Senior AI Platform Engineer

Job not on LinkedIn

🔥 1 hour ago

🇧🇷 Brazil – Remote

💵 $36k - $46k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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wti-labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2026

⚡ Energy

🤖 Artificial Intelligence

🤝 B2B

Energy • Artificial Intelligence • B2B

wti-labs is an AI venture studio based in Houston, TX focused on building AI-native products for upstream oil & gas. It sources real problems through industry relationships, builds products alongside founding customers, and scales them into standalone companies. Their stated focus areas include supply chain, accounting, owner relations, land management, production & operations, and oilfield services; the portfolio is intentionally limited (8 slots) with several companies in stealth/in-build and remaining slots open. The studio hires full-stack builders and entrepreneurs-in-residence and offers partnerships for existing upstream SaaS businesses.

📋 Description

• Turn AI-built prototypes into secure production systems running on enterprise data • Harden Node, React, and Postgres applications with architecture, authentication, testing, observability, and CI/CD • Connect Node, React, and Postgres applications securely to Databricks and Snowflake within governance and access controls • Design reliable, auditable APIs and pipelines moving data between Postgres and Databricks or Snowflake • Deploy and operate open-weight LLMs on dedicated GPU servers using vLLM or similar inference engines • Build batch and real-time pipelines for LLM extraction, classification, and summarization over large datasets • Keep sensitive data within controlled environments using network isolation, encryption, secrets management, and audit logging • Monitor GPU utilization, throughput, latency, and cost, and right-size infrastructure as workloads grow • Set production standards for AI-built prototypes and document architecture • Work directly with the Senior Leadership Team and integrated data teams

🎯 Requirements

• 6+ years of professional software engineering, including senior-level ownership of production systems • Strong Node.js backend experience (TypeScript preferred): APIs, services, and authentication • Strong React experience building production front ends • Deep PostgreSQL experience: schema design, query tuning, and migrations • Hands-on production experience with Databricks (for example Unity Catalog, Delta Lake, Databricks SQL) • Hands-on production experience with Snowflake (for example Snowpark, secure views, role-based access control) • Experience deploying and serving LLMs on GPU infrastructure, including throughput and memory tuning • Solid security fundamentals for sensitive data: access control, encryption, network isolation, and secrets management • Linux, Docker, and at least one major cloud (AWS, Azure, or GCP) • Comfort reviewing and refactoring AI-generated code, and using AI coding tools yourself • Professional English, written and spoken, for daily work with a US-based team • Kubernetes, including GPU workloads • Infrastructure as code (Terraform or similar) • Retrieval-augmented generation (RAG) and vector search, such as pgvector, Databricks Vector Search, or Snowflake Cortex Search • Databricks Mosaic AI Model Serving, Snowflake Cortex, or Snowpark Container Services • Model quantization and inference optimization • Large-scale document processing: OCR, entity extraction, and classification • Work in regulated or data-sensitive industries such as finance, healthcare, energy, or government • Databricks or Snowflake (SnowPro) certifications

🏖️ Benefits

• Work From Home • Generous Salary Commensurate with Experience • Flexible Working Environment

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