Forward Deployment Engineer - 3

6 hours ago

Bengaluru, IndiaSenior

Responsibilities

Own complex and novel voicebot builds and establish the technical approach for other engineers.
Act as the design authority for customer solution and integration architecture and make feasibility decisions during scoping.
Serve as the technical voice with enterprise customers and during escalations.
Set prompt patterns, evaluation standards, and guardrails for LLM-backed systems.
Architect LLM conversation systems covering orchestration, retrieval, tool use, latency, and failure behavior.
Build reusable connectors, test suites, accelerators, and tooling.
Shape product and engineering roadmaps by converting recurring customer patterns into platform work.
Partner with Product and Engineering on customer-specific enhancements and escalations.
Mentor FDE I and FDE II engineers and raise the team's technical bar.

5+ years of experience, including significant hands-on engineering or forward-deployed work.
Track record of building reusable tooling and accelerators.
Experience leading enterprise implementations end to end.
Strong software engineering background with hands-on Python and/or TypeScript coding.
Experience with LLM application architecture, including orchestration, retrieval-augmented generation, agents, tool calling, evaluation, and guardrails.
Ability to architect integrations across customer communication stacks, including ticketing, CRM, marketing automation, deflection, and contact centre systems.
Deep debugging ability across distributed systems, APIs, and real-time voice or telephony.
Working knowledge of cloud platforms, Linux, SQL, and networking fundamentals.
Ability to work credibly with engineering teams and enterprise customers and handle stakeholder escalations.
Bachelor's or Master's degree in Computer Engineering, Computer Science, or an equivalent computer-related degree.
Experience with LLM application or multi-agent frameworks, contact centre platforms, SIP, VoIP, or WebRTC is preferred.
Experience influencing product roadmaps from the field and exposure to conversational AI platforms are preferred.

501-1,000 employees