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DevRev is building Computer, an AI teammate platform that unifies data sources, tools, and workflows into a single AI-ready system. The platform enables real-time insights, proactive suggestions, and agentic actions, extending existing software with AI-native apps that work alongside teams and customers. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev serves global enterprises across industries.
As a Forward Deployed Engineer, you will be a customer-facing technical specialist working 80% directly with pre- and post-sales customers. You will spend 70-80% of your time on hands-on technical implementation, designing and deploying AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks.
Key responsibilities include:
- Building and deploying solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customers' tech stacks and workflows.
- Systems integration: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
- AI optimization: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
- Data insights: Write SQL queries, perform data analysis, and build dashboards to surface insights driving customer decision-making.
- Rapid prototyping: Develop proofs-of-concept, conduct live technical demos, and refine solutions based on customer feedback.
- Cross-functional collaboration: Maintain communication loops with customers, engineering, product, customer success, support, and revenue teams.
- Technical guidance: Master new tools and guide customers through critical workflows like code repository integrations and advanced configurations.
- Travel: Willingness to travel up to 80% for on-site implementations, technical workshops, and customer engagements.
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 concise, well-structured documentation
- Strong written and verbal communication skills to articulate technical concepts to engineers, product teams, and business stakeholders
