Director-Engineering

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 Responsibilities:

Technical 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.

What You'll Love Here:

• The chance to build AI-powered capabilities for impact at national scale.
• A team that celebrates initiative, creativity, and experimentation.
• A product with purpose — improving futures, not just metrics.
• A work culture where your ideas matter and your ownership is real.

If you want to build meaningful technology, grow fast, and lead a team that cares as much about impact as they do about clean code — this is your place.