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 its 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
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).
