Principal Engineer,

accrete

Mumbai 10 Years Exp Posted 12d ago

Job Description

Architecture & Technical Leadership

  • Lead the architecture, design, and development of core components of the AI Platform.
  • Drive technical direction across frontend, backend, infrastructure, and platform services.
  • Design scalable, reliable, secure, and maintainable systems for complex AI agent workloads.
  • Solve complex and ambiguous technical problems and make sound architectural decisions considering scalability, performance, reliability, cost, and time-to-market.
  • Identify architectural bottlenecks and technical risks and proactively drive solutions.
  • Establish engineering best practices across system design, code quality, testing, security, observability, and maintainability.

Full-Stack & AI Platform Development

  • Design and build end-to-end features across frontend and backend systems.
  • Develop scalable APIs, services, and core libraries that power AI applications and agents.
  • Build developer-facing tools and intuitive interfaces for interacting with AI models, agents, and data.
  • Design and develop infrastructure for securely running and orchestrating AI agents and AI workloads in production.
  • Integrate AI/ML models, data pipelines, and emerging AI capabilities into production systems.
  • Build modular platform components that can evolve with advances in AI technology.

Scalability, Innovation & Collaboration

  • Architect systems for high performance, availability, scalability, and fault tolerance.
  • Drive improvements in platform reliability, latency, resource utilization, observability, and developer experience.
  • Contribute to the long-term technical roadmap of the AI Platform and evaluate emerging technologies relevant to AI/ML systems.
  • Provide technical mentorship and guidance to engineers and help raise engineering standards across the organization.
  • Lead technical design discussions, architecture reviews, code reviews, and complex problem-solving sessions.
  • Collaborate with product, ML, data, and engineering teams to translate business requirements into effective technical solutions.
    • Own initiatives from concept and architecture through implementation, deployment, and continuous iteration.