Senior AI Software Engineer - Level I
About The Position
As a Senior Software Engineer â 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
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
- 1â2 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
