Requirements
Proven track record delivering AI or agentic prototypes into production systems. Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques. Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services. Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations. Operational experience managing servers, CI/CD and deployment tooling for ML services. Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.
Description
Job DescriptionThe Agentic AI Developer will lead the translation of agentic research into production-grade components that enhance CRM automation and decisioning. The role requires ownership of end-to-end delivery: designing prototypes, validating behaviours against business metrics, and deploying resilient services that operate under real customer workloads. Success will be measured by increased automation coverage, demonstrable reductions in manual effort, and stable, auditable agent behaviour in production.Key ResponsibilitiesDesign and implement agentic AI features that automate CRM workflows and decision tasks.Develop reliable orchestration layers to coordinate multi-step agent actions and external integrations.Integrate multiple LLM providers and maintain model selection logic to meet latency and cost SLAs.Create evaluation suites and metrics to assess agent correctness, safety and long-term effectiveness.Build monitoring, alerting and runbooks to mitigate failures and unintended behaviours.Collaborate with product managers, platform engineers and support teams to prioritise use cases and measure business impact.Maintain development and testing infrastructure used for agent experimentation and deployment.RequirementsProven track record delivering AI or agentic prototypes into production systems.Substantial experience with Large Language Models and orchestration tooling; familiarity with major providers and fine-tuning techniques.Strong software engineering skills in Python, TypeScript or similar languages and experience building robust APIs and services.Practical experience creating evaluation frameworks, A/B tests and metrics-driven product iterations.Operational experience managing servers, CI/CD and deployment tooling for ML services.Excellent stakeholder communication with an ability to translate technical trade-offs into product decisions.