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Tier-1 brand, metro location, broad AI skillset, and attractive senior AI title increase competition.
Strong ML/AI skills are transferable, though legal/tax domain knowledge is preferred.
Explicit 7+ years experience, mandatory AI/MLOps skills and cloud/Kubernetes requirements raise filter strictness.
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Architect and implement advanced AI systems, including multi-component pipelines and retrieval-augmented generation (RAG).
Integrate AI models into production software using robust APIs and scalable data pipelines tailored to specialized domains like legal and tax.
Provide technical leadership, including mentoring junior engineers and contributing to MLOps and LLMOps design and implementation.
Bachelor's degree in computer science or equivalent experience.
7+ years of software engineering experience with at least 2 years focused on AI/ML.
Proficiency in Python and 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 systems.
Experienced in building AI-driven systems, including agent-based architectures and AI APIs from providers like OpenAI or Anthropic.
Familiar with MLOps/LLMOps and the end-to-end lifecycle of AI-powered applications.
Domain knowledge in legal, tax, or compliance to tailor AI solutions effectively for expert systems.