Sr. Artificial Intelligence Engineer
Tasks
- Build MCP servers and AI assistants
- Collaborate with business and data teams to deploy AI solutions
- Design LLM-powered applications
- Design prompt strategies evaluation and guardrails
- Develop AI agents and agentic systems
- Develop MLOps and LLMOps monitoring and evaluation pipelines
- Implement RAG architectures and pipelines
- Integrate AI systems with enterprise APIs
- Optimize LLM performance with fine tuning and orchestration
- Stay current with generative AI and model architectures
Perks/Benefits
- 401k employer contribution
- Fitness reimbursements
- Free onsite gym
- Health insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Pre-tax commuter benefits
- Professional development assistance
- Tuition reimbursement
- Wellness program
Skills/Tech-stack
API Integration | APIs | AWS | Autogen | Azure | Cloud platform | CrewAI | Embeddings | Evaluation Pipelines | Fine Tuning | Google Cloud | Google Cloud Platform | Guardrails | Hugging Face | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | Model Evaluation | Model Orchestration | Monitoring | NumPy | PEFT | Pandas | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SciPy | Scikit-learn | Semantic Kernel | Vector Databases
Education
Regions
Countries
States
Cities
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