Job Search and Career Advice Platform

Ativa os alertas de emprego por e-mail!

Senior Software Engineer, Data & AI Engineering (Brazil)

Scrunch

Brasil

Presencial

BRL 80.000 - 120.000

Tempo integral

Ontem
Torna-te num dos primeiros candidatos

Cria um currículo personalizado em poucos minutos

Consegue uma entrevista e ganha mais. Sabe mais

Resumo da oferta

A venture-backed AI startup in Brazil is seeking a full stack developer to focus on building data pipelines and leveraging LLMs. The ideal candidate will have extensive experience building web APIs, relational databases like PostgreSQL, and data processing pipelines. The role involves delivering tools to enhance customer success in a rapidly evolving AI landscape, requiring a flexible skill set to meet various challenges.

Qualificações

  • Extensive experience building & using web APIs.
  • Experience with relational databases, particularly PostgreSQL.
  • Experience writing data processing pipelines including big data tools.

Responsabilidades

  • Build features related to data pipelines and LLM usage.
  • Deliver tools for customers to succeed in the AI era.
  • Create notifications, alert emails, and scheduled reports.

Conhecimentos

Web API development
PostgreSQL
Analytics tools
Data processing pipelines
ML techniques

Ferramentas

Snowflake
Google BigQuery
Pandas
Flink
Descrição da oferta de emprego
About Scrunch

Scrunch, a venture-backed startup, is on a mission to bring brands to an AI-first future—where people increasingly rely on LLMs to discover, understand, and act on information that matters to them.

As AI search and conversational agents replace traditional web search and browsing, Scrunch helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms like ChatGPT, Claude, Gemini, and more—working with AI platforms, not against them. This shift represents the biggest change to marketing since the dawn of the internet.

With $26M in backing from Mayfield Fund, Decibel, Homebrew, GTM Capital, and leading Silicon Valley founders and operators, Scrunch has scaled rapidly since commercial launch. Today, more than 500 paying brands—including Lenovo, Skims, Clerk—use the platform.

About the Role

The Scrunch product involves acquiring and processing a lot of data, both using LLMs and more traditional analytics methods. In this role you will play a huge part in successfully delivering our roadmap and ultimately in giving our customers the tools they need to succeed in the AI era.

Because we are a small organization, this is a full stack role. While most of your work will be focused on building features related to our data pipelines, usage of LLMs, analytics APIs, etc., you\'ll need to do whatever is necessary to deliver value to our customers. This can include some light React work but also work creating notifications, alert emails, scheduled reports, connectors into third party systems, etc.

For this role, we\'d like to see candidates that:

  • Have extensive experience building & using web APIs, including handling authentication, authorization, caching, rate limiting, etc.
  • Experience building API for external customers is a big plus.
  • Experience with relational (transactional) databases, particularly PostgreSQL.
  • Experience with analytics tools and technologies, such as analytical SQL, and platforms like Snowflake, Google BigQuery, DuckDB, Spark SQL, etc.
  • Experience with analytics packages like Pandas or Polars is a plus.
  • Experience with streaming analytics is a plus.
  • Experience writing batch and streaming/interactive data processing pipelines, including big data tools like Flink, Beam (GCP Dataflow), Spark, etc.
  • Experience with job queues and task processing frameworks (Celery, Resque, or cloud-based options like Google Cloud Tasks).
  • Experience with multi-step durable execution frameworks like Temporal or Inngest.
  • In-house or home-rolled versions of any of the above you\'ve used at previous companies.
  • The ability to quickly understand source data and validate output data quality.
  • Experience using LLMs and/or traditional ML techniques to build classifiers, data extractors, summarizers, etc.
  • Not required but a big plus: experience building evals for LLM-based tools to assess and improve accuracy at these kinds of tasks.

Scrunch is an equal opportunity employer. We welcome people of all backgrounds, experiences, perspectives, and identities. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta um ficheiro em formato PDF, DOC, DOCX, ODT ou PAGES até 5 MB.