Senior Software Engineer, AI I

About The Role:

As aSenior Software Engineer AI, you will 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 modelsand 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 researchand emerging technologies
• Break down functional requirements into scalable technical specifications
• Mentor junior engineers and facilitate technical discussions
• Contribute toMLOpsandLLMOpspractices, both in design and implementation
• Act asa 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
• Conductsystems analysis and recommend operational improvements
• Workclosely with AI researchers, engineers, designers and product teams to translate AI capabilities into real-worldapplications.
• Optimize AI system performance considering factors like latency and resourceusage
• Support applicationfeature enhancements through AIcapabilities.

About You:

You are a fit for the position of Senior Software Engineer- AI if your background includes:

Required Skills and experience:

• 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 ofMLOpsand 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 communicationskills and experience working in cross-functional teams.
• Experience with AI-driven systems, agent-based architectures, or AI APIs from providers like OpenAI andAnthropic.
• Knowledge of vector databases, embeddings, or search-basedAI.
• Domain knowledge in legal, tax, oraccounting
• A portfolio of projectsdemonstrating creativity and skill building solutions withLLMs.