Senior AI Engineer
Avaron AB1 dag kvar
Sammanfattning
Join Avaron as an AI Engineer in a dynamic environment focused on developing and deploying production-grade AI solutions. Collaborate with Data Scientists and Engineers to transform prototypes into scalable applications within Google Cloud Platform. This role combines software engineering, data engineering, and MLOps practices, offering a unique opportunity to influence AI development in a complex enterprise setting.Jobbet i korthet
Anställningstyp
tillsvidareanstallning
Arbetstid
heltid
Det här erbjuder vi
Permanent employment at Avaron ABOccupational pensionWellness allowance of SEK 5,000 per year
Ansök senast: 2026-09-11
Publicerad: 2026-09-08
Beskrivning
About the Company
At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support - and whatever the assignment, you have a consultant manager who is there for you and your development.
About the Role
You will join an AI and Data Science environment where the focus is on turning advanced analytics into robust production solutions. In this role, you will design, build, deploy, and operate AI applications across a wide range of use cases, from traditional machine learning to generative AI and agent-based systems.
You will work close to Data Scientists, Data Engineers, and business stakeholders to turn ideas, prototypes, and requirements into scalable, secure, and maintainable solutions. The role sits at the intersection of software engineering, data engineering, cloud development, and MLOps/LLMOps, with a clear focus on making AI reliable in production.
A central part of the assignment is to help shape how AI solutions are developed and managed in a modern Google Cloud Platform environment. You will also contribute to the tooling, infrastructure, and engineering practices needed to support AI products at scale. This is a great opportunity if you enjoy combining hands-on AI engineering with platform thinking in a complex enterprise setting.
Job DescriptionYou will design, develop, deploy, and operate production-grade AI solutions across machine learning, generative AI, and agent-based use cases.
You will translate analytical and business needs into secure, scalable, and maintainable applications ready for real-world use.
You will work closely with Data Scientists to turn prototypes, models, and concepts into production-ready solutions.
You will help build and improve the platform capabilities, tooling, and infrastructure that support AI development and operations.
You will drive MLOps and LLMOps practices such as automation, CI/CD, version control, monitoring, and observability.
You will develop and manage cloud-native solutions in Google Cloud Platform.
You will work with Infrastructure as Code and container-based environments to enable efficient deployment and operations.
RequirementsMaster's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, Physics, or a related field.
Strong software engineering background with excellent programming skills in Python.
Experience designing, developing, deploying, and operating production-grade AI solutions.
Solid understanding of software architecture, distributed systems, and cloud-native application development.
Experience with MLOps and/or LLMOps practices, including CI/CD, version control, automation, monitoring, and observability.
Hands-on experience with Google Cloud Platform (GCP).
Experience managing cloud infrastructure using Infrastructure as Code (IaC), preferably Terraform.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Ability to work closely with Data Scientists and translate prototypes, models, and AI concepts into production-ready solutions.
Nice to haveExperience with Vertex AI or similar AI/ML platforms.
Experience building Generative AI applications, RAG solutions, AI assistants, or agent-based systems.
Experience integrating LLMs with enterprise tools, APIs, data platforms, and business processes.
Experience developing tools, services, or platforms that enable AI agents to interact with enterprise systems.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience working in large-scale enterprise environments with high requirements on security, reliability, and governance.
What We OfferPermanent employment at Avaron AB
Occupational pension
Wellness allowance of SEK 5,000 per year
Application
Selections are made on an ongoing basis - apply as soon as you can.
At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support - and whatever the assignment, you have a consultant manager who is there for you and your development.
About the Role
You will join an AI and Data Science environment where the focus is on turning advanced analytics into robust production solutions. In this role, you will design, build, deploy, and operate AI applications across a wide range of use cases, from traditional machine learning to generative AI and agent-based systems.
You will work close to Data Scientists, Data Engineers, and business stakeholders to turn ideas, prototypes, and requirements into scalable, secure, and maintainable solutions. The role sits at the intersection of software engineering, data engineering, cloud development, and MLOps/LLMOps, with a clear focus on making AI reliable in production.
A central part of the assignment is to help shape how AI solutions are developed and managed in a modern Google Cloud Platform environment. You will also contribute to the tooling, infrastructure, and engineering practices needed to support AI products at scale. This is a great opportunity if you enjoy combining hands-on AI engineering with platform thinking in a complex enterprise setting.
Job DescriptionYou will design, develop, deploy, and operate production-grade AI solutions across machine learning, generative AI, and agent-based use cases.
You will translate analytical and business needs into secure, scalable, and maintainable applications ready for real-world use.
You will work closely with Data Scientists to turn prototypes, models, and concepts into production-ready solutions.
You will help build and improve the platform capabilities, tooling, and infrastructure that support AI development and operations.
You will drive MLOps and LLMOps practices such as automation, CI/CD, version control, monitoring, and observability.
You will develop and manage cloud-native solutions in Google Cloud Platform.
You will work with Infrastructure as Code and container-based environments to enable efficient deployment and operations.
RequirementsMaster's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, Physics, or a related field.
Strong software engineering background with excellent programming skills in Python.
Experience designing, developing, deploying, and operating production-grade AI solutions.
Solid understanding of software architecture, distributed systems, and cloud-native application development.
Experience with MLOps and/or LLMOps practices, including CI/CD, version control, automation, monitoring, and observability.
Hands-on experience with Google Cloud Platform (GCP).
Experience managing cloud infrastructure using Infrastructure as Code (IaC), preferably Terraform.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Ability to work closely with Data Scientists and translate prototypes, models, and AI concepts into production-ready solutions.
Nice to haveExperience with Vertex AI or similar AI/ML platforms.
Experience building Generative AI applications, RAG solutions, AI assistants, or agent-based systems.
Experience integrating LLMs with enterprise tools, APIs, data platforms, and business processes.
Experience developing tools, services, or platforms that enable AI agents to interact with enterprise systems.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience working in large-scale enterprise environments with high requirements on security, reliability, and governance.
What We OfferPermanent employment at Avaron AB
Occupational pension
Wellness allowance of SEK 5,000 per year
Application
Selections are made on an ongoing basis - apply as soon as you can.
Ansök till tjänsten
Senior AI Engineer
1 dag kvar
OM FÖRETAGET
Avaron AB
