Senior AI Engineer
Tasks
- Architect and optimize RAG pipelines
- Design and implement AI evaluation frameworks
- Drive prompt engineering strategy
- Lead end to end design and delivery of production LLM applications
- Lead model fine tuning and adaptation
- Mentor AI engineers through design reviews and code reviews
- Own and evolve AI infrastructure
Perks/Benefits
- Discounted WGU tuition
- Flexible paid time off
- Flexible spending account
- Health savings account
- Medical dental vision telehealth and mental healthcare
- Paid Holidays
- Parental leave
- Retirement savings plan
- Wellbeing program
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Autogen | Automated testing | CI/CD | CrewAI | Databricks | Embeddings | Fine Tuning | Hugging Face | LLM Evaluation | LLM-as-judge | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | Memory Architecture | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Ollama | PEFT | Prompt engineering | Python | RAG pipeline | RLHF | Re-ranking | Red Teaming | Retrieval-Augmented Generation | Tool use | VLLM | Vector Search
Education
N/A
Roles
Regions
Countries
States
Cities
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