Engineering Manager

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 an Engineering Manager 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.

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

1. The chance to build
   AI-powered capabilities
   for impact at national scale.
2. A team that celebrates initiative, creativity, and experimentation.
3. A product with purpose — improving futures, not just metrics.
4. Freedom to try, fail, iterate, and try again.
5. A work culture where your ideas matter and your ownership is real.