Principal AI Engineer
Tasks
- Advise pre sales solutions for GenAI
- Apply MLOps for deployment monitoring and continuous improvement
- Architect GenAI agentic platforms end to end
- Architect agentic multi step reasoning workflows
- Build foundation model and embedding pipelines
- Collaborate with client leadership on AI architecture
- Design production systems for latency reliability cost and scale
- Implement document intelligence and RAG pipelines
- Lead evaluation observability and responsible AI practices
- Mentor engineers through architecture reviews and mentorship
- Set technical direction for generative AI systems
Perks/Benefits
- 401k employer match
- Bereavement leave
- Employee referral bonuses
- Health insurance
- Paid Holidays
- Paid time off
- Parental leave
- Sick leave
Skills/Tech-stack
AI vector search | Agent systems | Deep learning | Embedding Models | Fine Tuning | Generative AI | Google Cloud | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | PGVector | Pinecone | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic Retrieval | Semantic Search | Shell Scripting | Tool use | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search
Education
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