Why This Job is Featured on The SaaS Jobs
Forward Deployed Engineer roles sit at a key junction in modern SaaS: turning a configurable platform into real, production outcomes inside customer environments. In an AI native CX product, that work is especially relevant because deployments often involve workflow design, safety guardrails, and integrations across the systems that run support and sales operations. The remit signals a SaaS company focused on enterprise adoption, where implementation quality directly shapes retention and expansion.
For a long term SaaS career, this kind of position builds leverage across product, engineering, and go to market without being purely pre sales. Owning discovery through launch and optimisation develops strong instincts for measurable outcomes, instrumentation, and iteration cycles that are common in subscription software. Experience integrating with CRMs, ticketing, telephony, and data platforms also transfers well across many B2B SaaS categories.
This role tends to suit engineers who prefer customer proximity and practical problem solving over narrow feature ownership. It fits professionals comfortable balancing hands on building with structured communication, documentation, and stakeholder management. The remote setup paired with EST hour alignment also points to someone who can operate independently while collaborating across time zones.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About Level AI - Level AI is transforming how enterprises understand and engage with their customers. Our AI-native CX platform combines conversation intelligence, real-time agent guidance, and AI Virtual Agents to help brands deliver exceptional customer experiences at scale.Leading enterprises use Level AI to automate routine interactions, coach agents in real time, and unlock insights from customer conversations across voice, chat, email, and messaging channels.Backed by Battery Ventures, ENIAC, and leading AI operators from Amazon Alexa, Google, and Meta, we are building the future of customer experience powered by agentic AI and specialized language models (SLMs).At Level AI, we operate with urgency, ownership, and a deep customer-first mindset. We value builders who move fast, think clearly, and obsess over delivering measurable impact for customers.
About the Role - As a Forward Deployed Engineer - Agents, you will lead the end-to-end implementation of AI Virtual Agents and CX automation workflows for customers.This is a highly technical, customer-facing role where you will translate business requirements into production-ready agent deployments that drive measurable impact — including containment, resolution speed, customer satisfaction, and operational efficiency.You will partner with customers and internal teams to define success, execute builds, and influence the evolution of Level AI’s agentic platform based on real-world needs.This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical solutions, and balances hands-on execution with structured problem-solving.
In This Role, You Will -
- Own end-to-end execution of AI agent deployments from discovery and scoping through launch and optimization.
- Configure agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes.
- Implement guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance.
- Build, test, and validate integrations with enterprise systems (e.g., CRM, ticketing, telephony, data platforms).
- Partner with customer technical stakeholders to define success criteria, gather requirements, and deliver against timelines.
- Translate customer needs into clear implementation plans and documentation.
- Run tight feedback loops with Engineering and Product to improve platform capabilities.
- Collaborate with Product, Engineering, Design, and GTM teams to deliver repeatable, best-in-class deployments.
Your Background Looks Something Like This -
- 5+ years in a technical customer-facing role (Solutions Engineering, Forward Deployed Engineering, Implementation Engineering, Technical Consulting, Technical PM, or similar).
- Strong technical foundation - comfortable coding, working with APIs, and building integrations end-to-end.
- Experience delivering production-grade enterprise solutions requiring testing, validation, and iteration.
- Ability to communicate with senior technical stakeholders and translate requirements into execution plans.
- Comfortable operating in fast-moving, ambiguous environments.
- Confortable working in EST hours(3:30 AM IST)
Even Better If You Have -
- Experience building with LLMs or AI agents (prompting, evaluation, guardrails, workflow design).
- Experience integrating enterprise SaaS systems (CRM, ticketing, data pipelines) with attention to security and compliance.
- Computer Science, Engineering, or Math degree (or equivalent experience).
- Strong product instincts - ability to define success metrics and contribute customer insights to product evolution.
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