Senior Agentic AI Engineer - Crossplane and LangGraph
We're looking for a Senior Agentic AI Engineer - Crossplane and LangGraph to join our team in Cyprus in a hybrid working mode. In this role, you will shape the architecture and execution of an enterprise-grade Agentic AI Hosting Platform leveraging LangGraph. Your work will directly impact how AI systems operate in complex multi-agent environments, enabling scalable, secure and compliant solutions for enterprise clients. This is a unique opportunity to define engineering standards and lead the technical direction for next-generation AI platforms.
Responsibilities
- Lead the architecture and implementation of an enterprise-ready agentic AI hosting platform built on LangGraph
- Design and develop complex multi-agent workflows, including stateful agent graphs and conditional routing strategies
- Drive technical decisions on agent lifecycle operations, including runtime environments, observability pipelines and gateway configurations
- Implement persistence and memory layers for long-running workflows across distributed environments
- Oversee migration of existing AI/ML workloads to the LangGraph-based platform while maintaining enterprise guardrails
- Collaborate with security and governance teams to ensure compliance throughout migration and post-launch phases
- Identify and remediate vulnerabilities uncovered during migration security reviews
- Plan and coordinate migration waves, dependencies and cutover activities
- Establish best practices for agentic AI development and ensure their adoption across teams
- Mentor engineers, providing technical leadership and support
Requirements
- 6+ years of software or ML engineering experience, including 2+ years in a senior or lead role using Python
- Deep expertise with LangGraph (graph construction, node/edge design, state management) and strong knowledge of multi-agent architectures, supervisor patterns, and inter-agent communication
- Experience building human-in-the-loop workflows and robust long-running agent execution patterns
- Familiarity with the LangChain ecosystem, tools, retrievers, memory modules and LLM integrations
- Proficiency in AWS services (Lambda, ECS/EKS, API Gateway, CloudWatch, IAM)
- Experience with containerization (Docker/Kubernetes) and IaC tools (Terraform, CDK, CloudFormation)
- Knowledge of migration strategies for AI/ML workloads and dependency analysis
- Exposure to CI/CD pipelines and observability tools in cloud environments
- Understanding of compliance-driven delivery models and coordination with InfoSec and architecture stakeholders
- Hands-on experience with Crossplane for Kubernetes-native infrastructure provisioning and control planes
Nice to have
- Experience with LangGraph Platform or LangSmith for agent observability and deployment
- Familiarity with AWS Bedrock and foundational model integrations
- Background in LLM fine-tuning, RAG pipelines or embedding-based retrieval techniques
- Prior experience in AI migrations within regulated environments
- Knowledge of cost optimization for hosted AI/ML services
- Bash scripting and contributions to open-source AI/ML or LangChain/LangGraph projects
