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Softcard (acquired by Google)

Software Engineer

Softcard (acquired by Google)

. Collaborating with data scientists, data engineers, full stack engineers and investment professionals to build innovative AI - based tools using structured and alternate data sources.

Posted 5/1/2026full-timeAtlanta • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerMicroservicesPythonReactTypeScript

About the role

Key responsibilities & impact
  • Collaborating with data scientists, data engineers, full stack engineers and investment professionals to build innovative AI - based tools using structured and alternate data sources.
  • Rapidly prototyping new and innovative solutions alongside experienced developers, using AI - assisted coding to accelerate the "idea - to - MVP" cycle.
  • Developing and refining Invesco’s Generative AI platform by creating system prompts, implementing agentic workflows and LLM - integrated features.
  • Coding and delivering cloud - native microservices and micro - UI components that integrate seamlessly with AI orchestration layers.
  • Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases.
  • Applying "AI - first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems.
  • Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing.

Requirements

What you’ll need
  • 3 - 5 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative AI applications.
  • Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend).
  • High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently.
  • Exposure to (or a strong desire to learn) Copilot Studio, AgentCore, LangGraph, Lang Smith and agentic design patterns.
  • Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure).
  • A proactive learner who thrives in a fast - paced, value - driven environment and is comfortable experimenting with emerging technologies.

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
PythonTypeScriptReactAI applicationscloud-native microservicesmicro-UI componentsAI coding assistantsLLMsagentic design patternsautomation and testing
Soft Skills
collaborationcreativityproactive learningadaptabilityproblem-solvingspeedvalue-driven mindsetexperimentation