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Tier-1 brand and Bangalore metro presence plus broad AI/full-stack skill requirements yield moderate competition.
Highly specialized LLM, vector DB, and AI-platform expertise reduces cross-industry transferability.
Explicit 8+ years, mandatory LLM/cloud/container skills and leadership indicate strict candidate filters.
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Lead design, development, and deployment of scalable AI applications, microservices, and REST APIs incorporating LAG, multimodal LLM features, and agentic workflows.
Own technical decisions on AI systems balancing reliability, performance, and cloud cost across multiple company initiatives.
Mentor engineering teams, guide external contractors, enforce code quality, and drive Agile development and observability practices for AI features.
Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
8+ years of professional experience with general-purpose programming languages (Python preferred, Java, or Go) and front-end JavaScript/TypeScript.
Proven experience shipping production-scale AI applications using LLMs, RAG, and AI services.
Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Experienced technical leader with demonstrated ability managing and mentoring teams and external vendors in AI/ML development environments.
Expertise building advanced AI features such as RAG architectures, agentic workflows, and multimodal LLM integrations at scale.
Proficient in full stack development with modern front-end frameworks and orchestration frameworks (e.g., LangChain) supporting large user bases and enterprise-grade AI systems.