GenAI Engineer
Core
Design, develop, and evaluate generative AI/ML solutions, including LLM-powered applications, RAG systems, and agentic AI workflows, to address complex business challenges.
Role type
Senior IC GenAI Engineer
Builds
LLM-powered applications, RAG systems, vector search solutions, and agentic AI workflows
Domain
Generative AI, Machine Learning, Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, LLM application development, RAG pipeline construction, vector search, AI/ML frameworks, model APIs, data pipeline development, model experimentation, agentic AI, multi-agent systems, workflow orchestration, fine-tuning, enterprise AI integrations
Preferred skills
MLOps, LLMOps, model evaluation and monitoring, responsible AI practices, scalable AI architecture design, cloud deployment, agentic AI, multi-agent systems, enterprise analytics
Technologies
Python, SQL, AWS, Azure, Databricks, OpenAI, Anthropic, AWS Bedrock, Hugging Face, LLM, RAG, AI Agents
Responsibilities
Design and build LLM-powered applications and RAG systems; develop reusable data pipelines and AI workflows; create functional prototypes and proofs of concept; run experiments and assess model performance; collaborate with engineering teams to move prototypes to production; contribute to architecture decisions regarding model selection and cloud infrastructure; integrate AI systems with enterprise applications; document AI solutions and architecture decisions.
Seniority
Senior, hands-on IC
