Senior Backend Engineer

Accountabilities: As a Senior Backend Engineer, you will take ownership of complex technical challenges and help shape the architecture, quality, and evolution of the platform. You will work closely with a small engineering team to build reliable systems, integrate AI capabilities, and deliver impactful solutions for users worldwide.

Own backend problem spaces end to end, from defining technical specifications and acceptance criteria to reviewing architecture and ensuring successful delivery.

Build AI-powered product capabilities that automate complex workflows and transform unstructured information into actionable business processes.

Design reliable AI systems with structured outputs, evaluation frameworks, monitoring, confidence controls, and human review mechanisms where needed.

Improve engineering workflows by introducing better specifications, tooling, and processes that increase team productivity and AI leverage.

Develop self-service tools and internal solutions using modern backend and frontend technologies to empower teams across the organization.

Maintain a high-quality engineering standard through testing, observability, metrics, tracing, alerts, and disciplined code reviews.

Work closely with users, challenge assumptions, and apply strong product judgment to build solutions that solve real business problems.

Requirements:

The ideal candidate is an experienced backend engineer with strong technical judgment, architectural expertise, and a passion for building AI-enabled products. You are comfortable working independently, collaborating remotely, and making decisions that directly influence product direction.

5+ years of experience building backend applications with strong knowledge of software architecture, service integrations, and scalable system design.

Strong SQL expertise, including experience with data consistency, indexing strategies, and handling complex database challenges.

Experience working in a specification-driven environment, with the ability to clearly define requirements, acceptance criteria, and technical solutions.

Strong understanding of modern AI engineering concepts, including LLMs, AI agents, MCP, coding assistants, and AI-powered development workflows.

Practical experience integrating AI into production systems and the ability to evaluate, improve, and challenge AI-generated outputs.

Strong product mindset with empathy for users and a focus on creating meaningful solutions.

Excellent collaboration skills, openness to feedback, and the ability to work with autonomy in a fast-moving environment.

Experience with Python, Flask, gRPC, PostgreSQL, Redis, Celery, Kubernetes, GCP, Vue.js, or building internal AI tooling is considered a plus.

Experience improving team AI adoption or developing agent-based engineering tools is an additional advantage.

Benefits:

Competitive compensation package.

€650 home office budget to support your remote setup.

Choice of a MacBook or Dell laptop provided before your first day.

Access to coworking spaces through a dedicated coworking partner.

24 paid vacation days in addition to local public holidays and special leave options.

Regular team gatherings, company offsites, and opportunities to connect with colleagues in person.

Permanent full-time employment through a global employment partner.

Flexible remote work opportunities across approved EMEA countries.

Supportive, diverse, and feedback-oriented culture focused on innovation and continuous improvement.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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