Lead the implementation of AI Virtual Agents and CX automation workflows, gathering requirements, building integrations, and optimizing customer outcomes.
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.
Top Skills
APIs
CRM
Data Platforms
Enterprise Systems
Telephony
Ticketing
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and execute strategies to drive adoption of Jira Service Management in India, working with cross-functional teams to ensure customer satisfaction and retention.
Top Skills:
ItilItsmJira Service Management
Artificial Intelligence • Productivity • Software • Automation
The Manager, Sales Assist will lead a team to drive sales and customer growth, coach representatives, and engage with clients using data-driven strategies.
Top Skills:
GongHubspot
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Develop and maintain internal tools using Python or Golang, manage critical services, oversee hybrid cloud infrastructure, and lead migration projects.
Top Skills:
AnsibleGoPuppetPythonRedhat OpenstackVMware
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.



