Artificial Intelligence Engineer
Tasks
- Build MCP servers and AI assistants
- Collaborate with business and technology teams
- Design build and deploy LLM powered applications
- Design prompt strategies evaluation frameworks and guardrails
- Develop AI agents and agentic AI systems
- Develop MLOps and LLMOps pipelines for monitoring and evaluation
- Implement retrieval-augmented generation pipelines
- Integrate AI solutions with enterprise APIs and systems
- Keep current with emerging AI advancements
- Optimize LLM performance with fine tuning and prompt engineering
Perks/Benefits
- 401k employer contribution
- Fitness reimbursements
- Health insurance
- Insurance discounts
- Licensure assistance
- LinkedIn Learning
- Matching gifts
- Onsite gym
- Paid Holidays
- Paid parental leave
- Paid time off
- Pre-tax commuter benefits
- Tuition reimbursement
- Wellness program
Skills/Tech-stack
API Development | AWS | Anthropic | Azure | Embeddings | Fine Tuning | Google | Google Cloud | Guardrails | Hugging Face | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | Model Evaluation | Model Orchestration | NumPy | Observability | OpenAI | PEFT | Pandas | Prompt engineering | Python | Retrieval-Augmented Generation | SciPy | Scikit-learn | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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