Lead AI Engineer
Tasks
- Apply MLOps practices
- Architect and build generative AI applications
- Build and manage agentic workflows
- Develop RAG pipelines
- Implement semantic search systems
- Lead LLM and embedding fine tuning
- Optimize for latency error handling and cost
- Serve and monitor AI models in production
- Translate business needs into AI architectures
Perks/Benefits
- 401k employer match
- Bereavement leave
- Comprehensive health insurance
- Employee referral bonuses
- Paid Holidays
- Paid leave
- Parental leave
- Sick leave
Skills/Tech-stack
Agent workflows | Fine Tuning | GPT-4 | Generative AI | Google Cloud | Google Cloud Vector Search | Google Cloud Vertex | Google Cloud Vertex AI | Google Gemini | Langchain | Language Models | Large Language Models | Llama | Llamaindex | MLOps | PGVector | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Shell Scripting | Vector Databases | Vector Search | Vertex AI
Roles
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