Forward Deployed Engineer - Architect

Position Overview

• Location Preferences: Texas, New Jersey
• Job Type: Full-time
• Salary: Not specified

DevRev's AgentOS is a modern CRM platform built for SaaS companies, designed to connect various teams and users through three distinct applications for support, product, and growth. It aims to streamline operations by reducing the number of business applications and converging teams onto a single platform. Unlike traditional CRMs, DevRev offers a flexible approach to collaboration, AI, and analytics, empowering SaaS companies to enhance product velocity and minimize customer churn. The platform is utilized by thousands of companies that require low-latency analytics and customizable LLMs to succeed in the GenAI era.

Company Information

DevRev is headquartered in Palo Alto, California, with offices in seven global locations. The company has secured $100 million in funding from prominent investors such as Khosla Ventures and Mayfield, achieving a valuation of $1.1 billion. DevRev has also been recognized on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey (former co-founder and CEO of Nutanix) and Manoj Agarwal (former SVP of Engineering at Nutanix), DevRev is dedicated to innovation and assisting companies in the evolving landscape of AI-driven SaaS.

Team

Delta - Applied AI Engineering

Responsibilities

• Design & Deploy AI Agents: Build, configure, and launch intelligent agents using the DevRev platform to address customer challenges.
• Integrate Systems: Connect AI agents with external platforms, including CRMs, APIs, and databases, to automate workflows.
• Optimize Performance: Fine-tune prompts, logic, and agent configurations to ensure accuracy, reliability, and scalability.
• Own Requirements: Collaborate with customers to understand their needs and translate them into technical specifications for agents.
• Prototype & Iterate: Lead live demonstrations, develop rapid proof-of-concepts, and refine solutions based on customer feedback.
• Lead Execution: Establish project plans, coordinate internal teams, and ensure the timely delivery of deployments.
• Advise Customers: Serve as a trusted technical advisor on AI agent architecture, performance, and long-term scalability.

Requirements

• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience: Minimum of 3 years in software development, AI/ML engineering, or technical consulting. Customer-facing experience is considered a plus.
• Coding Skills: Strong proficiency in Python and/or Golang, with a focus on writing clean, maintainable code.
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, and frameworks such as RAG and function calling.
• Cloud & DevOps: Hands-on experience with cloud platforms like AWS, GCP, or Azure, and modern DevOps practices including CI/CD, containers, and observability.
• System Integration: Experience with system integration is required.