Overview

Senior Full-Stack AI Engineer (Agentic AI) (Bengaluru)

Responsibilities

• 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),
• 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,

Qualifications

• Were looking for an experienced engineer who has worked on production systems and enjoys solving practical problems with AI. Youve 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.
• 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 thats easy to extend and operate.
• Learn quickly when things are unfamiliar by prototyping, then hardening and documenting what you ship.
• Bonus (not required):
• 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 thats still evolving. Were 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 Advantages

Benefits

• Fully remote, async-friendly working
• Supportive, low-ego engineering culture
• 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
• Technical Interview (60 mins) Architecture, design choices, and real scenarios
• Practical Exercise + Discussion (60 mins) A small task related to the role
• If youre interested in building and shaping real systems in a growing product company, at the forefront of AdTech innovation, wed love to hear from you.
• We will process your personal data in accordance with our Recruitment Privacy Notice: https://pubx.ai/privacy/recruitment/ .