Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds!

Do you want to know why Rappi?

⭐️ WE SEE OPPORTUNITIES where others see problems

⭐️ WE SEE CLOSE where others see distance

⭐️ WE SEE ADRENALINE where others see pressure.

Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience.

Did you like what you have read so far? Find out how you will deliver magic together with us through your Rappi mission 🧡

Check out how it will impact our ecosystem:

We are looking for an AI Engineer who can design, build, deploy, and monitor production-ready AI systems using pre-trained LLMs and modern backend infrastructure. You will work on real business workflows (not research), shipping reliable AI features end-to-end.
This role is for someone who is a strong software engineer first, and who knows how to use LLMs effectively with clean system design, retrieval, guardrails, evaluation, and observability.

As part of Rappi, you will be responsible for:

• Build and ship LLM-powered features from prototype to production.

• Design AI systems that combine deterministic logic with LLM calls for reliability.

• Create and maintain backend services (APIs, workers, data storage) that support AI workflows.

• Implement Retrieval Augmented Generation (RAG): ingestion, chunking, embeddings, retrieval, reranking, and evaluation.

• Build prompt and output strategies that are robust and structured (schemas, validation, retries).

• Add observability for LLM calls: traces, costs, latencies, errors, and quality metrics.

• Create automated evaluations and regression tests for AI behavior over time.

• Implement safety and security guardrails (PII handling, injection defenses, access control).

• Collaborate with Product, Data, ML, and Ops teams to turn messy workflows into shippable systems.

• Own reliability in production: incident response, monitoring, and iterative improvements.

Good and now, what are the requirements for me to be part of this neon universe?

• Strong Python fundamentals (clean code, packaging, debugging, logging, testing).

• Proven experience building backend services (FastAPI or similar) and integrating external APIs.

• Solid understanding of LLM APIs (OpenAI, Anthropic, or similar), including structured outputs, parameters tunning  and error handling.

• Experience designing AI workflows (prompting, tool use, orchestration patterns, multi-step pipelines).

• Experience with asynchronous workloads and background processing (Celery, RQ, or similar).

• Practical experience with Docker and running services in production.

• Experience with PostgreSQL and basic database design.

• Hands-on RAG experience: embeddings, vector search, and retrieval quality improvements.

• Experience with monitoring and evaluation (Langfuse or similar tracing, plus test datasets and metrics).

• Strong product mindset: you optimize for user outcomes, cost, and reliability, not demos.
   

Nice to Have

• Experience with pgvector, Weaviate, Chroma, LanceDB, or similar.

• Experience with LangChain, LangGraph, PydanticAI, or similar orchestration frameworks.

• Experience with hybrid search (keyword + vector), reranking, query expansion.

• Experience with cloud deployment (AWS, GCP, Azure) and CI/CD (GitHub Actions).

• Experience with event-driven architecture (queues, pub/sub, job systems).

• Experience with Sentry (or equivalent) and operational on-call practices.

• Spanish and English fluency (Portuguese is a plus).
   

Tech Stack

• Python, FastAPI, Pydantic

• PostgreSQL, Redis

• Langchain, Langraph, LlamaIndex, or native SDKsCelery (or similar)

• Kafka, SQS, RabbitMQ, ActiveMQDocker

• Vector search: pgvector or a managed vector DB

• Observability: Langfuse, OpentelemetrySentry, logging/metrics

• CI/CD: GitHub Actions, Github Custom Agents

LLM providers: OpenAI, Anthropic (or equivalent), Gemini, Grok

Worker type:

Regular

Company:

Rappi Technology Colombia

For more information check our website https://about.rappi.com/es and check our reviews on Glassdoor https://acortar.link/Eqm07Q

we are waiting for you to build and deliver the magic together! #Rappi 🧡