Software Engineer III (Python Full Stack AI Engineer)

Glider - Candidate ID Verification

We are looking for a strong Software Engineer III to join the Global Markets UI Horizontal team to help drive the AI Forward Engineering program.

The candidate will be responsible for designing, building, and enhancing next-generation enterprise applications that leverage modern UI frameworks, real-time data processing, and AI-driven capabilities. This includes developing user interfaces using React/Next.js as well as backend services using Python-based frameworks to support scalable, low-latency systems.
The role will focus on building AI-enabled applications using LLMs, agent-based workflows, and conversational systems, while also improving existing business-critical applications across trading, analytics, and reporting systems. The candidate will work closely with global development teams and front office stakeholders to deliver robust, scalable, and high-performance solutions.
Core EngineeringStrong experience across all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)

Required Qualifications
Core Engineering
Strong experience across all phases of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)
Proven Full Stack Development experience across UI and backend systems
Strong analytical, problem-solving, and debugging skills
Ability to work across global teams and communicate effectively with technical and non-technical stakeholders

UI Development
Hands-on experience with:
React.js / Next.js / ES6+
Modern UI frameworks (TailwindCSS or equivalent)
Experience building real-time UI applications using WebSockets or similar technologies
Exposure to desktop-based UI environments such as OpenFin / Electron
Ability to design scalable, performant, and reusable UI components

Backend & API Development
Strong programming experience in Python
Hands-on experience building REST APIs using frameworks such as FastAPI, Flask, or similar
Experience working with:
SQL and NoSQL databases
Microservices-based architectures
Event-driven systems (Kafka / messaging platforms)

AI / LLM & Agent Development
Experience developing AI-powered applications using:
LangChain / LlamaIndex
Agent frameworks (tool-calling, multi-agent workflows)
RAG architectures (vector databases, embeddings, retrieval systems)
Experience or familiarity with:
Rasa (CALM) conversational systems
LLM-based application development and orchestration
Exposure to Model Context Protocol (MCP) or similar tool integration frameworks
Understanding of prompt engineering and context-driven AI workflows

DevOps & Platform
Working knowledge of:
OpenShift / Kubernetes environments
CI/CD pipelines (CodeBuild, CDK, or similar tools)
Experience with containerized application deployment and configuration management

General Skills
Strong communication and interpersonal skills
Ability to handle multiple priorities and work in a fast-paced environment
Self-motivated, detail-oriented, and able to take ownership of deliverables
Strong collaboration skills across distributed/global teams

Desired Qualifications
Experience with [strong style="box-sizing: border-box; padding: 0px; margin: 0px; font-style: inherit; font-weight: bold; font-stretch: inherit; font-size: inherit; line-height: inherit; font-family: inherit; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; vertical-align: baseline; border: 0px none currentcolor;"]Global Markets / Trading systems / Financial products
Experience building [strong style="box-sizing: border-box; padding: 0px; margin: 0px; font-style: inherit; font-weight: bold; font-stretch: inherit; font-size: inherit; line-height: inherit; font-family: inherit; font-optical-sizing: inherit; font-size-adjust: inherit; font-kerning: inherit; font-feature-settings: inherit; font-variation-settings: inherit; font-language-override: inherit; vertical-align: baseline; border: 0px none currentcolor;"]distributed, low-latency systems
Exposure to streaming systems and real-time analytics