Related skills
docker python kubernetes langchain llamaindex📋 Description
- Embed with internal teams to translate business needs into AI solutions.
- Run AI office hours and lead company hackathons to drive adoption.
- Evaluate, configure, and recommend AI tools and platforms.
- Design and deploy bespoke AI solutions using LLMs, RAG, and automation.
- Create reusable resources: playbooks, prompts, templates, and guides.
- Templetize AI workflows for cross-team deployment.
🎯 Requirements
- 5-7+ years in engineering/enablement roles with deployments.
- 4+ years building AI-centric products (ML, LLMs, RAG, prompts).
- Strong Python with LangChain, LangGraph, LlamaIndex, and OpenAI API.
- Docker, Kubernetes; AWS, GCP, or Azure.
- Proven ability to lead enablement programs and training.
- Excellent communication; translate non-technical needs to technical solutions.
🎁 Benefits
- Fast-paced, collaborative environment.
- Learning and development allowance.
- 100% medical, dental, and vision coverage.
- Up to $25K fertility, adoption, and parental planning reimbursements.
- Flexible PTO policy.
- Monthly wellness stipend and home office stipend.
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