Related skills
docker aws python kubernetes typescript📋 Description
- Design and build LLM-powered apps for internal automation
- Build and maintain AI integration pipelines with HRIS, ticketing, CRM, and knowledge bases
- Develop full-stack AI features across backend and frontend
- Architect and manage CI/CD pipelines for AI systems
- Implement RAG and retrieval systems grounded in internal data
- Evaluate and fine-tune foundation models; prompt engineering
🎯 Requirements
- 3+ years software eng; 2+ years AI/ML in production
- Deep expertise with LLMs (OpenAI, Anthropic, Mistral, Llama)
- Python (FastAPI/Flask/Django) and TypeScript/JavaScript
- CI/CD pipelines (GitHub Actions/Jenkins/CircleCI)
- RAG and vector DBs (Pinecone, Weaviate, pgvector)
- Cloud (AWS/GCP/Azure); Docker/Kubernetes; Terraform/Pulumi
- Prompt engineering and LLM observability (LangSmith, Weights & Biases)
🎁 Benefits
- Generous benefits including health, welfare, wellbeing
- Accommodations available during hiring and employment
- Equal opportunity and non-discrimination policy
- Opportunity to work on high-impact AI at scale
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