Software Engineer

As 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 agents
• Build and maintain robust testing frameworks, monitoring solutions, and ethical AI practices to ensure system quality, reliability, and compliance
• Proactively identify risks and performance issues, using data-driven insights to recommend and implement improvements
• Collaborate closely with Product, UX, and Data/Science teams to align AI capabilities with business goals and translate requirements into technical solutions
• Conduct proof-of-concepts (POCs) to assess emerging technologies and validate innovative AI use cases
• Evaluate existing systems and propose architectural, scalability, and efficiency enhancements
• Continuously stay current with AI advancements and promote adoption of relevant tools and technologies

Are 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., * 5+ years of professional software engineering experience, including 1+ year focused on AI/ML

• Strong proficiency in Python, with experience developing web applications, distributed systems, and APIs
• Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow
• Solid understanding of modern AI systems, including RAG architectures, AI agents, and agent-based systems
• Experience integrating AI models into production environments using APIs and data pipelines
• Knowledge of vector databases, embeddings, and search-driven AI solutions
• Strong foundation in machine learning principles, model evaluation, system design, and MLOps across the full AI lifecycle
• Curiosity and enthusiasm for exploring new technologies and engineering approaches

Preferred Qualifications

• 1–2 years of experience with AWS, including designing, deploying, and operating scalable cloud services (e.g., Lambda, S3, EC2), AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Career Development, Cloud Computing, Data Management, Data Science, Emerging Technology, Machine Learning, Problem Solving Skills, Production Systems, Proof of Concept, Requirements Management, Risk Analysis, Software Engineering, Startup, System Architecture, Systems Reliability, Tax Accounting, Technology Analysis, Testing, Use Cases, User Interface/Experience (UI/UX)

• Hybrid Work Model: Flexible schedule with a mix of in-office and remote work
• Flexibility & Work-Life Balance: Supportive policies, including work-from-anywhere options for part of the year
• Career Development: Strong emphasis on continuous learning, skill development, and long-term growth in an AI-focused environment
• Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health support, retirement savings, tuition reimbursement, and incentive programs
• Inclusive Culture: A workplace committed to inclusion, collaboration, and professional wellbeing
• Social Impact: Opportunities for paid volunteer time and participation in community and ESG initiatives

Symbiotic Services is proud to represent this opportunity and is committed to a fair, inclusive, and human-centered recruitment process.