Job Description

At iDreamCareer, we're on a mission to democratize career guidance for millions of young learners across India and beyond. Technology is at the heart of this mission -- and we're looking for an Engineering Manager who thrives in

high-ownership environments

, thinks with an

enterprising mindset

, and gets excited about solving problems that genuinely change lives.This is not just a management role. It's a chance to

shape the product, scale the platform, influence the engineering culture, and lead a team that builds with heart and hustle.

As a Director of Engineering here, you will:

Lead a talented team of engineers while remaining hands-on with architecture and development. Champion the use of

AI/ML

, LLM-driven features, and intelligent systems to elevate learner experience. Inspire a culture of high performance, clear thinking, and thoughtful engineering. Partner closely with product, design, and content teams to deliver delightful, meaningful user experiences. Bring structure, clarity, and energy to complex problem-solving. This role is ideal for someone who loves

building, mentoring, scaling

, and thinking several steps ahead.

Key ResponsibilitiesTechnical Leadership & Ownership

Lead end-to-end development across backend, frontend, architecture, and infrastructure in partnership with product and design teams. Stay hands-on with the

MERN stack

,

Python

, and

AI/ML technologies

, while guiding and coaching a high-performance engineering team. Architect, develop, and maintain

distributed microservices

,

event-driven systems

, and robust APIs on AWS.

AI/ML Engineering

Build and deploy

AI-powered features

, leveraging LLMs, RAG pipelines, embeddings, vector databases, and model evaluation frameworks. Drive prompt engineering, retrieval optimization, and continuous refinement of AI system performance. Champion the adoption of modern AI coding tools and emerging AI platforms to boost team productivity.

Cloud, Data, DevOps & Scaling

Own deployments and auto-scaling on AWS (ECS, Lambda, CloudFront, SQS, SES, ELB, S3). Build and optimize real-time and batch data pipelines using

BigQuery

and other analytics tools. Implement CI/CD pipelines for Dockerized applications, ensuring strong observability through

Prometheus, Loki, Grafana, CloudWatch

. Enforce best practices around security, code quality, testing, and system performance.

Collaboration & Delivery Excellence

Partner closely with product managers, designers, and QA to deliver features with clarity, speed, and reliability. Drive agile rituals, ensure engineering predictability, and foster a culture of ownership, innovation, and continuous improvement

Required Skills & Experience

8-12 years

of experience in full-stack or backend engineering with at least

5+ years leading engineering teams

. Strong hands-on expertise in the

MERN stack

and modern JavaScript/TypeScript ecosystems.

5+ years

building and scaling production-grade applications and distributed systems.

2+ years

building and deploying

AI/ML products

-- including training, tuning, integrating, and monitoring AI models in production. Practical experience with

SQL, NoSQL, vector databases

, embeddings, and production-grade

RAG systems

. Strong understanding of

LLM prompt optimization

, evaluation frameworks, and AI-driven system design. Hands-on with AI developer tools, automation utilities, and emerging AI productivity platforms.

Preferred Skills

Familiarity with

LLM orchestration frameworks

(LangChain, LlamaIndex, etc.) and advanced tool-calling workflows. Experience building

async workflows

, schedulers, background jobs, and offline processing systems. Exposure to modern

frontend testing frameworks

, QA automation, and performance testing.
Job Types: Full-time, Permanent

Pay: ?4,000,000.00 - ?5,500,000.00 per year

Benefits:

Health insurance Paid time off Provident Fund
Work Location: In person