Description :

At iDreamCareer, were 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 were 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. Its a chance to shape the product, scale the platform, influence the engineering culture, and lead a team that builds with heart and hustle.

As an Director-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 :

- 8-15 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.