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Tier-1 brand plus metro location increase applicant density, balanced by seniority and niche AI focus.
Medium because core ML skills transfer across industries but legal/tax domain preference raises specificity.
High due to explicit 7+ years, 2+ years AI, and mandatory tech stack and MLOps requirements.
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Architect, implement, and integrate advanced AI systems including retrieval-augmented generation and custom multi-step reasoning agents.
Develop scalable AI-powered production solutions via robust APIs and data pipelines focused on legal, tax, risk, and compliance domains.
Drive AI innovation through prototyping, mentoring junior engineers, and contributing to MLOps/LLMOps best practices ensuring ethical AI and system performance.
Bachelor's degree in computer science or equivalent experience.
7+ years of software engineering experience including at least 2 years focused on AI/ML development.
Proficiency in Python and AI/ML frameworks such as PyTorch or TensorFlow.
Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and integration of AI models into production via APIs and data pipelines.
Experienced in building scalable, domain-specific AI solutions in regulated industries such as legal or tax compliance.
Able to lead AI system architecture and mentor teams while staying current with emerging AI research and tooling.
Skilled in MLOps/LLMOps lifecycle management and optimizing AI systems for real-world constraints like latency and resource usage.