The Principal Python Backend Engineer role at Fidelity focuses on building high-performance backend systems for the Enterprise AI/ML Platform. The team values clean code, fast learning, and high ownership, encouraging engineers to take pride in their work. Candidates will work on core AI/ML services, design service abstractions, and develop developer-friendly APIs. The position requires a strong engineering perspective and the ability to learn quickly in a dynamic environment.

• 7+ years of professional software engineering experience, primarily in production-grade Python backend systems.
• Strong Python service engineering skills, including sound OOP and clear interfaces.
• Experience with real-world performance tuning across services and data stores.
• Familiarity with building event-driven systems and real-time pipelines.
• Mastery of debugging complex, distributed behavior.
• Ability to read open-source code and produce simplified alternatives.
• Effective use of developer-assist tools to maintain high quality and minimize code bloat.
• Familiarity with key Data Science, Machine Learning, or AI libraries is a bonus.

• Build the core AI/ML services running in Kubernetes and locally in 'Playground' mode.
• Design clean abstractions over vector databases and multistep Search/Information Retrieval pipelines.
• Own automated real-time data ingestion for RAG, ensuring ACID integrity and eliminating redundant document processing.
• Ship developer-friendly APIs, SDKs, CLIs, and templates for enterprise-scale development.
• Instrument services for distributed tracing, retrieval quality metrics, and performance metrics.
• Turn rapid prototypes into resilient systems with pragmatic designs.
• Read and distill open-source frameworks to improve engineering efficiency.
• Produce service metrics to understand parallelism and propose scaling approaches.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.