DevRev

Integrates data engineering with GenAI solutions

Software Engineer - Applied AI

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeRemote in PhilippinesNo salary listed

About the Job

Requirements

At least 3 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 for agentic AI solutions.
Experience with large-scale one-way and two-way data synchronization, REST and GraphQL API integration patterns, webhooks, and event-driven or publish/subscribe architectures.
Hands-on experience deploying on serverless and edge platforms, including AWS Lambda and Google Cloud Functions, using modern DevOps practices such as continuous integration and continuous delivery, containers, and observability.
Skill in data mapping, schema alignment, and working with heterogeneous systems; understanding of data modeling and graph data structures.
Experience implementing logging, actionable error surfacing, and telemetry to support debugging and issue resolution.
Familiarity with Model Context Programming for building adaptive, context-aware integrations.
A track record of triaging and unblocking technical and non-technical blockers to keep projects moving forward.
Experience writing concise, well-structured documentation that supports team understanding and onboarding.
Strong written and verbal communication skills to explain technical concepts to engineers, product teams, and business stakeholders.
Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.
Shortlisted candidates must undergo a background verification; an offer is subject to successful completion.

Responsibilities

Develop solutions on the core platform through applications written in TypeScript, JavaScript, Python, or similar languages.
Build the Knowledge Graph by integrating DevRev with SaaS and non-SaaS systems through webhooks, APIs, and real-time communication architectures.
Ideate and shape how AI, analytics, and workflows are used in customer processes.
Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer technology stacks and workflows.
Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures to enable data flow.
Apply prompt engineering, fine-tune semantic search engines, and use generative AI techniques to improve agent accuracy and user experience.
Write SQL queries, perform data analysis, and build dashboards to surface insights for customer decision-making.
Develop rapid proofs of concept, conduct live technical demonstrations, and refine solutions based on customer and stakeholder feedback.
Maintain communication with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
Learn new tools and guide customers through workflows such as code repository integrations and advanced configurations.
Work directly with customers for approximately 30% of the role and perform hands-on technical implementation for 70–80% of the role.

Desired Qualifications

Customer-facing experience is a plus.
Experience with Go is a nice to have.

About DevRev

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer 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. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the Role:

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.

What You'll Do:

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.

What You Bring:

Experience: 3+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
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.
Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
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.
Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

How do we work?
Whatever your role, our values describe what we ask of each other.

Be a bridger
Look beyond your own role. Ask questions, share context and help others get unstuck. That may mean bringing the right people together or picking up a problem that doesn’t necessarily fit neatly into your job description.

Care loudly
We want your perspective, not just your agreement. Speak up when something isn’t working or someone needs support. Give honest feedback with respect for the person receiving it. Don’t let an uncomfortable conversation become an unspoken problem.

Own the outcome
Take responsibility for the result, not just your part in the process. Use AI to move the work forward, not to outsource your judgment. Make the call, check whether it worked and change course when it didn’t. If something goes wrong, own it and help fix it.

That’s DevRev!

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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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