AI Engineer at Aqilea formerly Soltia

Stockholm, Stockholm, Sweden -

Full Time

Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Software Engineering, Python, Large Language Models, RAG, Cloud Platforms, Docker, Kubernetes, CI/CD, Backend Services, APIs, Data Privacy, Agile Development, Communication Skills, Ethical AI

Industry

IT Services and IT Consulting

Description

Company Description We are a consulting company with a bunch of tech-savvy and happy people! We love technology, we love design, and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where every individual is highly valued. With us, everyone can be themselves while respecting others for who they are. We believe that when an amazing mix of people come together and share their knowledge, experiences, and ideas, we can help our clients on a completely different level. We are looking for someone who can start immediately and wants to grow with us! With us, you have great opportunities to make real progress in your career and the chance to take on significant responsibility. Job Description As a Senior AI Engineer, you will lead the development of AI-driven products from concept to delivery. This is a hands-on engineering role with strong product ownership, focused on building end-to-end AI applications that solve real business problems and deliver measurable value. You will design, build, and iterate on AI-powered systems embedded directly into daily workflows. Working closely with users and cross-functional teams (Product, Engineering, Data, Platform), you will help define requirements, test ideas rapidly, and scale successful solutions. While the role includes platform and infrastructure responsibilities, the primary emphasis is on building reliable, usable, and impactful AI products. Key Responsibilities Design, build, and maintain reliable, scalable, and high-performing AI solutions and supporting infrastructure. Develop AI workflows using Large Language Model (LLM) APIs, Retrieval-Augmented Generation (RAG), and agent-based frameworks. Own AI products end-to-end: from problem discovery and prototyping through production deployment and iteration. Collaborate with cross-functional stakeholders to define requirements, ship new AI features, and continuously improve existing solutions. Build and manage backend services and APIs to support AI applications. Deploy and operate applications on Google Cloud Platform (GCP). Work with Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tools to ensure production readiness. Ensure ethical, secure, and compliant use of AI, including data privacy, model governance, and responsible AI practices. Stay up to date with advancements in AI, LLMOps, platform engineering, and emerging best practices. Qualifications Essential Skills & Experience Minimum 3+ years of experience in AI, machine learning, and/or software engineering. Strong proficiency in Python, with a solid understanding of data structures, algorithms, and software design patterns. Hands-on experience integrating LLMs, including RAG approaches and frameworks such as LangChain or similar. Practical experience with cloud platforms (preferably GCP). Experience with containerization and orchestration using Docker and Kubernetes. Familiarity with CI/CD pipelines and production-grade deployment workflows. Experience building backend services and APIs using frameworks such as FastAPI, REST, or GraphQL. Working knowledge of databases and data stores such as BigQuery, PostgreSQL, Redis, or Elasticsearch. Experience with Git and Agile development methodologies. Awareness of security, privacy, and ethical considerations in AI systems. Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Nice to Have Experience in Platform Engineering or Site Reliability Engineering (SRE). Background in Natural Language Processing (NLP), particularly summarization or information extraction. Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. Exposure to agentic workflows, MCP, or advanced orchestration patterns. Experience with data transformation and analytics tools such as dbt. Additional Information Start date: ASAP Mode of Work: Stockholm Form of employment: Full-time until further notice, we apply 6 months probationary employment. We interview candidates on an ongoing basis, do not wait to submit your application.

Responsibilities

As a Senior AI Engineer, you will lead the development of AI-driven products from concept to delivery, focusing on building end-to-end AI applications. You will collaborate with cross-functional teams to define requirements and ensure the delivery of reliable and impactful AI solutions.