Python Engineer (with LangGraph)

Intellias; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work schedule

Quarterly bonus

Birthday/wedding/childbirth gifts

Online learning accounts (Coursera/UdR

Corporate language school

Job summary

Intellias seeks a Python Engineer to build and maintain stateful AI agent workflows using LangGraph. You will design graph-based orchestration and handle checkpointing, HITL interactions, and observability across agent execution paths.

The role demands strong Python expertise with LangGraph or LangChain experience and a solid understanding of asynchronous distributed workflow design. You will implement tests, tracing with OpenTelemetry, and collaborate with core platform teams on scalable AI

Qualifications

• Strong Python development experience (4+ years).
• Experience with LangGraph or LangChain.
• Knowledge of asynchronous workflows (asyncio).
• Experience with OpenTelemetry tracing.

Responsibilities

• Design and implement AI agent workflows using LangGraph and Python.
• Build graph-based orchestration with nodes, edges, state transitions.
• Implement workflow checkpointing and recovery with SQLite/Redis/PostgreSQL.
• Develop HITL workflows for approvals, escalation and intervention scenarios.
• Design resilient execution patterns including retries, timeouts, fallbacks.
• 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 and state transitions.
• Contribute to engineering standards and best practices around agent orchestration and workflow management.

Skills

Python

LangGraph

LangChain

Asyncio

OpenTelemetry

Distributed workflows

Tools

SQLite

Redis

PostgreSQL

AWS Bedrock

Job description

We are looking for a Python Engineer to build and maintain stateful AI agent workflows using LangGraph. The role focuses on workflow orchestration, checkpointing, human-in-the-loop interactions, resilience patterns, and observability across agent execution paths. The ideal candidate has strong Python expertise, hands‑on experience with LangGraph or LangChain, and a solid understanding of asynchronous and distributed workflow design.

Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced‑Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game‑changing IoT product on the margin of innovative consumer experience and cutting‑edge technology. Our teams are involved in the engineering of core platform components for best‑in‑class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of 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 (HITL) 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 around agent orchestration and workflow management.

Qualifications

• Python (LangGraph nodes, edges, graphs)
• Checkpointing with LangGraph (SQLite, Redis, Postgres checkpointers)
• HITL workflow implementation
• Retry, timeout, fallback patterns in LangGraph
• OpenTelemetry tracing across orchestration steps
• Experience:4+ years Python development
• LangGraph or LangChain agent orchestration
• Async Python (asyncio)
• Will be a plus:AWS Bedrock integrationMulti-agent workflow testingLangSmith trace visualization

Perks and Benefits

• Flexible work schedule.
• Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract.
• Present on the occasion of birthday, wedding, child birth.
• E-learning accounts for Coursera, O'Relly, Udemy.
• Corporate language school.