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docker python kubernetes langchain langgraph📋 Description
- Lead design, build, and deployment of AI-powered apps.
- Design end-to-end AI systems: data ingest, prep, inference.
- Deploy models to production with AWS/GCP/Azure; Docker/Kubernetes.
- Collaborate with engineers and PMs to integrate AI into product.
- Fine-tune open-source models for latency and cost.
🎯 Requirements
- 5+ years of software engineering experience.
- Strong Python or other AI language (Scala/JS/Java).
- Transformer architectures, embeddings, vector search.
- Experience with LLM APIs (OpenAI, Anthropic, Vertex AI).
- Hands-on with LangChain and LangGraph.
- Vector DBs and SQL/NoSQL databases.
- Cloud platforms, AWS or GCP.
- RAG, few-shot prompting, and fine-tuning.
- Git and CI/CD practices.
🎁 Benefits
- Exposure to high-profile SV startups and enterprises.
- Competitive salary.
- Fully remote with flexible hours.
- Flexible paid time off.
- Profit-sharing program.
- Healthcare.
- Parental leave.
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