Generative AI Developer

Job not on LinkedIn

November 19

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ELITS

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Telecommunications • IT-Consulting • DevOps

ELITS is a company founded in 2006 that has grown from a small team to a global workforce. It aims to be one of Sweden’s best workplaces by focusing on customer satisfaction and employee development. ELITS offers a diverse range of roles, including telecommunications, IT consulting, DevOps development, and more. The company values strong relationships with employees, customers, and communities, emphasizing honesty, transparency, and continuous improvement. With a family-friendly culture, ELITS promotes work-life balance, creativity, and simplicity in its operations.

51 - 200 employees

📡 Telecommunications

📋 Description

• Develop, deploy, and maintain AI Gateway and related generative AI services. • Implement integrations with Cloud Management System, Portal, and other internal or external platforms using modern API protocols. • Configure, deploy, and optimize LLMs and AI pipelines for production workloads. • Collaborate with coworkers in the AI & Data team and other engineering groups to integrate AI services across the cloud platform. • Contribute to CI/CD pipelines, automation, and operational processes for AI services. • Maintain and operate AI infrastructure on Linux systems with proper monitoring and observability. • Develop services using TypeScript, Python, PHP, and Rust, with a strong willingness to learn new languages as required. • Participate in code reviews, unit testing, and documentation. • Support workflow automation and integration with tools such as n8n and related open-source projects.

🎯 Requirements

• Advanced expertise in generative AI with a strong foundation in programming (Python, TypeScript, PHP, or Rust). • Hands-on experience deploying and optimizing LLMs. • Working familiarity with Unix-based systems (Linux or macOS). • General understanding of LLMs, memory and context management, and performance optimization. • Experience with prompt engineering and integration protocols (OpenAPI, MCP). • Hands-on experience with API integration and no-code/low-code development approaches. • Knowledge of Linux systems, SQL, and DevOps practices. • Collaborative mindset for working in cross-functional teams. • Experience with workflow automation tools (n8n) and related open-source projects (e.g., Langfuse, PyTorch, Candle, Llama-CPP). • Experience contributing to open-source AI/ML frameworks. • Familiarity with cloud orchestration and containerization using Kubernetes and Docker. • Knowledge of GPU deployment and optimization. • Experience with multimodal interfaces and data management. • Knowledge of monitoring, logging, and observability for AI workloads.

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities