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Generic senior engineer title, metro location, and broad full-stack plus GenAI requirements drive moderate applicant density.
Strong GenAI and LLM-specific experience required, but core engineering skills remain moderately transferable across industries.
Explicit 7+ years requirement plus many mandatory technologies and ML/AI expertise enforces strict shortlisting.
Lead design, development, and deployment of GenAI-powered end-to-end full stack solutions transforming CRE property management data interactions.
Mentor and guide junior/mid-level engineers, drive architectural decisions, enforce technical standards, and ensure high code quality with automated testing.
Oversee cloud infrastructure, CI/CD pipelines, and participate in on-call incident response; advance AI features including RAG pipelines and agentic AI systems.
Bachelor's degree or higher in Computer Science, AI, Engineering, or related.
7+ years proven experience in full stack development and AI engineering with mentoring experience.
Proficiency in Python, React/NextJS, Django, Django REST, AI libraries (e.g., LangChain), and GenAI development including NLP and LLMs.
Experience with cloud platforms (AWS or Azure), Infrastructure as Code (Terraform), containerization (Docker), and CI/CD pipelines; role based in Bengaluru, KA (on-site).
Senior-level engineer combining deep AI/GenAI expertise with strong full stack development skills and architectural leadership.
Experienced in delivering complex AI-backed software in Agile environments, comfortable leading technical standards and refactoring initiatives.
Familiar with advanced AI concepts such as RAG pipelines, agentic AI, Model Context Protocols, semantic search (Azure Search/OpenSearch), and large-scale cloud deployments.