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Tier-1 brand, Hyderabad metro, and broad AI/full-stack requirements increase qualified applicant competition.
Deep AI-native and production ML systems expertise required, limiting cross-industry transferability.
Explicit 8+ years, mandatory production ML/AI experience, and specific tech requirements create strict filters.
Own end-to-end architecture, design, implementation, scalability, and reliability of major AI-powered software systems within security and risk engineering.
Lead technical vision and decisions for AI-native applications including AI/ML capabilities like agentic workflows, retrieval, model integration, and AI observability.
Provide hands-on full-stack development from frontend to distributed backend services, cloud infrastructure, and production-scale AI/ML systems while mentoring other engineers.
8+ years of software engineering experience or equivalent practical experience.
Strong programming skills in Python and/or Java, Go, or similar languages are mandatory.
Experience designing, building, and delivering production AI/ML-powered software systems including LLMs, retrieval, embeddings, and AI observability.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline, or equivalent practical experience.
Experienced in full-stack development combining frontend, backend, APIs, data, AI services, and cloud infrastructure at scale.
Proven ability to lead architectural design and technical strategy for ambiguous, complex AI security or enterprise software products.
Strong domain knowledge of modern AI-native systems including multi-agent orchestration, tool integration, retrieval augmented generation, and AI safety/governance mechanisms.