Full Stack AI Engineer

Fidelity TalentSource; Covington (KY); On-site; USD 90,000 - 130,000; Full time

Job summary

Fidelity TalentSource is seeking an AI Software Engineer to design, build, and deliver AI-powered solutions from concept through production. You will partner with business stakeholders, product teams, and engineers to identify high-value AI opportunities and develop enterprise-grade capabilities that drive meaningful business outcomes.

You will apply LLMs and Generative AI to real challenges, work with Python, TypeScript, Node.js, React, and Next.js, and deploy in AWS/Azure/GCP with containers

Qualifications

• Bachelor’s degree or equivalent experience.
• 3+ years of software engineering experience.
• Proven track record delivering scalable, production-grade software and distributed systems.
• Experience applying LLMs and Generative AI to business challenges.
• Full-stack background with Python, TypeScript, Node.js, APIs, React, Next.js.
• Experience deploying in cloud environments (AWS, Azure, or Google Cloud).
• Experience with containers, Kubernetes, Infrastructure-as-Code, cloud-native architectures.
• Strong understanding of software architecture, design patterns, and security for enterprise-scale apps.

Responsibilities

• Design, build, and deliver AI-powered solutions from concept through production.
• Partner with stakeholders and teams to identify high-value AI opportunities.
• Develop enterprise-grade AI capabilities focused on business outcomes.
• Translate business needs into practical AI applications via cross-functional collaboration.
• Contribute to evolution of modern AI platforms and capabilities.

Skills

LLMs

Generative AI

Python

TypeScript

Node.js

APIs

React

Next.js

AWS

Azure

Google Cloud

Kubernetes

Containers

Security

Distributed systems

Software architecture

DevOps

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Docker

Job description

Build secure, scalable AI capabilities end-to-end to improve the advisor and client experience across Fidelity Wealth.

Responsibilities

• Design, build, and deliver AI-powered solutions from concept through production
• Partner with business stakeholders, product teams, architects, data scientists, and engineers to identify high-value AI opportunities
• Develop enterprise-grade AI capabilities focused on important business outcomes
• Translate business needs into practical AI applications through cross-functional collaboration
• Contribute to the evolution of modern AI platforms and capabilities

Requirements

• Bachelor’s degree or equivalent experience, with 3+ years of software engineering experience
• Proven track record designing and delivering scalable, production-grade software and distributed systems
• Experience applying LLMs and Generative AI technologies to address real business challenges
• Full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js
• Hands-on experience deploying and scaling applications in cloud environments including AWS, Azure, or Google Cloud
• Experience with platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures
• Strong understanding of software architecture, design patterns, and security, along with reliability principles for enterprise-scale applications
• Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions
• Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production

Technologies

• Python, TypeScript, Node.js
• APIs, React, Next.js
• LLMs, Generative AI
• AWS, Azure, Google Cloud
• Containers, Kubernetes
• Infrastructure-as-Code, cloud-native architectures

Example Use Cases

• Automated meeting preparation and research
• Intelligent call summarization and insight generation
• Automated follow-up and workflow orchestration
• Knowledge retrieval and recommendation systems
• AI-assisted decision support and productivity tools
• Workflow automation using enterprise data sources and communication channels