AI Engineer

Overview

AI Engineer

Why Reelo
In today’s customer centric world, it’s important for every business to market like the best brands in the world. As competition for customers’ attention increases, it has never been more important for small and mid-market F&B and retail businesses to have 360° view of the people that keep them in business. But collecting, understanding and taking action on customer data is riddled with market, resource, and technology challenges. Solving these challenges is why we get up in the morning.
Reelo is the new-age customer marketing platform for restaurant & retail businesses to grow their revenue, get more customers and build a stronger brand, in an incredibly simple manner.

We understand that it's easier than ever to start a restaurant & retail business, it’s harder than ever to grow it. Specifically, most of these businesses have two challenges with growth:

1. Getting people to make their first purchase.
2. Getting those people to come back and buy again (and again and again). These businesses and their teams already have 1,000 things to do — wrestling with overly complicated marketing tools doesn’t need to get added to the list.

Our SaaS platform makes it fast & easy for businesses to understand more about their customers and continuously engage with them in a smart & automated way - making them look like a professional without the effort.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. For that, we’re building a strong, diverse team of curious, creative people who want to find purpose in their work and support each other in the process. If that sounds like you, we’d love to hear from you.
👉🏻 Read more on https://www.reelo.io

About the Opportunity
We’re looking for an AI Engineer who can design, build, and deploy real-world systems powered by large language models (LLMs). This is a hands-on role for someone who thrives on rapid prototyping, structured experimentation, and building scalable, production-ready AI pipelines.

What You’ll Do
· Design and implement LLM-powered and agentic workflows for real-world business use cases.
· Build and refine prompting strategies, evaluation frameworks, and monitoring pipelines for deployed models.
· Develop retrieval-augmented generation (RAG) systems by integrating vector databases, APIs, and internal tools.
· Collaborate closely with backend and product teams to deliver seamless AI experiences in production.
· Establish metrics and observability to ensure system reliability and performance.
· Research and experiment with new models, frameworks, and orchestration tools to continuously enhance Reelo’s AI capabilities.
· Contribute to internal documentation, best practices, and knowledge sharing across teams.

What We’re Looking For
· 2–4 years of experience in software engineering or applied machine learning.
· Strong command of Python and familiarity with frameworks such as LangChain, LlamaIndex, or FastAPI.
· Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and vector databases (Pinecone, FAISS, Weaviate).
· Solid understanding of retrieval systems, embeddings pipelines, and prompt engineering.
· Proficiency with RESTful APIs, JSON, and async programming.
· Familiarity with deploying systems in cloud environments (AWS, GCP, or Azure) using containerized or serverless setups.
· Strong problem-solving, documentation, and collaboration skills.
· A builder’s mindset — curious, experimental, and eager to ship features that make a real impact.

Bonus Points If You Have
· Experience with agent frameworks (CrewAI, AutoGPT) or AWS Bedrock integrations.
· Understanding of data pipelines, S3, or event-driven architectures (Kinesis, SQS).
· Exposure to observability tools like Datadog or Prometheus for AI performance monitoring.
· Familiarity with evaluation metrics for LLM-based systems (factuality, latency, cost efficiency).