Senior Principal Engineer-I

DTDL group.; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

DTDL group. is seeking a Senior Principal Engineer – Backend & AI to lead architecture, design, and development of scalable backend platforms with AI-powered innovation.

This hands-on leadership role includes defining engineering strategy, mentoring senior engineers, and building cloud-native distributed systems integrated with modern AI technologies. The ideal candidate combines deep backend expertise with experience building production AI/LLM applications and driving architectural decisions

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 12-18+ years of software engineering experience.
• 5+ years leading architecture for large-scale backend systems.
• Experience leading engineering teams across multiple products.
• Strong system design and distributed systems expertise.
• Experience building AI-enabled enterprise applications.

Responsibilities

• Define long-term technical architecture and engineering roadmap.
• Lead the design of highly scalable distributed systems.
• Establish engineering best practices across architecture, coding, testing, security, and DevOps.
• Drive technical decisions across multiple teams.
• Mentor Staff and Senior Engineers.
• Review critical architecture and design proposals.
• Lead performance optimization and system reliability initiatives.
• Design microservices-based architectures.
• Build high-performance REST and GraphQL APIs.
• Design event-driven systems using Kafka or similar messaging platforms.
• Develop scalable data processing pipelines.
• Optimize databases for high throughput and low latency.
• Ensure high availability, resilience, and disaster recovery.
• Build production-grade AI applications using LLMs.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Develop AI agents and workflow automation.
• Implement vector search and semantic retrieval.
• Integrate foundation models from OpenAI, Anthropic, Google, or open-source models.
• Evaluate AI model quality, latency, and cost.
• Implement guardrails, prompt engineering, and AI observability.
• Build AI APIs and inference services.

Skills

Backend engineering

Distributed systems

Cloud architecture

AI-enabled applications

Leadership

API design

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Kafka

GraphQL

REST APIs

OpenAI models

Vector search

Job description

Senior Principal Engineer – Backend & AI

We are seeking a Senior Principal Engineer – Backend & AI to lead the architecture, design, and development of highly scalable backend platforms while driving AI-powered product innovation. This is a hands‑on technical leadership role responsible for defining engineering strategy, mentoring senior engineers, and building cloud‑native distributed systems integrated with modern AI technologies. The ideal candidate combines deep backend engineering expertise with practical experience building production AI/LLM applications.

Responsibilities

• Define long-term technical architecture and engineering roadmap.
• Lead the design of highly scalable distributed systems.
• Establish engineering best practices across architecture, coding, testing, security, and DevOps.
• Drive technical decisions across multiple teams.
• Mentor Staff and Senior Engineers.
• Review critical architecture and design proposals.
• Lead performance optimization and system reliability initiatives.
• Design microservices-based architectures.
• Build high-performance REST and GraphQL APIs.
• Design event-driven systems using Kafka or similar messaging platforms.
• Develop scalable data processing pipelines.
• Optimize databases for high throughput and low latency.
• Ensure high availability, resilience, and disaster recovery.
• Build production-grade AI applications using LLMs.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Develop AI agents and workflow automation.
• Implement vector search and semantic retrieval.
• Integrate foundation models from OpenAI, Anthropic, Google, or open-source models.
• Evaluate AI model quality, latency, and cost.
• Implement guardrails, prompt engineering, and AI observability.
• Build AI APIs and inference services.

Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 12-18+ years of software engineering experience.
• 5+ years leading architecture for large-scale backend systems.
• Experience leading engineering teams across multiple products.
• Strong system design and distributed systems expertise.
• Experience building AI-enabled enterprise applications.