Backend Engineer, AI Integrations

Sierra Studio

Brasil

Teletrabalho

BRL 312 000 - 520 000

Tempo integral

Há 4 dias
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Vantagens oferecidas por esta oferta de emprego

Remote-friendly

Resumo da oferta

Sierra Studio is a fully remote product development company focused on AI. You will join as a Backend Engineer specializing in AI integrations, architecting stacks, and shipping production-ready generative AI features for client projects.

Lead, mentor, and collaborate across teams to deliver scalable AI-powered experiences while continuously improving internal tooling and processes. Salary ranges reflect a fully remote role with global teammates.

Qualificações

  • 5+ years of software engineering with leadership experience.
  • Backend focus with TS or Python and cloud infra exposure.
  • Experience building LLM-powered products and AI tooling.
  • Familiarity with retrieval augmented generation and vector search.
  • Comfort evaluating Claude Skills and selecting LLMs.

Responsabilidades

  • Lead AI-integrated product work for client projects from idea to production.
  • Architect stack, implement features, and ensure reliability.
  • Mentor engineers and help grow the team.
  • Collaborate on internal AI tooling and delivery practices.

Conhecimentos

Experience in software engineering
Backend TS or Python
Cloud infrastructure
Databases (PostgreSQL, MongoDB)
LLM APIs (OpenAI, Anthropic)
Agentic engineering
Retrieval layer (RAG, vector search)
Claude Skills evaluation
LLM selection for tasks
MCP server integration
Fast learning across stacks
English communication
Estimate timelines/scope
AI coding with tooling (Claude Code,%,

Ferramentas

OpenAI API
Anthropic API
Azure
GCP
AWS
PostgreSQL
MongoDB
Vector search tools

Descrição da oferta de emprego

Backend Engineer, AI Integrations

Sierra Studio is a product development company with a focus on AI – we turn our customers’ ideas into reality! We’re based in Los Angeles, but our teammates live all around the world. We create a wide variety of products for our customers: from LLM-powered web/mobile apps to cutting-edge work at the frontier of AI.

About The Role

As a Backend Engineer focused on AI Integrations, you'll lead engineering on AI products that ship production ready generative AI features. You'll architect the stack, write clean code, integrate LLM APIs, own features end-to-end, and work with your teammates to take ideas from prototype to something clients can rely on.

This role sits between our Fullstack and AI tracks: strong fullstack engineering skills, plus hands-on experience at the application layer of AI: model APIs, retrieval, agentic engineering.

Here's a taste of what you could do at Sierra!
  • Client projects: Lead AI-powered product work for a startup: designing and shipping customer-facing AI experiences, from agent orchestration and tool use to the interfaces and backend systems that support them

  • Internal projects: Improve our own AI tooling and delivery practices

  • Hiring: Help us grow the team and interview future candidates

  • Leadership: Mentor other engineers to level up our team

Who We’re Looking For

We’re looking for a backend engineer with experience building LLM-powered products.

If you're excited about this role but don't check every box, we'd love to see your application anyway.

Requirements:

  • 5+ years of experience in software engineering, including leading projects or people

  • Backend experience: TypeScript or Python

  • Experience with cloud infrastructure (e.g. Azure, GCP, AWS)

  • Experience with databases (e.g. PostgreSQL, MongoDB, etc)

  • Hands-on experience building with modern LLM APIs (e.g. OpenAI, Anthropic)

  • Experience with agentic products and prompt engineering

  • Experience with the retrieval layer (e.g. RAG, embeddings, vector search)

  • Experience writing and evaluating Claude Skills

  • Know how to choose the right LLM for the right task, balancing quality, cost, and other factors

  • Experience creating and integrating with MCP servers and converting API endpoints into tools

  • Growth mindset: able to quickly learn new languages, frameworks, and more

  • Strong written + verbal communication skills in English

  • Ability to accurately estimate timelines and scope

  • Experience using AI for coding (e.g. Claude Code, Codex)

Great to have:

  • Experience with system administration, internal workspaces, and IT infra (e.g. Microsoft 365, Google Workspace, Sharepoint)

  • Experience connecting Cowork / ChatGPT Work to internal data sources

  • Experience with integrating Microsoft 365 with AI systems

  • Experience building data ingestion pipelines

  • Experience in the financial sector

Bonus – nice to have:

  • Consulting, product studio, or multi-client delivery experience

  • Things you've built that you'd like to show us — work projects, open source, or side projects all count!

How We Work

Fully remote, with flexible hours. We care about output, not hours online. We support work-life balance for teammates at every life stage.

Our culture
  • Growth mindset: We look to magnify our strengths, take chances, and always learn from our mistakes.

  • Supportive: We keep our egos out of the workplace and support each other when trying new things.

  • Product & customer centric: We care deeply about our customers and clients and always keep their needs top of mind. We build tech to solve real problems.

  • Ownership: We take initiative, even when it is “not our job.” As a startup, we all wear lots of hats.

Why join us?

At Sierra Studio, we believe in nurturing talent and creating good vibes at work. We seek inclusion and embrace our differences. We’re all about “growth mindset”, and we look to magnify our strengths, take chances, and always learn from our mistakes. We don’t fit our teammates into boxes, and instead we understand that each person has their own unique set of skills that they bring to the table. If you join us, we’ll embrace who you are today, and give you the space and tools to keep growing.

Salary Range: $60k - $100k annually.

Your exact compensation will be determined based on a variety of factors that reflect your individual qualifications and how they align with the needs of the role.

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