFounded in 2022
location
Berkeley, California, USA
people-size11-50 employees
web-link
https://mydodo.world

H1B Sponsorship

Ditto has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)

Funding

Current Stage
Early Stage
Total Funding
unknown
2022-10-20Pre Seed

Leadership Team

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Eric Liu
Co-Founder
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Company data provided by crunchbase