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Principal Software Engineer

USA💼 Full-time💰 $61,000–$61,000🗓 2026-09-04 → 2026-09-26

Core

Architecting and implementing scalable engineering frameworks and agentic AI systems for data-intensive applications in regulated financial services.

Role type

Principal Software Engineer (AI/ML & Platform Architecture)

Builds

Secure, high-quality production code, durable software frameworks, and agentic AI workflows for enterprise-scale platforms.

Domain

Financial Services / AI/ML / Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

System design, application development, testing, operational stability, LLM-based application development, agentic architectures, tool use, memory management, multi-step reasoning, Python, Java, cloud-native development, large-scale data processing, microservices, API design, data governance, relational and NoSQL databases, vector stores, data lake architectures, responsible AI use, security, resiliency, risk-based governance.

Preferred skills

Leading adoption of agentic AI-enabled development practices, human-in-the-loop validation, traceability, auditability, secure handling of sensitive data, enterprise-authorized AI-assisted development.

Technologies

Python, Java, AWS, Azure, GCP, Kafka, Redis, MemCached, Dynatrace, Splunk, Grafana, Airflow, Temporal, Databricks, PySpark, Snowflake, Spark, RAG, Model Serving, Vector Stores.

Responsibilities

Architect and implement complex, scalable engineering frameworks and solutions. Develop secure, high-quality production code for data-intensive applications. Create durable, reusable software frameworks and patterns. Design and govern agentic AI systems including multi-agent workflows and human-in-the-loop controls. Establish engineering standards for LLM-based applications. Drive adoption of advanced technical methods and practices. Serve as subject matter expert in data engineering, platform architecture, or AI systems. Advise cross-functional teams on technology decisions. Influence leaders on technical strategy and direction. Architect and govern agentic AI-enabled engineering workflows.

Seniority

Principal, hands-on IC with strategic influence

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