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GigaML

Site Lead Developer

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Description

Responsibilities:

  • Build, lead, and retain a high-performing engineering team in India across backend, infra, and applied AI for Giga's enterprise AI support agents.
  • Own delivery for key product and platform areas: real-time orchestration, integrations, tooling, and reliability for AI agents handling millions of customer interactions.
  • Drive technical design and execution for low-latency, high-availability systems that power voice/chat AI agents for large B2C enterprises (e. g., ecommerce, fintech, mobility).
  • Partner with founders and US leadership on roadmap, staffing, and India expansion, acting as the primary engineering point-of-contact.
  • Set and enforce engineering best practices: code quality, testing, observability, incident management, and on-call processes for production AI systems.
  • Collaborate with product and customer teams to translate enterprise requirements (compliance, SLAs, security) into robust technical solutions.
  • Mentor and grow senior engineers into tech leads; create a culture of ownership, speed, and high bar for talent.
  • Contribute hands-on to architecture and critical code paths when needed (expected 20-40% hands-on initially).
  • Establish site-level rituals: hiring pipeline, performance reviews, architecture reviews, and cross-site collaboration with US teams.


Requirements:

  • 13+ years of overall experience in software engineering, with at least 4-5 years in engineering management/tech leadership roles.
  • Strong experience building and operating distributed, high-scale backend systems (microservices, event-driven architecture, real-time systems, or similar).
  • Proven experience leading teams delivering customer-facing or mission-critical products with strict reliability/latency requirements.
  • Hands-on expertise in at least one modern backend stack (e. g., Python/Go/Java) and strong system design skills.
  • Prior experience in a high-growth startup or product company; comfortable with ambiguity, rapid iteration, and 01 / 110 scaling.
  • Experience working with or around ML/AI products, data platforms, or real-time decisioning systems is a strong plus.
  • Excellent people leadership: hiring, performance management, coaching senior ICs, and building culture across locations.
  • Strong communication and stakeholder management skills, with experience working with global teams (US/Europe).
  • Background in conversational AI, customer support platforms, or contact-centre technology.
  • Experience setting up or scaling a new engineering site/hub.
  • Prior work with enterprise customers in regulated or high-compliance domains (e-commerce, BFSI, healthcare, telecom).

Skills

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