Join our team<br>

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PubX builds next-generation publisher-first agentic advertising infrastructure. Our AI makes real-time, revenue-critical pricing decisions for digital publishers. Our Bid Intelligence uses machine learning to optimize every programmatic ad auction individually, generating measurable revenue uplift for publishers. We’re currently ranked #5 globally in Prebid Analytics Adapter Rankings, and growing.

Join our team

<html><head></head><body><h3><strong>Why This Role Exists</strong></h3>
<p>PubX builds next-generation publisher-first agentic advertising infrastructure. Our AI makes real-time, revenue-critical pricing decisions for digital publishers. Our Bid Intelligence uses machine learning to optimize every programmatic ad auction individually, generating measurable revenue uplift for publishers. We’re currently ranked #5 globally in Prebid Analytics Adapter Rankings, and growing.</p>
<h3><strong>The problem we’re solving</strong></h3>
<p>Digital publishers leave significant revenue on the table because ad pricing is still largely manual, static or simple rule-based. Every ad impression is unique, but most pricing systems treat them the same. PubX's AI analyzes bid-stream data and historical patterns to arrange optimal deals, in near real-time.<br><br>As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.</p>
<h3><strong>What You’ll Work On<br></strong></h3>
<p><strong>Tech: Python and/or TypeScript, FastAPI/Node, Kafka/SQS, AWS, Terraform/CDK, AI stack</strong></p>
<ul>
<li>Design, build, and maintain backend services and APIs (REST/GraphQL/gRPC) that power agentic AI features and core product workflows i.e. MCP and A2A protocols,</li>
<li>Develop web applications that integrate tightly with ML/LLM-driven systems (streaming UX, feedback capture, citations/grounding, stateful sessions),</li>
<li>Build and operate event-driven components using Kafka and message queues (e.g., SQS/RabbitMQ), design asynchronous workflows for long-running agent jobs,</li>
<li>Deploy and operate services on AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, RDS/DynamoDB, S3), using infrastructure-as-code and secure-by-default patterns,</li>
<li>Improving our reliability, observability, and developer workflows over time, structured logs, metrics, tracing (incl. agent/tool traces), dashboards, alerting, and post-incident reviews.</li>
</ul>
<h3><strong>What We’re Looking For</strong></h3>
<div>We’re looking for an experienced engineer who has worked on production systems and enjoys solving practical problems with AI.</div>
<div>&nbsp;</div>
<div><strong>You’ve likely have:</strong></div>
<ul>
<li>Strong backend engineering fundamentals: API-first design, data modeling, performance, and security considerations.</li>
<li>Comfortable integrating LLM/ML components into product systems (streaming, async jobs, state, caching, evaluation).</li>
<li>Strong hands-on experience with AI-assisted development workflows in a real codebase (not just demos), including using agents to navigate large repos, apply multi-file changes, and iterate via tests.</li>
<li>Experience building distributed systems with event-driven patterns (Kafka/queues).</li>
<li>Hands-on AWS experience with production operations, monitoring, incident response, and cost-awareness.</li>
</ul>
<div><strong>You tend to:</strong></div>
<ul>
<li>Make pragmatic decisions balancing speed, quality, cost, and risk trade-offs.</li>
<li>Communicate technical ideas well in writing and conversation to both technical and non-technical audiences.</li>
<li>Write clean, well-tested code with thoughtful abstractions that’s easy to extend and operate.</li>
<li>Learn quickly when things are unfamiliar by prototyping, then hardening and documenting what you ship.</li>
</ul>
<div>&nbsp;</div>
<div><strong>Bonus (not required):</strong></div>
<ul>
<li>Experience with AdTech or other high volume real-time systems</li>
</ul>
<h3><strong>Who This Role Will Suit</strong></h3>
<div>This role suits engineers who like a mix of autonomy and collaboration, and who are comfortable working in an environment that’s still evolving.</div>
<div>&nbsp;</div>
<div>We’re a distributed team with a growing engineering presence in India, so comfort with async collaboration and clear written communication is important.</div>
<div>&nbsp;</div>
<div>We use agentic coding tools heavily (e.g. Cursor and Claude Code) to plan, scaffold, refactor, and debug production code, while maintaining strong engineering judgment and ownership of outcomes.</div>
<h3><strong>Company Benefits</strong></h3>
<ul>
<li>What We OfferCompetitive salary with meaningful equity</li>
<li>Fully remote, async-friendly working</li>
<li>Supportive, low-ego engineering culture</li>
<li>Budget for learning and professional development</li>
</ul>
<div>
<h3><strong>Interview Process</strong></h3>
<div>Our process is designed to be practical and respectful.</div>
<ul>
<li>CV &amp; Profile Review – Relevant experience and background</li>
<li>Initial Chat (30 mins) – Motivation and role fit</li>
<li>Technical Interview (60 mins) – Architecture, design choices, and real scenarios</li>
<li>Practical Exercise + Discussion (60 mins) – A small task related to the role</li>
</ul>
</div>
<div>If you’re interested in building and shaping real systems in a growing product company, at the forefront of AdTech innovation, we’d love to hear from you.</div>
<div><br>We will process your personal data in accordance with our Recruitment Privacy Notice: https://pubx.ai/privacy/recruitment/</div></body></html>