AI Engineer - L4

What You’ll Do

• System Ownership: Design, develop, and own scalable backend services and high-performance APIs for enterprise AI applications.

• Production-Grade AI Systems: Develop robust backend architectures integrating Large Language Models, vector databases, retrieval systems, and external APIs.

• Agent & RAG Infrastructure: Build and optimize backend infrastructure powering AI agents, RAG pipelines, and enterprise automation workflows.

• Architecture & Reliability: Make key architectural decisions, troubleshoot complex technical challenges, and continuously improve system scalability, monitoring, and performance.

• Leadership & Mentorship: Lead technical discussions, collaborate across AI/ML and product teams, and mentor junior engineers while fostering engineering excellence.

What We’re Looking For

• Senior Backend Expertise: 5+ years of backend software engineering experience with strong proficiency in Python and modern frameworks like FastAPI, Flask, or Django.

• System Design & Databases: Deep understanding of database design, data modeling, microservices, and distributed systems architecture.

• Generative AI Systems: Hands-on experience building Generative AI applications, LLM integrations, RAG architectures, or agentic frameworks.

• Engineering Standards: Proven track record writing clean, maintainable, and testable code following enterprise-grade engineering best practices.

• Problem-Solving & Ownership: Strong analytical skills and the ability to work independently in a fast-paced environment while translating business needs into technical solutions.

Why Join Us

• Cutting-Edge AI Systems: Work on high-stakes, genuine AI engineering problems and build architectures powering Fortune 100–1000 organizations.

• Architectural Leadership: Opportunity to shape platform architecture, set engineering standards, and influence core product strategy from an early stage.

• Core Engineering Ownership: Be a key engineering leader in our Bangalore hub, collaborating with global AI leaders backed by top-tier investors.

This AI Engineer role focuses on backend systems for enterprise AI applications, including LLM integrations, retrieval-augmented generation, and AI agents. It combines hands-on service development with architectural decisions, reliability improvements, technical collaboration, and mentoring.

Role at a glance

Skills mentioned

What you will likely work on

• Design and develop backend services and APIs for enterprise AI applications.
• Integrate LLMs, vector databases, retrieval systems, and external APIs into production architectures.
• Build and improve infrastructure for AI agents, RAG pipelines, and enterprise automation.
• Make architectural decisions and address complex technical problems.
• Improve system scalability, monitoring, reliability, and performance.
• Write clean, maintainable, testable code to enterprise engineering standards.
• Collaborate with AI/ML and product teams, lead technical discussions, and mentor junior engineers.
• Translate business needs into technical solutions.

Good fit signals

• You bring at least five years of backend software engineering experience and strong Python proficiency.
• You have hands-on experience building generative AI applications, LLM integrations, RAG architectures, or agentic frameworks.
• You understand database design, data modeling, microservices, and distributed systems architecture.
• You can work independently, solve analytical problems, and translate business needs into technical solutions.
• You are comfortable shaping architecture, collaborating across teams, and mentoring junior engineers.