Engineer., SIP
Invesco Ltd.3 months ago
Atlanta, GA, USA or Houston, TX, USAEntry Level
Responsibilities
- Collaborate with data scientists, data engineers, and investment professionals to build AI-based tools using structured and alternative data sources.
- Rapidly prototype innovative solutions using AI-assisted coding to accelerate the idea-to-MVP cycle.
- Develop Invesco’s generative AI platform through system prompts, agentic workflows, and LLM-integrated features.
- Build cloud-native microservices and micro-UI components integrated with AI orchestration layers.
- Create validations, evaluations, and guardrails for agent frameworks and custom business agents.
- Apply AI-first engineering principles to address architectural challenges in scaling agentic systems.
- Deliver measurable value each sprint while maintaining code quality through modern automation and testing.
Requirements
- Requires 0–2 years of experience and a professional or personal project portfolio demonstrating functional, creative web applications.
- Foundational proficiency in Python for AI/backend work and TypeScript/React for frontend development.
- Comfort using AI coding assistants and LLMs for debugging, documentation, and boilerplate code.
- Exposure to or strong interest in LangGraph, LangChain, and agentic design patterns.
- Familiarity with Docker, Git, and basic cloud concepts including AWS or Azure.
- Ability to learn proactively, experiment with emerging technologies, and work effectively in a fast-paced environment.
Benefits
- Full-time employee position with flexible paid time off, health and wellbeing benefits, parental leave, an employee stock purchase plan, and 401(k) matching of 100% up to the first 6% with a discretionary supplemental contribution.
- Hybrid workplace policy requiring at least four full days per week in an Invesco office as of October 1, 2025.
Categories
About Invesco Ltd.
Invesco Ltd. is a global asset manager providing mutual funds, exchange‑traded funds (including Invesco QQQ), separately managed accounts, and alternative strategies to retail and institutional investors. It earns primarily through management and performance fees. Founded in 1935 and headquartered in Atlanta, the public company serves clients worldwide and supports distribution with portfolio analytics, risk tools, and research platforms.