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Tier-1 brand, mid-level AI role in Bangalore with broad skillset attracts many qualified applicants.
Core ML and MLOps skills are transferable, though legal/tax domain knowledge increases industry specificity.
Explicit 5+ years, 2+ years AI focus, and required ML/MLOps/cloud tooling make shortlisting strict.
Design, architect, and implement advanced AI systems including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents for legal, tax, risk, and compliance domains.
Integrate AI models into production software with robust APIs and scalable data pipelines, optimizing performance and ensuring compliance with ethical AI principles and security standards.
Mentor junior engineers, conduct proof-of-concept projects, contribute to MLOps and LLMOps practices, and act as a technical thought leader within the organization.
Bachelor's degree in computer science or equivalent experience.
5+ years of software engineering experience with at least 2 years focused on AI/ML.
Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
Experience with cloud platforms (AWS, Azure, GCP), containerization tools (Docker, Kubernetes), and integrating AI models into production via APIs and data pipelines.
Experienced in developing AI-driven systems with knowledge of retrieval-augmented generation, agent-based architectures, and vector databases.
Familiarity with domain-specific AI applications in legal, tax, or compliance environments for expert systems development.
Demonstrated ability to lead technical discussions, drive MLOps/LLMOps practices, and translate AI research into production-ready solutions.