About
Intellias helps clients engineer software ecosystems, including core platform components for eCommerce, digital marketing, and IoT solutions. Its platform provides services and technologies that help engineering teams develop and operate applications while addressing common SDLC challenges and ensuring compliance and best practices.
Responsibilities
•Design and implement AI agent workflows using LangGraph and Python
•Build and maintain graph-based orchestration logic using nodes, edges, and state transitions
•Implement workflow checkpointing and recovery mechanisms using SQLite, Redis, or PostgreSQL backends
•Develop human-in-the-loop workflows for approval, escalation, and intervention scenarios
•Design resilient execution patterns, including retries, timeouts, fallback handling, and failure recovery
•Develop asynchronous workflow execution using Python asyncio
•Implement OpenTelemetry tracing across orchestration layers and workflow steps
•Troubleshoot workflow execution issues and optimize performance, reliability, and observability
•Collaborate with platform and AI engineering teams to build scalable agent-driven solutions
•Create automated tests for workflow reliability, state transitions, and recovery scenarios
•Contribute to engineering standards and best practices for agent orchestration and workflow management
Requirements
•4+ Years of Python development experience
•Experience with LangGraph or LangChain agent orchestration
•Experience with asynchronous Python and asyncio
•Knowledge of LangGraph nodes, edges, and graphs
•Experience with LangGraph checkpointing using SQLite, Redis, or PostgreSQL checkpointers
•Experience implementing human-in-the-loop workflows
•Knowledge of retry, timeout, and fallback patterns in LangGraph
•Experience with OpenTelemetry tracing across orchestration steps
Nice to have
•AWS Bedrock integration
•Multi-agent workflow testing
•LangSmith trace visualization
Conditions
No conditions specified in the vacancy.
