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python kubernetes tensorflow pytorch typescriptπ Description
- Lead the IT GenAI roadmap; build agentic workflows with LangGraph/LangChain/n8n.
- Architect production GenAI systems for scale, latency, cost, governance.
- Mature ElasticGPT to execute tasks and automate processes.
- Design multi-model orchestration and LLM gateway architectures.
- Build data ingestion pipelines across Confluence, Jira, GitHub, ServiceNow.
- Oversee model lifecycle: fine-tuning to APIs on Kubernetes across cloud providers.
π― Requirements
- Advanced agentic expertise; production-grade agents and RAG systems (LangGraph/LangSmith).
- Proficiency in Python and TypeScript; PyTorch, TensorFlow, or HuggingFace Transformers.
- Elasticsearch mastery: ESRE, vector indexing (HNSW), relevance tuning.
- Cloud & scaling: Kubernetes; AWS/Azure/GCP; high-concurrency infra.
- System design: latency, cost, quality across multi-model envs.
- DevOps for models: containerization and deployment automation (CI/CD).
π Benefits
- Competitive pay based on the work.
- Health coverage for you and family in many locations.
- Flexible locations and schedules for many roles.
- Generous vacation days each year.
- Donation matching up to $2000 (local currency equivalent).
- Up to 40 hours per year for volunteer projects.
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