Senior Deployed AI Engineer

Avenida das Nações Unidas, 12901,11° andar São Paulosenior
Machine Learning EngineerData
1 views0 saves0 applied

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.

Requirements Summary

Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate,

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
  • →Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • →Experience with Terraform or CI/CD pipelines.
  • Breadth across the full stack, with depth in at least one AI platform
  • 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 25, 2026

Posting Health

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

Signal breakdown

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

L
Senior Deployed AI Engineer