Director-Engineering

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 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 - 812 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.