Platform Engineer on Rancher team managing app integrations and Kubernetes management system at SUSE. Collaborating on deployments, configuration, and support with open - source tooling.
About the role
- Senior Software Engineer developing AI-driven software solutions for legal, tax, and compliance sectors. Collaborating with cross-functional teams to implement advanced AI systems and mentor junior engineers.
Responsibilities
- 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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