You will design, build and maintain production features, services, integrations and workflow automations for internal enterprise applications.
You will manage, making sound trade-offs across quality, maintainability, security, reliability, cost and delivery speed.
You will contribute to reusable foundations for agentic applications, including APIs, data access, identity, permissions, auditability, human escalation and operational guardrails.
...
Design, develop, deploy, and maintain AI Agents to automate business workflows and operational processes.
Build internal AI assistants capable of handling business tasks such as document processing, knowledge retrieval, customer support, reporting, and workflow orchestration.
Integrate Large Language Models (LLMs) into business applications to enhance productivity and decision-making.
...
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded
...