Backend Engineer, AI Integrations
Job Description
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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.
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Sierra Studio
View Company ProfileSierra Studio (operating at sierra.studio) is a technology studio and startup incubator shaping the next generation of AI-first companies. Founded in 2021 by Bret Taylor and Clay Bavor and headquartered in Los Angeles, California, Sierra Studio helps business leaders and founders embed AI-first systems, tools, and talent turning disruption into a competitive advantage. Under the hood, the company designs, builds, and launches products that bridge human and artificial intelligence. This allows business leaders to capture the value of their data, build AI systems, and access top talent.
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