Python Software Engineering Manager Job Los Angeles area,California USA,Software Development

We are looking for a Python Software Engineering Manager to build an AI-powered financial assistant platform. You will partner with a small senior team and technical stakeholders to ship chat, reporting, and bespoke interfaces into investment workflows.

Responsibilities

Collaborate with a small, highly capable team of hands-on engineers in a startup-style environment with minimal formality
Partner directly with sophisticated technical stakeholders without needing to interface with non-technical clients or users
Elicit low-level requirements from high-level task definitions and account for edge cases before implementation
Design systems and deliver production-grade implementations with strong autonomy and self-governance
Influence product direction and contribute to architecture decisions
Build and maintain systems using cutting-edge technology without legacy constraints
Adopt new languages and technologies as the team evolves its stack
Optimize AI applications across quality, latency, reliability, and cost
Review, test, and validate AI-generated code produced through coding agents
Monitor AI behavior in production and perform failure analysis and regression testing
Maintain a high bar for quality, reliability, security, and maintainability across deliverables

Requirements

Proven track record in software development with 8+ years of hands-on experience in Python, React (TS), or other programming languages
Strong willingness and readiness to learn Python quickly if you are not yet proficient
Hands-on experience with FastAPI or other Python frameworks, plus AWS, Kubernetes, and Terraform
High autonomy and self-governance to take loosely defined tasks from requirements gathering through design and delivery
Comfort working in a startup environment with continuous learning of new languages and technologies
High standards for quality and reliability in software delivery
Solid experience with FE work, including TS/JS and React/NextJS/Node
Practical proficiency in AI-assisted programming methods and tools, including coding agents for code generation
Background in AI evaluation and quality engineering, including automated evaluations, test datasets, regression testing, and failure analysis
Understanding of AI security and production controls, including data privacy, access control, prompt-injection risks, guardrails, and auditability
Ability to optimize AI applications across quality, latency, reliability, and cost
Capability to learn and adopt new technologies rapidly as the AI ecosystem evolves
Advanced proficiency in English (C1+)