(Senior) AI Engineer (Remote - Europe) at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Python, SaaS, LLM Integration, Embeddings, Vector Databases, Cloud AI Platforms, Collaboration, Communication, Testing, CI/CD, Version Control, Mentorship, Technical Strategy, Orchestration Tools, Production Services

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a (Senior) AI Engineer (m/f/d) in Europe. This role offers the opportunity to design and build next-generation AI systems that will shape the experience of millions of frontline employees. You will work on production-ready AI features, leveraging large language models, embeddings, and vector search technologies to enhance core SaaS workflows. The position provides both technical depth and product impact, allowing you to architect scalable, reliable AI services while collaborating closely with product, design, and engineering teams. You will help define AI best practices and standards, contributing to long-term technical strategy and mentorship. The role is remote-first with occasional team events, offering flexibility and exposure to a fast-growing, mission-driven environment. Accountabilities Architect, develop, and maintain AI-powered production services with a focus on robustness, scalability, and performance. Integrate AI features seamlessly into existing user-facing workflows and internal systems. Work hands-on with modern AI stacks, including vector databases, orchestration tools, and cloud AI platforms. Collaborate with cross-functional teams (product, design, and engineering) to deliver high-impact solutions. Ensure reliability through testing, monitoring, and observability of AI systems in production. Lead technical discussions, mentor colleagues, and define best practices for AI engineering across the organization. 5+ years of software engineering experience, preferably in SaaS environments. Strong proficiency in Python and experience building production-grade services. Hands-on experience designing, deploying, and scaling LLM-powered systems. Solid understanding of software development best practices (testing, CI/CD, version control). Applied AI/ML experience with embeddings, vector databases, and LLM integration. Excellent collaboration and communication skills. Nice-to-haves: Experience with AI frameworks such as Pydantic AI, LangChain, or LlamaIndex. Knowledge of PostgreSQL and pgvector. Familiarity with prompt engineering, agentic AI, or fine-tuning techniques. Experience with cloud AI providers, particularly Azure OpenAI. Remote-first work mode with flexibility to work from home and optional in-person events in Berlin or Stuttgart. Work-life balance perks including E-Gym-Wellpass membership and job bike leasing. Collaborative and motivating work environment with regular team events and culture days. Opportunity to shape core AI features and influence long-term product strategy. Possibility to work abroad within the European Union. Inclusive environment welcoming all genders, identities, and backgrounds. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Architect, develop, and maintain AI-powered production services focusing on robustness, scalability, and performance. Collaborate with cross-functional teams to integrate AI features into existing workflows and ensure reliability through testing and monitoring.