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Tier-1 employer and Bangalore location increase competition, but senior niche GenAI/LLM specialization limits candidate pool.
Generative AI, LLM, RAG, and vector-database expertise create strong domain bias across industries.
Explicit 8+ years and mandatory GenAI/LLM, RAG, vector DBs, cloud, and containerization requirements make filters strict.
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Design, develop, and maintain scalable Generative AI applications focusing on LLMs, RAG solutions, and AI orchestration frameworks.
Build and integrate AI assistants, copilots, and intelligent workflows with foundation models from providers like OpenAI, Anthropic, and Google Gemini.
Lead technical design, architecture discussions, optimize AI solution performance, and mentor junior engineers.
8+ years of software engineering experience with hands-on Generative AI technologies.
Strong proficiency in Python and SQL; experience with LLMs, RAG, and vector databases.
Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex), REST APIs, microservices, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field.
Experienced in designing distributed, cloud-native AI-powered applications at scale.
Skilled in integrating multiple AI foundation models and advanced AI orchestration frameworks into enterprise solutions.
Capable of leading technical architecture, mentoring teams, and improving AI application operational metrics (performance, scalability, latency, cost).