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GenAI specialization and Mumbai metro location increase applicant density, but seniority reduces competition.
Requires deep GenAI and LLM experience, making industry transferability limited.
Explicit 8+ years plus mandatory GenAI, cloud, and infrastructure skills enforce strict screening.
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Lead architecture, design, and development of scalable backend systems integrating Generative AI and machine learning models into production.
Drive end-to-end delivery of GenAI solutions including LLM-based systems, RAG architectures, and agentic AI workflows from experimentation to production readiness.
Own major architectural initiatives, incident prioritization, and mentor engineering teams; act as DRI for critical repositories and represent group to leadership.
8+ years of software engineering experience with strong backend expertise in Python and Generative AI exposure.
Bachelor's or master's degree in computer science, software engineering, or related field.
Proven experience delivering AI/ML or Generative AI systems in production environments; familiar with GenAI frameworks (e.g., LangChain, Google ADK).
Position based onsite in Mumbai.
Experienced in cloud-native architectures, microservices, distributed systems, Docker, Kubernetes, CI/CD, and infrastructure-as-code tools (Terraform).
Strong client-facing communication skills with ability to clearly explain complex technical concepts.
Capable of technical leadership through system-level thinking, mentoring teams, driving clarity in ambiguity, and leading by technical credibility rather than hierarchy.