Tasks:
- * Build AWS AgentCore and LangGraph components
- * Build low code automations
- * Debug production AI failures
- * Demo solutions to stakeholders
- * Design robust AI solutions
- * Evaluate and test retrieval systems
- * Guide developers through implementation and code reviews
- * Identify and escalate architectural risks
- * Maintain stakeholder updates and escalate issues
- * Make technical decisions during development
- * Monitor performance reliability and cost
- * Scale proof of concepts to production
- * Support feasibility analysis and proof-of-concept builds
- * Translate architecture into implementation plans
- * Translate workflows into AI requirements
Perks/Benefits:
- + Employee incentive programs
- + Flexible vacation
- + Flexible work arrangements
- + Headspace app access
- + Hybrid work
- + Mental health days
- + Paid volunteer days
- + Retirement savings
- + Tuition reimbursement
- + Work from anywhere up to 8 weeks per year
Skills/Tech stack required:
[A2A protocols] [Agent to Agent] [Agent to Agent A2A] [Agent-to-Agent (A2A) protocols] [Amazon Bedrock] [Asynchronous programming] [AWS AgentCore] [CI/CD] [Claude] [Claude Code] [Cline] [Copilot Studio] [Cursor] [Gemini] [GitHub Copilot] [Hybrid search] [Langchain] [Langfuse] [Langgraph] [Langsmith] [Llama] [Microsoft Copilot] [Microsoft Copilot Studio] [Microsoft Power] [Microsoft Power Automate] [Model Context Protocol] [Model Context Protocol MCP] [NL-to-SQL] [OpenAI] [Power Automate] [Protocol MCP] [Python] [Query Reformulation] [Ragas] [Reranking] [REST APIs] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [Snowflake] [SQL] [TruLens]
Educational requirements:
N/A
Role(s):
[AI Solutions Lead] [Automation and AI Solutions Lead] [Lead] [Solutions Lead]