Senior Deployed AI Engineer – Gemini Enterprise

Avenida das Nações Unidas, 12901,11° andar São Paulosenior
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

orchestration, tool and function calling, memory, and guardrails. Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.

Technical Tools
Machine Learning EngineerData

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.
We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions.
As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption.

Responsibilities

~1 min read
  • Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node.
  • Implement agentic behavior: orchestration, tool and function calling, memory, and guardrails.
  • Build retrieval-augmented generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid search.
  • Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP.

Requirements

~1 min read
  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

 

  • Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What We Offer

~1 min read
Meal (VR)
Free Office (work from home or anywhere you want!)
Gympass
Insurance: Life, Health, and Dental
Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
Woba (you can book coworking spaces anywhere you want!)
Semi-annual evaluations (with opportunities for promotion)
  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

 

Location & Eligibility

Where is the job
Location terms not specified
Who can apply
Same as job location

Listing Details

Posted
September 21, 2026
First seen
September 21, 2026
Last seen
September 21, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
58%
Scored at
September 21, 2026

Signal breakdown

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Senior Deployed AI Engineer – Gemini Enterprise