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We're partnering with a digital client building production-grade AI systems powered by LLMs, machine learning, and modern cloud platforms. This is a hands-on engineering role focused on building and deploying scalable AI solutions in production — including LLM applications, RAG pipelines, vector databases, and end-to-end ML systems across large-scale structured and unstructured data.
What you'll do: Build and deploy AI/ML systems, implement RAG pipelines, work with vector databases, and support production-grade model deployment and monitoring. Collaborate with data engineering and product teams to ship AI features.
Requirements: Strong Python + SQL, hands-on LLM experience (OpenAI, Anthropic, or open-source models), RAG and vector databases (Pinecone, FAISS, Weaviate), cloud experience (AWS/Azure/GCP), and experience deploying ML systems. Databricks or Snowflake experience a plus.
$120–$175/hr | W2 or C2C/LLC | Fully remote (EST)
No sponsorship available
High-impact AI engineering. Production systems. Let's connect! xsgimln
Remote working/work at home options are available for this role.