Collaborate with a cross-functional team of product managers, UX designers, and engineers to design, build, and deliver AI-powered solutions.
Architect and implement advanced AI systems, including multi-component pipelines, retrieval-augmented generation (RAG), and custom AI agents with multi-step reasoning.
Integrate AI models into production software through robust APIs and scalable data pipelines.
Adapt AI models and techniques to specialized domains, tailoring solutions for expert systems in areas such as legal, tax, and compliance.
Evaluate and prototype cutting-edge AI techniques to solve business challenges.
Conduct proof-of-concept projects for new AI-driven features.
Stay current with AI research and emerging technologies.
Break down functional requirements into scalable technical specifications.
Mentor junior engineers and facilitate technical discussions.
Contribute to MLOps and LLMOps practices, both in design and implementation.
Act as a thought leader, sharing expertise in company-wide forums and representing the organization in emerging technology areas.
Implement comprehensive testing frameworks and monitoring systems for AI model performance.
Ensure compliance with ethical AI principles and security standards.
Conduct systems analysis and recommend operational improvements.
Requirements
Bachelor's degree in computer science or equivalent experience
5+ years of experience in software engineering; at least 2 years focused on AI/ML
Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
Strong understanding of machine learning principles, evaluation, and system design
Knowledge of MLOps and the end-to-end lifecycle of AI-powered software applications
Experience integrating AI models into production systems using APIs and data pipelines
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes)
Excellent problem-solving skills and ability to work independently in a fast-paced environment
Strong communication skills and experience working in cross-functional teams.
Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI and Anthropic.
Knowledge of vector databases, embeddings, or search-based AI.
Domain knowledge in legal, tax, or accounting
A portfolio of projects demonstrating creativity and skill building solutions with LLMs.
Benefits
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way: Supportive workplace policies designed to help manage personal and professional responsibilities, including work from anywhere for up to 8 weeks per year
Career Development and Growth: Continuous learning and skill development programs
Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, Mental Health Days, Headspace app access, retirement savings, tuition reimbursement, and resources for wellbeing
Social Impact: Employees receive two paid volunteer days off annually and opportunities for community involvement.
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