Senior AI Software Engineer - Level I

Senior Software Engineer – AI

Recruiter:
Symbiotic Services

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.

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

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 Tensor Flow

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

1–2 years of experience with AWS, including designing, deploying, and operating scalable cloud services (e.g., Lambda, S3, EC2)

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