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DevRev

Integrates data engineering with GenAI solutions

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in software development, systems integration, or platform engineering.
  • A 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.
  • Familiarity with large language models, prompt engineering, retrieval-augmented generation frameworks, function calling, and building evaluations to validate agentic AI solutions.
  • Deep experience with large-scale one-way and two-way data synchronization, API integration patterns including REST, GraphQL, and webhooks, and event-driven or publish/subscribe architectures.
  • Hands-on experience deploying on serverless and edge platforms such as AWS Lambda and Google Cloud Functions, using modern DevOps practices including continuous integration and continuous delivery, containers, and observability.
  • Skill in data mapping and schema alignment, experience working with heterogeneous systems, and 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 for building adaptive, context-aware integrations.
  • A strong track record triaging and unblocking 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 communication skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  • Willingness to travel up to 80% for on-site implementations, technical workshops, and customer engagements.

Responsibilities

  • Work closely with the pre-sales and post-sales Customer Experience team to develop solutions on the core platform using applications written in TypeScript, JavaScript, Python, or other languages.
  • Build the Knowledge Graph by integrating DevRev with SaaS and non-SaaS systems through webhooks, APIs, or real-time communication architectures.
  • Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing technology stacks and workflows.
  • Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures to enable seamless data flow.
  • Apply prompt engineering, fine-tune semantic search engines, and use 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 demonstrations, and refine solutions based on customer and stakeholder feedback.
  • Maintain communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
  • Learn and master new tools, then guide customers through critical workflows such as code repository integrations and advanced configurations.
  • Work directly with customers for approximately 80% of the role and spend 70–80% of the role on hands-on technical implementation.

Desired Qualifications

  • Customer-facing experience is a plus.
  • Go programming language experience is nice to have.

About the Company

DevRev

Integrates data engineering with GenAI solutions

DevRev.ai builds AI-powered data engineering tools to connect data from silos like support, product management, and software development. Its flagship GenAI platform integrates data engineering, knowledge graphs, and customizable language models to automate and streamline business operations. It serves a broad range of clients with tailored AI solutions, charging either one-time project fees or ongoing service subscriptions. The company differentiates itself by offering integrated AI that unifies disparate parts of a business rather than focusing on a single function. The goal is to help organizations improve efficiency and cross-team collaboration through tailored, data-driven AI.

Company size
501-1,000
Company stage
Series A
Total funding
$150.8M
Headquarters
Palo Alto, CA
Founded
2020

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