Forward Deployed Engineer responsible for building AI-powered agents and customer service experiences. Engage in end-to-end delivery and continuous iteration within a hybrid working model.
Responsibilities
Partner closely with customer service teams to understand the workflows, pain points, and success metrics
Design and build agent-based systems that automate and augment customer support experiences (chat, voice, ticketing, internal tooling)
Rapidly prototype, test, and deploy AI agents in customer environments (“fail fast, learn faster”)
Own end-to-end delivery: from initial concept → architecture → implementation → deployment → iteration
Build and deploy RAG-based systems, with a strong emphasis on agent orchestration, tool use, and decision-making
Integrate agents with customer systems (CRMs, ticketing platforms, knowledge bases, internal APIs)
Deploy and operate systems in cloud-native environments (primarily AWS)
Work with backend and frontend components to deliver complete customer-facing solutions
Improve reliability, observability, and performance of deployed agent systems
Act as the technical voice in customer conversations, translating requirements into scalable solutions
Requirements
Strong experience as a software engineer, solutions engineer, or forward deployed engineer in customer-facing roles
Proven experience deploying AI agents to production (agent frameworks, orchestration, tool calling, memory, workflows)
Solid understanding of Generative AI systems , including: Retrieval-Augmented Generation (RAG), Agent architectures and evaluation, Prompting, guardrails, and failure handling
Cloud-native development experience, preferably on AWS
Experience designing and operating production systems (monitoring, scaling, reliability)
Comfort working in fast-moving startup environments with ambiguity and tight feedback loops
Strong communication skills and the ability to work directly with customers
Benefits
Direct impact on real customer experiences
Opportunity to shape how AI agents are deployed in the real world
High ownership and visibility
Work on cutting-edge agent architectures in production
Competitive compensation and flexible hybrid work.
Opportunity to work with a multi-cultural and multidisciplinary team of experts
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