What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Significant senior-level engineering experience with at least 8 years commercial experience
- Experience designing and building agentic platforms using Python and modern AI frameworks
- Experience architecting LLM orchestration with LangGraph CrewAI AutoGen or similar technologies
- Experience implementing multi-agent systems with tool use workflow orchestration memory and decision-making
- Experience designing and deploying RAG pipelines using enterprise data sources
- Experience integrating platforms with APIs data platforms cloud services and enterprise applications
- Ability to configure Kubernetes and deploy workloads
- Ability to design deployment architectures across cloud on-premise and hybrid environments
- Ability to collaborate effectively with technical and non-technical stakeholders
- Strong consulting experience delivering complex client engagements
Nice to have
- Golang experience
- React experience
- Kubernetes depth
Day to day
- Build, implement, and deploy agentic platforms within client environments.
- Develop scalable AI-driven solutions that operationalise LLM-powered agents across products processes and teams.
- Work closely with client stakeholders technical leaders and delivery teams to integrate agentic capabilities with enterprise systems and frameworks.
Hiring process
- Talent Call via Zoom
- Technical Assessment via Zoom live coding challenge
- Hiring Manager Interview via Zoom
- Additional client interview may be required