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python typescript rag langchain opensearchπ Description
- Design, build, and improve Cortex: retrieval, docs analysis, workflows
- Develop integrations with Jira, Confluence, Microsoft 365, Slack, and internal systems
- Build and optimize RAG pipelines: ingestion, embeddings, vector search, permissions
- Develop agentic workflows for summarization, ticket updates, and data access
- Define architecture for secure self-hosted, private, or cloud-isolated AI
- Partner with Security/IT/Compliance on governance and secure API access
π― Requirements
- 5+ years of professional software engineering experience
- 2+ years building AI/ML/automation/LLM apps in production
- Strong programming in Python, TypeScript, or both
- Hands-on AI systems using LLMs, RAG, vector databases, embeddings, orchestration
- Experience deploying scalable services in cloud or private infra, preferably AWS
- Strong understanding of security, permissions, identity management, and data governance
π Benefits
- 100% employer-paid health care
- 401k & Retirement Plans
- Weekly Paid Office Lunches
- End of Year Bonuses
- Fully stocked breakrooms
- Stock Options
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