Senior AI Software Engineer - Level II
About The Position
Are you passionate about building AI-driven software that transforms how professionals work? Symbiotic Services is recruiting a Senior Software Engineer – AI II for an opportunity with a leading global organization. This role combines innovative, fast-paced engineering with the scale and stability of a large enterprise, focused on delivering AI-powered solutions that modernize tax and accounting workflows through automation and intelligence. About the Role In this role, you will: Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents Ensure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practices Proactively identify risks and performance issues, making data-driven recommendations and implementing corrective actions Collaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectives Lead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use cases Review existing systems and recommend improvements to scalability, performance, and overall architecture Stay current with evolving AI technologies and promote continuous learning and adoption across the team
Requirements
- 5+ years of software engineering experience, including 2+ years focused on AI/ML
- Strong proficiency in Python, with experience building web applications, distributed systems, and APIs
- Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow
- Deep understanding of AI systems, including RAG architectures, AI agents, and agent-based systems
- Experience integrating AI models into production environments using APIs and data pipelines
- Familiarity with vector databases, embeddings, and search-based AI solutions
- Strong knowledge of machine learning fundamentals, model evaluation, system design, and end-to-end MLOps
- A passion for learning new technologies and advancing modern engineering practices
Nice To Haves
- 2–3 years of experience designing, deploying, and operating scalable cloud services using AWS (e.g., Lambda, S3, EC2)
Responsibilities
- Design and implement advanced AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents
- Ensure system quality, reliability, and compliance through strong testing frameworks, monitoring solutions, and responsible AI practices
- Proactively identify risks and performance issues, making data-driven recommendations and implementing corrective actions
- Collaborate with cross-functional partners across Product, UX, and Data/Science teams to align AI capabilities with business objectives
- Lead and execute proof-of-concepts (POCs) to evaluate emerging technologies and innovative AI use cases
- Review existing systems and recommend improvements to scalability, performance, and overall architecture
- Stay current with evolving AI technologies and promote continuous learning and adoption across the team
Benefits
- Hybrid Work Model: Flexible schedule with a combination of in-office and remote work
- Work-Life Balance: Supportive flexibility programs, including work-from-anywhere options for part of the year
- Career Growth: Strong focus on continuous learning, skill development, and advancement in an AI-driven environment
- Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health resources, retirement savings, tuition reimbursement, and incentive programs
- Inclusive Culture: A collaborative, values-driven workplace committed to inclusion and belonging
- Social Impact: Paid volunteer time and opportunities to contribute to community and ESG initiatives
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
