• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation • Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams • Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) • Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management • Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) • Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation • Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams • Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) • Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management • Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths • Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) • Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context • Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure • Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes • Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards • Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently.

• Development of AI prototypes, MVPs and production-ready applications • Building RAG systems, chatbot and assistant solutions based on company data • Integration of AI models, APIs, data sources, document stores and vector databases • Development of automations and AI workflows, e.g., using Python, APIs, n8n, Make or agent frameworks • Technical evaluation of use cases regarding feasibility, effort, data requirements, security and operations • Close collaboration with consultants, domain experts and client teams • Documentation of architecture, assumptions, limitations, risks and operational requirements • Contributing to the development of reusable components, templates and technical standards

• You decide when, where, and how you work on projects and tasks. • We match you with work that fits your skills. • Gain more experience and develop various skills. • Have access to various opportunities across different industries and companies. • Be a part of the team with full-time collaboration.