Senior Full-Stack AI Engineer

pubX; Bengaluru; Hybrid; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary with meaningful equity

Budget for learning and professional development

Job summary

pubX in Bengaluru, Karnataka, is searching for an experienced engineer to develop backend systems for our innovative ad tech platform. The ideal candidate has a strong background in backend engineering and AI workflows, and is comfortable in a hybrid work environment.

You will work on critical backend services, focusing on AI-driven ad decision-making to optimize revenue for digital publishers. A collaborative spirit and the ability to communicate technical concepts clearly are essential.

Qualifications

• Experience with backend engineering and production systems.
• Strong hands-on experience with AI-assisted development workflows.
• Comfortable integrating ML components into product systems.

Responsibilities

• Design, build, and maintain backend services and APIs.
• Develop web applications integrating with ML/LLM-driven systems.
• Build and operate event-driven components using Kafka.

Skills

Backend engineering fundamentals

API-first design

Python

TypeScript

AWS

Kafka

AI-assisted development

Job description

NOTE: This is a Hybrid / On-Site Role in the Bengaluru, Karnataka, India

Why This Role Exists

PubX builds next-generation publisher-first agentic advertising marketplace infrastructure. Our AI makes real-time, revenue-critical decisions for digital publishers and Advertisers. Our Bid Intelligence uses machine learning to optimize every programmatic ad auction individually, generating measurable revenue uplift for publishers. We've priced over 1 trillion programmatic auctions, we’re currently ranked #5 globally in Prebid Analytics Adapter Rankings, and growing.

The problem we’re solving

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.

As a founding member of AgenticAdvertising.org, we're building the next generation of autonomous advertising infrastructure.

What You'll Work On

Tech: Python and/or TypeScript, FastAPI/Node, Kafka/SQS, AWS, Terraform/CDK, AI stack

• 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,
• Develop web applications that integrate tightly with ML/LLM-driven systems (streaming UX, feedback capture, citations/grounding, stateful sessions), LangChain, LangGraph,
• Build and operate event-driven components using Kafka and message queues (e.g., SQS/RabbitMQ), design asynchronous workflows for long-running agent jobs,
• 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,
• Improving our reliability, observability, and developer workflows over time, structured logs, metrics, tracing (incl. agent/tool traces), dashboards, alerting, and post-incident reviews.

What We’re Looking For

We’re looking for an experienced engineer who has worked on production systems and enjoys solving practical problems with AI.

You’ve likely have:

• Strong backend engineering fundamentals: API-first design, data modeling, performance, and security considerations.
• Comfortable integrating LLM/ML components into product systems (streaming, async jobs, state, caching, evaluation).
• 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.
• Experience building distributed systems with event-driven patterns (Kafka/queues).
• Hands‑on AWS experience with production operations, monitoring, incident response, and cost‑awareness.

You tend to:

• Make pragmatic decisions balancing speed, quality, cost, and risk trade-offs.
• Communicate technical ideas well in writing and conversation to both technical and non-technical audiences.
• Write clean, well-tested code with thoughtful abstractions that’s easy to extend and operate.
• Learn quickly when things are unfamiliar by prototyping, then hardening and documenting what you ship.

Bonus (not required):

• Experience with AdTech or other high volume real-time systems

Who This Role Will Suit

This role suits engineers who like a mix of autonomy and collaboration, and who are comfortable working in an environment that’s still evolving.

We’re a distributed team with a growing engineering presence in India, so comfort with async collaboration and clear written communication is important.

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.

Company Benefits

• Competitive salary with meaningful equity
• Fully remote, async-friendly working
• Budget for learning and professional development

Interview Process

Our process is designed to be practical and respectful.

• CV & Profile Review – Relevant experience and background
• Initial Chat (30 mins) – Motivation and role fit
• Architecture Interview (60 mins) – Architecture, design choices, and real scenarios
• Agentic Coding Exercise (60 mins) – A small task related to the role, executed by agents

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.

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