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Tier-1 brand and Bangalore metro increase applicant density despite senior, specialized ML/AI requirements.
Highly domain-specific ML/AI expertise and legal-technology integration skills limit cross-industry transferability.
Multiple strict filters: 10-12+ years required plus deep LLM, RAG, vector DB, and AWS/Kubernetes expertise.
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Design, build, and scale AI-driven enterprise software solutions focused on agentic AI systems and complex Legal Technology integrations.
Develop and maintain production-grade NLP algorithms, RAG architectures, and autonomous multi-agent platforms using AI techniques and frameworks.
Own code quality, system reliability, scalability, security, and technical documentation as an individual contributor engineering role reporting to Senior Director.
Bachelor’s or Master’s degree in Computer Science or related field.
10+ years relevant experience with Master’s or 12+ years with Bachelor’s degree.
Proven experience in GenAI-powered application development including LLMs, transformers, NLP, prompt engineering, vector databases, container orchestration, and AWS services.
Hybrid work model requiring minimum 2 days per week onsite office presence.
Experienced engineer with deep expertise in agentic AI systems, distributed system architecture, and AI infrastructure scaling.
Strong technical background in GenAI research translation into production, including supervised fine-tuning and reinforcement learning methods.
Comfortable delivering complex AI integrations and collaborating cross-functionally with Product, Enterprise Architecture, and Legal Technology stakeholders.