Forward Deployed Engineer
About the role
The Forward Deployed Engineer will work closely with the post-sales Customer Experience team to help customers unlock value through AI. Key responsibilities include designing and deploying intelligent agents, automated workflows, and integrations that transform how customers operate. This role requires a strong understanding of customer needs, ownership of coordination between internal and external stakeholders, and the ability to engineer solutions to meet customer goals.
What You’ll Do
Customer-Facing: 30% working directly with customers
Coding & Integration: 70–80% hands-on technical implementation
Build & Deploy
Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer environments
Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow
Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience
Data & Insights
Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making
Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback
Collaboration & Enablement
Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, and customer success teams
Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows
Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements
What You Bring
Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms
Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
Qualifications
Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms
Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
Skills
Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms
Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
Benefits
Comprehensive health insurance
Flexible vacation policy
Professional development opportunities
Work-life balance initiatives
Pay
$100,000 - $120,000 annually
Schedule
Full-time, remote position