Senior AI Engineer – Backend, AI Systems

Job not on LinkedIn

4 hours ago

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Logo of GTT

GTT

Telecommunications • Security • Cloud Computing

GTT is a global leader in networking and security solutions, providing a comprehensive suite of services including managed SD-WAN, secure cloud networking, and cybersecurity. With a strong emphasis on secure and simplified connectivity, GTT serves businesses around the globe by connecting people and machines to data and applications. Their platform offers visibility, insights, and orchestration, ensuring continuous network performance through advanced technologies such as AI. GTT caters to a wide range of sectors including financial services, manufacturing, retail, and media, leveraging its top-ranked Tier 1 global backbone network to deliver outstanding performance and security. The company also supports businesses with professional and managed services, enhancing their networking experience and enabling digital transformations.

1001 - 5000 employees

📡 Telecommunications

🔐 Security

💰 $175M Post-IPO Equity on 2018-03

📋 Description

• As a key member of our founding team, you will play a critical role in developing the core backend and AI capabilities of our platform. • Build the Backend Fabric: Guide the AI-augmented development of high-performance, modular Python services that form the backbone of our ecosystem. • Architect API-Driven Communication: Implement and evolve the gRPC-based APIs that enable seamless, efficient communication between the orchestrator and its various tools. • Orchestrate AI & LLMs: Integrate and harness Large Language Models to drive complex workflows, tool selection, and advanced reasoning capabilities. • Develop Scalable Data Strategies: Architect and manage our data persistence layer, combining the strengths of relational (PostgreSQL) and vector (ChromaDB) databases. • Create Robust Data Pipelines: Build and optimize the data ingestion and processing pipelines that continuously enrich our AI's knowledge base. • Collaborate on Core Architecture: Work directly with the Lead Architect to solve challenging technical problems, make key design decisions, and guide the platform's technical direction.

🎯 Requirements

• 5+ years of professional experience building complex, scalable backend systems. • Expert-level Python proficiency, with a deep understanding of object-oriented design, concurrency, and best practices. • Strong, demonstrable experience designing and building APIs (gRPC is a significant advantage; extensive REST/FastAPI experience is also highly valued). • Solid experience with PostgreSQL (or similar relational databases) and proficiency with an ORM like SQLAlchemy. • Practical understanding of Vector Databases (e.g., ChromaDB, Milvus) and their role in AI applications like RAG. • Hands-on mastery of Docker for building, shipping, and running applications. • Experience integrating with third-party LLM APIs and a solid grasp of concepts like tool calling and prompt engineering. • A forward-thinking mindset with a demonstrable ability to understand, review, and integrate complex codebases, including those generated with AI assistance.

🏖️ Benefits

• Flexible Work Environment • High Degree of Autonomy • Direct Collaboration

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