AI Engineer

SIX Group
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software Debugging
JSON
Python
Software Engineering
Systems Integration
XML
AI Infrastructure
SIGA
Large Language Models
Multi-Agent Systems
Generative AI
Pytest
Information Technology
HuggingFace
GraphQL
Docker

Requirements

Experteer Overview ¿Posee las habilidades y la experiencia adecuadas para este puesto? Siga leyendo para descubrirlo y envíe su solicitud. In this role you will steer the architecture and delivery of production-grade AI solutions for financial information. You'll lead cross-functional work to design scalable agentic workflows and robust AI infrastructure, collaborating with data scientists and engineers to ship impactful tools used by real users. You'll shape the technical direction, enforce standards, and mentor peers while solving complex, high-leverage problems. This position offers global impact with flexible work options and a front-row seat to AI-driven transformation in finance. Compensaciones / Beneficios * Architect multi-agent systems using LangGraph and LangChain to handle complex financial queries * Productize AI u0026 GenAI solutions: backends, agent/RAG infrastructure, MCP servers, and LLM-serving layers * Champion quality and coach peers through clean architecture, testing, and reviews * Implement advanced Retrieval-Augmented Generation (RAG) to ground model outputs in proprietary data * Establish evaluation pipelines with rigorous testing and metrics for production-grade performance Responsabilidades * 5+ years in software engineering with significant Gen AI application development experience * Strong Python expertise and deep AI stack knowledge (LangChain, LangGraph, OpenAI SDK, Hugging Face Transformers) * Proficiency in designing and integrating REST/GraphQL endpoints and handling structured data (JSON/XML) * Hands-on experience with Docker and cloud platforms (AWS/GCP/Azure) xqbhyrx for production AI apps * Experience with pytest, typed code, and mentoring/peer collaboration * A relevant degree in Computer Science or related field is required * Ability to debug and optimize asynchronous multi-agent workflows and state management Requisitos principales * Flexible work models * Remote work up to 40% * Personal development and extensive learning offering * Agile working methods * Collaborative team environment * Work culture focused on growth and inclusion

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