ML/AI Engineer with Snowflake (AI&Data)
Core
Design and develop GenAI-powered solutions, integrating LLMs with cloud AI services to support business processes and decision-making.
Role type
Senior GenAI Engineer (LLM & Data Platform)
Builds
Scalable GenAI applications, RAG/GraphRAG pipelines, and production-ready AI solutions.
Domain
Generative AI, Large Language Models (LLM), Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
Python, GenAI/LLM concepts (context/prompt engineering, embeddings, RAG), Snowflake or modern data platforms, Cloud platforms (AWS/Azure/GCP), API integration, Data engineering fundamentals, Architectural design
Preferred skills
LangChain/LlamaIndex, Vector databases, Snowflake Cortex, LLMOps practices, Containerization (Docker/Kubernetes), Infrastructure as Code (Terraform), AI governance
Technologies
Snowflake Cortex, AWS Bedrock, LangChain, LlamaIndex, Docker, Kubernetes, Terraform, Airflow, DBT
Responsibilities
Design and implement RAG/GraphRAG pipelines combining enterprise data with GenAI models; Experiment with prompt engineering, agentic orchestration, and model configurations; Collaborate with stakeholders to identify and translate GenAI use cases into scalable solutions; Integrate GenAI solutions into modern data platforms; Support POC/POV initiatives to validate GenAI technologies.
Seniority
Senior, hands-on IC
