Senior Software Engineer – AIRecruiter: Symbiotic ServicesAre you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is seeking a Senior Software Engineer – AI for a high-impact opportunity with a leading global organization. This role blends innovative, startup-style problem solving with the scale and stability of an established enterprise, focusing on AI-powered solutions that enhance tax and accounting workflows through automation and intelligence.About the RoleAs a Senior Software Engineer – AI, you will:Design and implement complex AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agentsBuild and maintain robust testing frameworks, monitoring solutions, and ethical AI practices to ensure system quality, reliability, and complianceProactively identify risks and performance issues, using data-driven insights to recommend and implement improvementsCollaborate closely with Product, UX, and Data/Science teams to align AI capabilities with business goals and translate requirements into technical solutionsConduct proof-of-concepts (POCs) to assess emerging technologies and validate innovative AI use casesEvaluate existing systems and propose architectural, scalability, and efficiency enhancementsContinuously stay current with AI advancements and promote adoption of relevant tools and technologiesRequired Qualifications5+ years of professional software engineering experience, including 1+ year focused on AI/MLStrong proficiency in Python, with experience developing web applications, distributed systems, and APIsHands-on experience with AI/ML frameworks such as PyTorch and TensorFlowSolid understanding of modern AI systems, including RAG architectures, AI agents, and agent-based systemsExperience integrating AI models into production environments using APIs and data pipelinesKnowledge of vector databases, embeddings, and search-driven AI solutionsStrong foundation in machine learning principles, model evaluation, system design, and MLOps across the full AI lifecycleCuriosity and enthusiasm for exploring new technologies and engineering approachesPreferred Qualifications1–2 years of experience with AWS, including designing, deploying, and operating scalable cloud services (e.g., Lambda, S3, EC2)What's in It for YouHybrid Work Model: Flexible schedule with a mix of in-office and remote workFlexibility & Work-Life Balance: Supportive policies, including work-from-anywhere options for part of the yearCareer Development: Strong emphasis on continuous learning, skill development, and long-term growth in an AI-focused environmentCompetitive Benefits: Comprehensive benefits package including flexible vacation, mental health support, retirement savings, tuition reimbursement, and incentive programsInclusive Culture: A workplace committed to inclusion, collaboration, and professional wellbeingSocial Impact: Opportunities for paid volunteer time and participation in community and ESG initiatives