Software Engineer - Applied AI

Contract type
Ongoing
Work mode
Remote
Experience
Mid-level · 3+ years

Job description

Forward Deployed Engineer at DevRev who works with the pre- and post-sales Customer Experience team to build solutions on the core platform using TypeScript, JavaScript, Python and other languages. The role focuses on building the Knowledge Graph, integrating DevRev with SaaS and non-SaaS systems, and shaping how AI, analytics and workflows are used in customer processes.

At a glance

Work mode
Remote

What you'll do

  • Work directly with customers (30% of the role)
  • Hands-on technical implementation (70-80% of the role)
  • Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows
  • Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow
  • 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 and stakeholder feedback
  • Maintain constant 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 like code repository integrations and advanced configurations
  • Travel up to 30% for on-site implementations, technical workshops, and customer engagements

What we're looking for

  • 3+ 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
  • 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

Nice to have

  • Customer-facing experience

Your team

Customer Experience

Pre- and post-sales Customer Experience team

How to get hired

  1. 1Shortlisted candidates will undergo a Background Verification (BGV); any offer made will be subject to successful completion of the BGV

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About DevRev

Building the future of work with Computer – your AI teammate

DevRev unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work.

Mission

Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems.

Key facts

  • Backed by Khosla Ventures and Mayfield
  • $150M+ raised
  • Trusted by global companies across industries

What they value

  • Be a bridger
  • Care loudly
  • Own the outcome