Senior Forward Deployed Engineer

Role Overview

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• 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.
• 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.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

Requirements

• 6+ years in software development, systems integration, or platform engineering.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

Tech Stack

• AWS
• Cloud
• GraphQL
• JavaScript
• Python
• SQL
• TypeScript
• Go

Benefits

• Background Verification (BGV)
• Professional development opportunities