Senior AI Software Engineer - Level I

Symbiotic ServicesFrisco, TX
1dHybrid

About The Position

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. About the Role As a Senior Software Engineer – AI, you will:

Requirements

  • 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

Nice To Haves

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

Responsibilities

  • 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

Benefits

  • 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
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