Lead design and build of AI data infra and ETL/ELT pipelines for production systems
Collaborate with clients to deploy robust AI-powered data workflows
Develop RAG and agentic workflows on modern LLMs with cloud infra
Contribute to internal accelerators and reference implementations

🎯 Requirements

3–5 years of software engineering; 1+ year shipping AI/LLM features
Strong Python; experience with TS/JavaScript, Go, or Java
Hands-on with modern LLM APIs (Anthropic, OpenAI, Azure, AWS Bedrock)
Data engineering tooling: dbt, Airflow, Snowflake, BigQuery, Databricks
RAG patterns, embeddings, and vector stores (pgvector, Pinecone, Weaviate)
Cloud platforms: AWS, Azure, or GCP; containerized services and IAM

🎁 Benefits

Remote-first culture with async docs and updates
Growth opportunities: LLM playgrounds and AI guild
Collaborative environment with senior architects
Opportunity to work at the frontier of applied AI

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot