Senior Software Engineer - Agentic AI and Frontend Applications

Invesco

Atlanta, GeorgiaPosted 2 days agoDiscoveredMatch locked

HybridFull time

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 outputs, embeddings, and AI response evaluation.
Nice to have skills
Experience building AI-powered user experiences such as chat interfaces, human-in-the-loop review screens, streaming responses, agent activity traces, and approval workflows.
Experience building AI-enabled applications in financial services, investment management, risk, research, portfolio management, or similar business domains.
Experience with backend technologies such as Python, FastAPI, Node.js, Snowflake DB, Redis, message queues, and API orchestration.
Experience building applications for web and handheld devices, including responsive design, mobile-friendly workflows, accessibility, and performance optimization.
Experience with cloud-native delivery, Docker, CI/CD pipelines, automated testing, secure deployment practices, and production support.
Familiarity with enterprise integration patterns, authentication/authorization, data security, auditability, and compliance-aware application design.
Experience working directly with business stakeholders to refine ambiguous requirements, prototype solutions, gather feedback, and deliver high-visibility applications.

Requirements of the Role

Build modern React-based web interfaces for AI-powered applications.
Use agentic coding workflows to accelerate development, improve productivity, and deliver high-quality software.
Integrate frontend applications with backend APIs, AI services, databases, and workflow systems.
Collaborate with product, engineering, and business teams to turn requirements into working applications.
Contribute to the design and implementation of AI-enabled workflows, with opportunities to build more advanced agent capabilities over time.

The salary range for this position in Atlanta, GA is Min $110,000- $130,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Not included in the source posting: qualifications, benefits.

Skills

artificial-intelligencereactlangchainnode-jsragci-cddockerfastapijavascriptllmpythonredis

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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