Forward Deployed Engineer - Architect
Forward Deployed Engineer - Deployment Architect
Location Preferences: Texas, New Jersey
DevRev
DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform. Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI. Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named 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 continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.
Team: Delta - Applied AI Engineering
What You'll Do:
Design & Deploy AI Agents: Build, configure, and launch intelligent agents using the DevRev platform to solve real customer problems.
Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation.
Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability.
Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications.
Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback.
Lead Execution: Define project plans, align internal teams, and ensure timely delivery of deployments.
Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability.
What You Bring:
Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Experience: 3+ years in software development, AI/ML engineering, or technical consulting. Customer-facing experience a plus.
Coding Skills: Strong proficiency in Python and/or Golang. Clean, maintainable code is your default.
Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, and frameworks like RAG and function calling.
Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability).
System Integration: Comfortable integrating systems via APIs, webhooks, and event/data pipelines.
Data-Driven Mindset: Use A/B testing, telemetry, and metrics to guide decisions and drive improvements.
Communication: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders.
Customer Empathy: A bias for action and a relentless focus on solving problems for customers.
Forward Deployed Engineer - Architect
Forward Deployed Engineer - Deployment Architect
Location Preferences: Texas, New Jersey
DevRev
DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform. Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI. Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named 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 continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.
Team: Delta - Applied AI Engineering
What You'll Do:
Design & Deploy AI Agents: Build, configure, and launch intelligent agents using the DevRev platform to solve real customer problems.
Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation.
Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability.
Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications.
Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback.
Lead Execution: Define project plans, align internal teams, and ensure timely delivery of deployments.
Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability.
What You Bring:
Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Experience: 3+ years in software development, AI/ML engineering, or technical consulting. Customer-facing experience a plus.
Coding Skills: Strong proficiency in Python and/or Golang. Clean, maintainable code is your default.
Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, and frameworks like RAG and function calling.
Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability).
System Integration: Comfortable integrating systems via APIs, webhooks, and event/data pipelines.
Data-Driven Mindset: Use A/B testing, telemetry, and metrics to guide decisions and drive improvements.
Communication: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders.
Customer Empathy: A bias for action and a relentless focus on solving problems for customers.