D
DevRev
Forward Deployed Engineer
Skills
Google Cloud PlatformSQL QueriesTypescriptPythonGolangAWS LambdaGraphQLData AnalysisAIAWSJavascript
2 months ago
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Important information
Contract type:
Permanent
Location:
Austin, TX, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify need(s) for integration with existing enterprise systems/services, workflow/process automation or customization/enhancement of the DevRev platform capabilities to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals
- Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning the coordination between internal and external stakeholders, and engineering the solution to get the job done
- You are a product expert and will use your application development, and AI/ML skills to ensure our customers get the most out of the DevRev platform
- As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc
- One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures
- You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers’ processes
- 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- Integration: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures
- Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions
- Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution
- Communication and Customer Empathy: Strong written and verbal skills
- Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations
- Design & Deploy AI Agents: Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the DevRev platform to solve real customer problems
- Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms. (Nice to have: Go)
- Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus
- Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability)
- Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures
- Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
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