AI Developer Enablement Engineer

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of FactSet

FactSet

10,000+ employees

Founded 1982

💸 Finance

💳 Fintech

☁️ SaaS

Finance • Fintech • SaaS

FactSet is a global provider of integrated financial information and analytical applications for investment professionals. The company offers a wide range of solutions including asset management, risk analysis, investment research, and portfolio management tools. With a focus on utilizing artificial intelligence and data solutions, FactSet helps financial firms and investment professionals efficiently manage data, make informed decisions, and drive innovation. They leverage their technology to provide comprehensive insights and analytics across various asset classes. Over the past 40 years, FactSet has become a trusted partner for asset managers, consultants, hedge funds, and other financial institutions worldwide.

📋 Description

• Design and build internal AI tooling that supports automated remediation and migration workflows across the developer platform • Deploy and integrate AI tools (including LLM-based assistants, code analysis agents, and CI/CD-integrated tooling) into existing developer workflows • Troubleshoot and support developers experiencing issues with AI tooling — acting as the subject matter expert for AI-assisted development • Collaborate with teams to embed AI capabilities into build practices, upgrade cycles and security patching pipelines • Measure and report on outcomes: faster upgrade cycles, reduced manual remediation effort, and cost avoidance • Continuously improve tooling based on developer feedback and usage patterns

🎯 Requirements

• Proficiency in Go (Golang) • Hands-on experience building or integrating AI/LLM tooling (e.g., Claude, OpenAI APIs, GitHub Copilot, or similar) • Comfortable in the Linux CLI or Windows • Experience of developer workflows, CI/CD pipelines, and DevOps practices • Ability to both build new tooling from scratch and configure/deploy existing AI platforms • Troubleshooting skills - comfortable being the go-to person when something breaks • Nice to Have: Experience with security remediation, dependency management, or legacy code modernization • Familiarity with platform engineering or internal developer platform (IDP) concepts

🏖️ Benefits

• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. • Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. • Career progression planning with dedicated time each month for learning and development. • Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.

Apply Now

Similar Jobs

🔥 8 minutes ago

Astreya

1001 - 5000

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

AI/ML Engineer designing and implementing AI and automation solutions for IT processes at Astreya. Collaborating with teams to develop machine learning models and key automation frameworks.

Ansible

Open Source

Python

RPA

ServiceNow

Terraform

🔥 3 hours ago

phData

201 - 500

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Agentic AI Solutions Engineer designing and operationalizing AI solutions for enterprise clients. Collaborating with teams to build platforms that deliver measurable business outcomes.

AWS

Azure

Cloud

Python

SQL

🔥 3 hours ago

NewRocket

501 - 1000

🏢 Enterprise

🔐 Security

AI Engineer implementing and configuring AI-powered solutions within ServiceNow environments for NewRocket clients. Building integrations and prototypes while collaborating with client teams and consulting on AI-driven improvements.

AWS

Azure

Cloud

Google Cloud Platform

JavaScript

Microservices

Python

ServiceNow

TypeScript

🔥 10 hours ago

Jitterbit

201 - 500

☁️ SaaS

🔌 API

🤖 Artificial Intelligence

Senior AI Engineer role building innovative AI capabilities for Jitterbit's integration platform. Collaborating with global teams using cutting-edge technologies to enhance AI-driven business automation.

Apache

AWS

Azure

Cloud

Docker

ElasticSearch

Java

Kafka

Kubernetes

Linux

Microservices

MySQL

NGINX

Python

Redis

🔥 10 hours ago

Jitterbit

201 - 500

☁️ SaaS

🔌 API

🤖 Artificial Intelligence

Senior AI Engineer responsible for building AI capabilities for Jitterbit's platform while collaborating with cross-functional teams. Develop scalable systems using various AI and cloud technologies.

Apache

AWS

Azure

Cloud

Docker

ElasticSearch

ETL

Java

Jenkins

Kafka

Kubernetes

Linux

Microservices

MongoDB

MySQL

NGINX

Python

Redis

SQL

Tensorflow

Terraform