AI Engineer Generative AI & Backend Development - 20793

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Job Overview

Assignment Description

We are looking for an AI Engineer specializing in Generative AI to join a cross-functional Data & AI team.

The role covers the complete lifecycle of AI solutions, from idea generation and architecture to development, deployment and continuous improvement. You will build solutions using LLMs, Retrieval-Augmented Generation (RAG) and AI agents, while making technical decisions related to quality, cost, performance and security.

You will also develop robust backend and data solutions to ensure AI applications are scalable, reliable and secure in production.

What You Will Work On

• Design, develop and deploy Generative AI and LLM-based applications.

• Build RAG solutions, AI agents, prompt engineering and tool-calling capabilities.

• Make architectural decisions and evaluate technical trade-offs.

• Develop backend services, APIs, data pipelines, databases and system integrations.

• Implement deployment processes, CI/CD and observability.

• Ensure application performance, scalability, security and data protection.

• Work with technologies including Python, JavaScript, TypeScript, MongoDB, PostgreSQL, Redis, React.js, FastAPI, Celery, Azure Container Apps, Docker Compose, Azure DevOps and Bicep.

What You Bring

• Several years of experience in software and backend development, preferably with Python.

• Practical experience with Generative AI and LLM-based solutions, such as RAG or AI agents.

• Experience designing technical solutions and making architectural decisions.

• Experience with cloud platforms, containerization and CI/CD.

• Strong understanding of APIs, databases and distributed systems.

• Experience building and deploying production-ready solutions.

• Understanding of security, scalability and observability.

• Ability to independently drive technical initiatives from problem identification to delivery.

Meritorious

• Experience with vector search, embeddings and vector databases.

• Experience with agent frameworks and advanced LLM architectures.

• Kubernetes and Infrastructure as Code, such as Bicep.

• MLOps/LLMOps experience.

• AI security and guardrails.

• Asynchronous programming, such as Celery.

• Experience coaching developers or establishing technical practices.

• Frontend development knowledge.