Senior Software Engineer - Agentic AI and Frontend Applications
- Location
- Atlanta, GA
- Employment
- Full Time
- Work model
- Hybrid
- Level
- Senior
- Posted
Skills
About this role
About Invesco As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What’s in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Investments and Risk Technology team is looking for a key engineer to help design and deliver high-visibility applications across web and handheld devices. This role requires strong experience with agentic coding workflows, modern web application development, and hands-on delivery using React and related frontend technologies.
About the Role
The candidate will work closely with business stakeholders, product owners, architects, and engineering teams to capture requirements, translate business needs into technical solutions, and help implement scalable applications that support investment and risk workflows. The role will involve building intuitive user experiences, integrating with backend services, and contributing to AI-enabled and agentic workflow capabilities. Ideal candidate is hands-on software engineer with strong React skills and practical experience using agentic coding workflows. They should be able to build clean, scalable, modern web interfaces and feel comfortable in an AI enabled engineering environment. The candidate should also have practical experience building AI agents capable of tool calling, interacting with APIs, retrieving context, completing workflow and performing multi-step tasks with minimal human intervention. Familiarity with AI application patterns such as prompt engineering, RAG, structured output, embeddings, and AI response evaluation is highly valuable. Experience with agent development framework such as LangGraph, LangChain, CrewAI, AgentCode or AutoGen is a strong plus. We are looking for a strong software engineer with experience in agentic coding workflows and building modern web interfaces. The ideal candidate should be hands-on, comfortable working with AI-assisted development tools, and capable of building polished, production-quality applications using React. Responsibilities of the Role: The candidate must have experience with agentic coding workflows, including using AI coding assistants, agent-based development tools such as Github Copilot, Claude Code, or autonomous coding workflows to accelerate software delivery. The candidate must have strong experience building modern web interfaces using React, TypeScript, reusable components, responsive design, API integration, and clean fr ontend architecture. The candidate should be comfortable working across the frontend and backend, integrating React applications with APIs, services, databases, and AI-powered workflows. The candidate should have strong software engineering fundamentals, including clean code, version control, debugging, testing, deployment practices, and collaboration in an engineering team. Practical experience building AI agents that can perform multi-step tasks, reason through workflows, call tools, interact with APIs, retrieve context, and complete tasks with minimal human intervention. Experience with agent development frameworks such as LangGraph, LangChain, CrewAI, Bedrock AgentCore, AutoGen, or similar tools. Experience with LLM application patterns such as prompt engineering, RAG, tool calling, structured