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Software Engineer – Applied AI

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Remote from
Philippines
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
17 Nov 2026
Listing views
28
Application actions
3
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AI Summary

The role, at a glance.

DevRev is hiring a customer-facing Forward Deployed Engineer to build and deploy AI-powered integrations, automations, and agentic solutions on its platform. The role is primarily hands-on, with 70–80% focused on coding and integration work using TypeScript, JavaScript, Python, APIs, webhooks, and event-driven architectures. The engineer will apply LLM, RAG, prompt-engineering, semantic-search, SQL, and analytics skills to improve customer workflows and data insights. This position requires close collaboration with customers and internal engineering, product, support, success, and revenue teams, plus up to 30% travel for implementations and workshops. Candidates need at least three years of relevant software, integration, or platform-engineering experience and strong communication skills.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a technically broad applied-AI integration role that combines production engineering, distributed data synchronization, cloud deployment, and customer solution delivery. Success requires rapidly diagnosing ambiguous technical and business problems while communicating effectively with varied stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$45,000
US market range (per year)$30k–$65k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The displayed figures are AI-estimated annual USD compensation for a mid-level, Philippines-based remote forward-deployed/applied AI engineer; the yearly cadence is inferred from the full-time professional role and prevailing market convention.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a reliable two-way synchronization between DevRev and a customer's SaaS platform?

I would first define the source of truth, object mappings, ownership rules, and conflict-resolution policy. I would use webhook or event ingestion where available, durable queues and idempotency keys to safely process retries, and cursor-based reconciliation jobs to detect missed changes. I would also add structured logs, metrics, dead-letter handling, and an operational dashboard for sync health.

Describe how you would evaluate whether an AI agent using RAG is producing useful and accurate answers.

I would create a representative evaluation set from real customer workflows, including expected answers, required citations, and known failure cases. I would measure retrieval quality, groundedness, task completion, latency, and user feedback, then inspect failures by category such as poor chunking, missing context, or incorrect tool use. I would iterate on indexing, metadata filters, prompts, and agent policies while maintaining regression evaluations.

How do you approach explaining a technical integration issue to a non-technical customer stakeholder?

I begin with the business impact, what is happening, and the immediate mitigation in plain language. I avoid unnecessary implementation detail, state any decisions or dependencies clearly, and provide a realistic next-update time. I then document the technical root cause and corrective actions separately for engineering audiences.

What practices would you use to make a serverless integration observable and easy to support?

I would implement structured, correlation-ID-based logging; metrics for throughput, failures, retries, latency, and backlog; and actionable alerts tied to service-level expectations. Error messages should identify the failed customer configuration or payload safely without exposing sensitive data. Distributed tracing, replay tooling, and runbooks would help teams diagnose and recover from incidents quickly.

Tell us how you would prioritize work when a customer implementation is blocked while product and engineering requests are also competing for attention.

I would assess customer impact, urgency, contractual or launch commitments, security risk, and the availability of a workaround. I would communicate the trade-offs and proposed priority to the relevant owners, unblock the highest-impact path first, and break remaining work into clearly owned follow-ups. Throughout, I would keep stakeholders informed and document decisions so priorities remain transparent.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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