JR. AI ENGINEER

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

Pay: $130,000.00 - $170,000.00 per year

Work Location: In person