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← phData

Sr. Applied AI Engineer

phData
Location
Brazil
Posted
17 days ago
Department
Applied AI
What they actually want (must-haves)
  • 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 the job really is

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.

Benefits
  • 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
Things to weigh
  • 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
Job score3/5
Benefits3/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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