Principal AI Software Engineer

AbsenceSoft is transforming the employee experience with their innovative technology. They are seeking a Principal AI Software Engineer to architect, build, and deploy AI-driven systems, collaborating with data scientists and engineers to enhance AI features and ensure performance.

Responsibilities:

• Design and implement AI applications using the most effective modality for the problem—whether structured ML models, LLMs, vision, or audio-based models
• Build intelligent systems using vector search, semantic retrieval, RAG pipelines, and agentic behavior where appropriate
• Architect and deploy context-aware services with autonomous behavior and real-time reasoning capabilities
• Contribute to core infrastructure for inference pipelines, embeddings, prompt management, and intelligent feedback loops
• Work closely with data scientists and data engineers to design, train, and serve robust, production-ready models
• Collaborate with product managers and designers to shape user-facing AI features and customer experiences
• Integrate AI-assisted developer tools into engineering workflows and internal platforms
• Ensure solutions adhere to Responsible AI principles and comply with evolving global AI regulations and privacy standards
• Lead performance tuning, observability, and failover design for critical AI services
• Operate effectively within a highly compliant environment, supporting company controls and security standards

Requirements:

• 8+ years building enterprise-grade applications with deep expertise in MACH architectures
• 3+ years developing AI/ML-powered applications using LLMs, classic ML models, or multi-modal architectures
• Strong Python programming skills with production-level API and async design experience
• Fluency across multiple ML paradigms including deep learning, vision, and audio models
• Hands-on experience with LLM orchestration, RAG pipelines, embeddings, and prompt engineering
• Track record of deploying trained models at scale in collaboration with data scientists
• Proficiency deploying with Docker/Kubernetes across cloud platforms (AWS, Azure, or GCP)
• Familiarity in CI/CD pipelines, model versioning, A/B testing, and observability best practices
• Strong communicator who thrives in cross-functional, fast-moving environments
• Experience with Event-Driven Architecture (EDA) patterns