Senior AI Platform Engineer with LangGraph

Our requirements

• 5+ years of professional Python engineering experience
• Production experience with LangGraph, Strands Agents, or a comparable agent orchestration framework
• Experience deploying and managing applications using AWS Bedrock or AWS Bedrock AgentCore Runtime
• Experience designing, developing, or contributing to internal agent frameworks, SDKs, or platform components
• Experience implementing multi agent coordination patterns including supervisor, swarm, delegation, or hierarchical approaches
• Strong understanding of agent architecture, orchestration, state management, and tool integration concepts
• Experience building cloud native applications and distributed systems on AWS
• Knowledge of software engineering best practices, testing strategies, and version control workflows
• Experience working with REST APIs, integration layers, and scalable backend services

Optional

• Experience working with both LangGraph and Strands as part of a dual framework strategy
• Knowledge of Bedrock AgentCore SDK internals and agentcore.json deployment configurations
• Experience with MCP and A2A protocol implementations
• Experience contributing to open source AI, LLM, or agent framework projects
• Experience implementing observability solutions using OpenTelemetry and AWS Distro for OpenTelemetry
• Familiarity with AWS CloudWatch, AWS X Ray, and AI workload monitoring
• Knowledge of enterprise AI platform architecture and governance practices

Your responsibilities

• Develop and enhance AI platform components, agent frameworks, and reusable SDK capabilities
• Design and implement multi agent orchestration patterns including ReAct, supervisor, hierarchical, and delegation based workflows
• Build integrations between agents, enterprise tools, and external services using MCP, A2A, and function calling approaches
• Develop solutions using LangGraph, including StateGraph, ToolNode, and create_react_agent patterns
• Implement and extend Strands Agents SDK components, including tool integrations and executor capabilities
• Deploy and manage agent workloads using AWS Bedrock AgentCore Runtime
• Design declarative configuration models using YAML driven Pydantic schemas
• Collaborate with platform and architecture teams to establish standards for agent execution and interoperability
• Implement observability capabilities using OpenTelemetry, AWS Distro for OpenTelemetry, AWS CloudWatch, and AWS X Ray
• Contribute to framework design, platform evolution, and engineering best practices
• Support troubleshooting, performance optimization, and operational reliability initiatives

About the project

This is how we organize our work

This is how we work on a project

• documentation
• issue tracking tools
• integration tests
• test automation

What we offer

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) when not involved in a project
• Certification reimbursement (AWS, GCP, Microsoft, etc.)

Development opportunities we offer

• substantive support from technological leaders
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events

DataArt Poland sp. z o.o.