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**** Staff Software Engineer- AI
** leader. As a Staff Software Engineer – AI, you will play a lead role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains.
** About
The Role
** As a Staff Software Engineer – AI, you will:
* Spearhead the development of cutting-edge AI-powered solutions and driving technical strategy. You will collaborate with senior stakeholders, product leadership, and cross-functional teams to architect, build, and scale enterprise-grade AI systems that transform how our organization delivers value to customers.
- Lead technical architecture decisions and translate high-level business requirements into comprehensive, scalable technical specifications
• Mentor a team of senior and junior Software engineers, fostering technical growth and career development
• Champion MLOps and LLMOps practices across the organization, leading both design and implementation initiatives
• Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events requirements
• Conduct advanced systems analysis and drive operational improvements across AI infrastructure
• Establish governance frameworks for AI model lifecycle management usage, cost efficiency, and user experience
• Lead strategic initiatives for application feature enhancements through advanced AI capabilities
• Influence product strategy through deep technical expertise and market understanding
You are a fit for the position of Staff Software Engineer - AI, if your background includes:
Required Skills and Experience
* Bachelor's degree in Computer Science, Engineering, or equivalent experience;
Master's degree preferred
• 8+ years of experience in software engineering with at least 4 years in senior or lead roles focused on AI/ML
* Expert-level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, Tensor Flow, JAX)
* Deep understanding of machine learning principles, advanced evaluation methodologies, and distributed system design
* Proven experience with MLOps/LLMOps and managing the complete lifecycle of enterprise AI-powered applications
* Demonstrated expertise integrating AI models into large-scale production systems using APIs, data pipelines, and cloud-native architectures
* Advanced experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Docker, Kubernetes, Terraform)
* Strong leadership experience driving technical initiatives
* Excellent strategic thinking, problem-solving skills, and ability to operate effectively in complex, fast-paced environments
* Outstanding communication and presentation skills with experience influencing senior stakeholders
Preferred Qualifications
* Experience leading teams in building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs from providers like OpenAI, Anthropic, and others
* Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval systems
* Domain expertise in legal, tax, accounting, or other regulated industries
* Track record of successful AI product launches and scaling AI systems to enterprise customers
* Portfolio demonstrating leadership in innovative LLM-based solutions and AI product development
* Experience with AI governance, model risk management, and regulatory compliance
* Publications, patents, or speaking experience in AI/ML domains
** Hybrid Work Model:
** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
** Flexibility & Work-Life Balance:
** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life…
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