Avatar for Revi
Revi connects and deepens customer engagement with the local businesses
  • B2B
  • Early Stage
    Startup in initial stages

Jr. AI ENGINEER

  • $130k – $170k • No equity
  • |
  • |6 years of exp
  • |Full Time
Posted: 2 months ago
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Hiring contact
Andrea De Leon
Employee
image

About the job

Jr AI Engineer
Location: Remote/Hybrid in San Francisco Experience: 0–3 years Team: AI Engineering
About Revi
Revi is a Series A restaurant commerce platform building the AI operating system for the restaurant industry. We're rapidly transforming how restaurants run their business through agentic AI — from voice agents that handle customer interactions to agentic commerce and intelligent automations across our ReviOS dashboard. We're a small, fast-moving team where engineers ship to production daily and own meaningful surface area from day one.
The Role
We're hiring a Junior AI Engineer to help us design, build, and ship agentic AI systems and ML-powered features into production. You'll work alongside senior engineers on real problems — building agents that take actions on behalf of restaurants, tuning models that personalize customer experiences, and integrating frontier LLMs into our product stack. This is a hands-on builder role; expect to write production code, deploy services, and iterate quickly based on user feedback.
What You'll Do
Build and ship agentic AI features — single-agent and multi-agent systems that perform real tasks for restaurants and their customers
Develop deterministic ML models (classification, ranking, regression, retrieval) for use cases across the platform
Integrate LLM APIs (Anthropic Claude, OpenAI GPT, and others) into product workflows, including prompt engineering, tool use, structured outputs, and retrieval-augmented generation
Deploy and maintain AI/ML services in production — containerized, observable, and reliable
Work closely with senior engineers and product to translate fuzzy product ideas into shipped features
Contribute to evaluation and monitoring frameworks so we know our agents and models actually work
What We're Looking For
Basic Qualifications
0–3 years of experience building AI/ML systems. This can come from full-time work, internships, or substantive class/research projects — what matters is depth, not the source
Demonstrable hands-on experience with agentic AI — single-agent or multi-agent systems built using frameworks like LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or custom orchestration
Working knowledge of deterministic ML modeling — building, training, and evaluating models with libraries like scikit-learn, XGBoost, LightGBM, or PyTorch
Hands-on experience integrating LLM APIs (Claude, GPT, Gemini, etc.) into a working application — including prompt design, tool calling, and handling streaming/structured responses
Some deployment experience — you've put a service behind an API, containerized it, and run it somewhere real (AWS/GCP/Azure, Modal, Render, Fly, etc.)
Strong Python skills; comfort with Git, REST APIs, and basic SQL
BS or MS in Computer Science, Machine Learning, or a related quantitative field — or equivalent demonstrable skill
Preferred Qualifications
Experience with vector databases (Pinecone, Weaviate, pgvector, etc.) and RAG pipelines
Familiarity with LLM observability/eval tools (LangSmith, Langfuse, Braintrust)
Exposure to distributed data processing (Spark, Databricks) or streaming systems (Kafka, Kinesis, Pub/Sub) — even from an internship or coursework
Exposure to voice AI, speech-to-text, or real-time conversational systems
Experience with restaurant tech, commerce platforms, or B2B SaaS
Our Values
Heart: A team that is passionate about what they do, with a heart of giving back.
Impact: Being a versatile team player with an innovative mind and a firm backbone to make an impact on everything they touch.
Excellence: A team committed to excellence in all we do, with integrity and supreme service.
Perks and Benefits of Joining the Revi Team
Ship real agentic AI to real customers — not demos
Work directly with senior engineers and leadership on architecture and product decisions
Move fast, own outcomes, and grow rapidly into a senior IC
Competitive compensation, meaningful early-stage equity, and a strong AI-forward culture
Excellent and comprehensive health plans (Medical, dental, vision, etc)
Flexible Vacation Policy, Paid holidays
Organized volunteer events to give back to our community
Off-sites, events and happy hours
401k
Comp range - Base : 130k USD - 170k USD + Equity

About the company

Revi  company logo
Revi connects and deepens customer engagement with the local businesses51-200 Employees
  • B2B
  • Early Stage
    Startup in initial stages
Learn more about Revi  image

Funding

AMOUNT RAISED
$1.7M
FUNDED OVER
3 rounds
Rounds
PRE
$900000
Pre-Seed - Feb 2019+2

Founders

Eugene Johnson
CEO • 9 years
image
View the team image

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