PitchMeAI Jobs
phData

Sr. Applied AI Engineer

phData · Brazil

Posted 13 days ago

or apply directly on phData's site. We never take the application ourselves.

Is this posting real?

This role has been open
13 days
phData's roles stay open a median of 37 days
Reposted
No
Salary listed
No
0% of phData's roles list one
Ghost-job risk at phData
high
16 stale, 10 reposted of 45 open
Hiring momentum
77 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from phData's own greenhouse board since 2026-08-03. Full hiring picture for phData.

About this role

As a Senior Applied AI Engineer at phData, you will design, build, and operationalize AI and machine learning systems for enterprise clients. Your role involves translating business requirements into maintainable code and data pipelines, implementing production patterns for various AI applications, and integrating solutions with enterprise data platforms. Collaboration with a diverse team is essential to ensure high-quality delivery and adherence to engineering standards.

Our read on this posting3.0out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of phData as an employer.

What you need

  • 5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline
  • At least 3 years designing, building, deploying, or operating AI and machine learning solutions in production
  • Strong programming experience in Python for building production-grade AI, ML, and data pipelines
  • Strong working knowledge of SQL for querying, transforming, and validating data used in AI and ML solutions
  • Practical experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or comparable technologies
  • Understanding of production AI/ML concerns, including evaluation, observability, security, governance, scalability, performance, and operational support

Nice to have

  • Experience building agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as MCP
  • Experience designing and deploying enterprise RAG systems, semantic retrieval, AI applications, or intelligent workflow automation
  • Experience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex, and with LLM orchestration frameworks such as LangChain or LlamaIndex
  • Experience with model registries, feature stores, data and model lineage, model monitoring, drift detection, AI evaluations, prompt management, AI gateways, and CI/CD for AI/ML workloads
  • Experience building reusable accelerators, modular architectures, or libraries deployed across multiple clients, and contributions to open-source projects or technical communities

What you get

  • Remote-First Work Environment
  • Casual, award-winning small-business work environment
  • Collaborative culture that prizes autonomy, creativity, and transparency
  • Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
  • Accelerated learning and professional development through advanced training and certifications

Worth weighing

  • No salary listed
  • The role involves collaboration across distributed global teams, which may require flexibility in working hours
  • The position emphasizes ownership and high performance, which may lead to a fast-paced work environment

Summarised from phData's posting. Read the full original.

Listed by phData on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at phData

All 45 open roles at phData →