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DevRev is building Computer, an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform. The company has raised $150M+ from Khosla Ventures and Mayfield and serves global enterprises.
As a Forward Deployed Engineer, you will be a customer-facing technical expert who develops solutions on the DevRev platform. You'll spend approximately 80% of your time working directly with customers and 70-80% on hands-on technical implementation.
Key responsibilities include:
• Design, develop, and deploy AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows
• Build and maintain the Knowledge Graph through integration of DevRev with SaaS and non-SaaS systems via APIs, webhooks, and real-time communication architectures
• Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience
• Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making
• Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer feedback
• Maintain constant communication with customers, engineering, product, customer success, support, and revenue teams
• Guide customers through critical workflows including code repository integrations and advanced configurations
• Travel up to 80% for on-site implementations, technical workshops, and customer engagements
This role sits at the intersection of customer success, sales engineering, and platform development. You'll ideate and shape how AI, analytics, and workflows are applied in customers' processes, working closely with both pre- and post-sales teams.
REQUIREMENTS:
• 5+ years in software development, systems integration, or platform engineering (customer-facing experience is a plus)
• Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
• Strong proficiency in TypeScript/JavaScript and Python; solid understanding of data structures and algorithms (Go is nice-to-have)
• Familiarity with large language models (LLMs), prompt engineering, RAG frameworks, function calling, and building evals for 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 logging, error surfacing, and telemetry for debugging and issue resolution
• Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations
• Strong problem-solving track record triaging and unblocking technical and non-technical blockers
• Experience writing clear, well-structured documentation
• Strong written and verbal communication skills to articulate technical concepts to engineers, product teams, and business stakeholders
