M
AI

AI Engineer állás Budapest

MP Solutions Kft. · Budapest, PE, HU

Actively hiring Posted about 2 months ago

Responsibilities

  • Design, develop and deploy AI and generative AI (LLM-based) solutions from proof of concept to enterprise production
  • Build and maintain scalable data pipelines and model deployment workflows
  • Develop backend services and APIs for AI-driven applications (e.g., FastAPI, Flask)
  • Implement CI/CD and MLOps practices to automate model training, testing and deployment
  • Develop and integrate multi-agent and LLM-based systems into business workflows
  • Ensure reliability, scalability, observability and compliance of deployed solutions
  • Work closely with product owners, data scientists and architects to translate business needs into technical solutions
  • Contribute to engineering best practices and support junior team members when needed

Basic qualifications

  • Degree in Computer Science or a related field
  • Strong programming skills in Python (Java is also acceptable)
  • Experience with backend frameworks (FastAPI, Flask, Django or similar)
  • Hands-on experience with Docker and Kubernetes
  • Experience with CI/CD and MLOps pipelines
  • Cloud experience (Azure, AWS or Databricks)
  • Experience with data processing, ETL pipelines and APIs
  • Understanding of distributed systems and large-scale data platforms
  • Strong English communication skills
  • Proactive, problem-solving mindset and ownership attitude

Preferred qualifications

  • Experience with generative AI or LLM frameworks (e.g., LangChain, CrewAI)
  • Familiarity with enterprise platforms such as SAP AI Core or SAP BTP
  • Experience working in Agile environments (Scrum, SAFe) and tools like Jira

Benefits

  • Opportunity to work on large-scale, real-world AI transformation projects
  • Modern tech stack and exposure to cutting-edge AI technologies
  • International, collaborative working environment
  • Hybrid working model
  • Continuous learning and professional development opportunities
  • Competitive compensation package and standard corporate benefits
  • Supportive team culture focused on quality and innovation

Tags & focus areas

Used for matching and alerts on DevFound
Ai Ai Engineer Mlops Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.