Fullstack Applied AI Engineer (f/m/x)

MAIA·Remote(Leipzig)
Software Development

WFA Digital Insight

As the demand for AI-driven solutions continues to soar, companies like MAIA are at the forefront of innovation. With the industrial AI market expected to grow exponentially, the need for skilled Fullstack Applied AI Engineers has never been more pressing. MAIA's commitment to tackling complex problems in AI knowledge management makes this role particularly exciting for those passionate about shaping the future of industrial tech. Before applying, candidates should be aware that a strong foundation in TypeScript, SQL, and cloud concepts is essential, as well as experience with LLM applications and vector databases.

Job Description

About the Role

The Fullstack Applied AI Engineer role at MAIA is a unique opportunity to work on cutting-edge AI solutions that transform the way industrial companies operate. As a key member of the engineering team, you will be responsible for building and evolving MAIA's core product capabilities, with a primary focus on backend and AI systems. This includes designing, implementing, and shipping features from discovery to production rollout, with a strong emphasis on quality, latency, and cost.

The role involves collaborating closely with cross-functional teams, including Product, DevOps, and customer-facing teams, to turn requirements into high-quality, maintainable software. You will be working on complex problems, such as integrating with real engineering workflows, understanding complex technical documents, and turning implicit organizational knowledge into actionable insights.

MAIA's engineering team is comprised of talented individuals with a passion for AI, SaaS, and industrial tech. As a Fullstack Applied AI Engineer, you will be expected to take ownership of your work, experiment with new technologies, and push the boundaries of what is possible.

What You Will Do

  • Build and evolve MAIA's core product capabilities, with a primary focus on backend and AI systems
  • Design, implement, and ship features from discovery to production rollout, with a strong emphasis on quality, latency, and cost
  • Collaborate closely with cross-functional teams, including Product, DevOps, and customer-facing teams, to turn requirements into high-quality, maintainable software
  • Develop and maintain RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost
  • Implement frontend changes needed to ship features end-to-end, with a focus on simple, intuitive UI work
  • Build evaluation approaches for LLM features, including quality gates, regression detection, and observability
  • Proactively scout new technologies and approaches, translating findings into production-ready solutions
  • Push the team's understanding of what is possible with AI and industrial tech
  • Participate in code reviews, ensuring high-quality, maintainable code
  • Collaborate with the DevOps team to ensure seamless deployment and operation of MAIA's products

What We Are Looking For

  • Strong backend engineering skills in TypeScript, or another strongly typed language (Go, Java, Rust)
  • Proven experience building and shipping production REST APIs
  • Strong SQL skills, ideally with PostgreSQL in production
  • Hands-on experience building or operating LLM applications, ideally with exposure to RAG systems and retrieval concepts
  • Commercial experience with at least one relevant LLM framework and at least one vector database
  • Practical experience debugging production systems using observability tooling (logs, metrics, tracing)
  • Solid React fundamentals and the ability to implement and maintain frontend components with good engineering quality and basic UX judgment
  • Foundational understanding of cloud and DevOps concepts, enough to collaborate effectively with a dedicated DevOps engineer
  • Ability to follow secure development best practices in day-to-day engineering work
  • Fluent in English, with German being a plus

Nice to Have

  • Experience with agile development methodologies and version control systems (e.g., Git)
  • Knowledge of containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
  • Familiarity with CI/CD pipelines and automated testing frameworks
  • Experience with cloud platforms (e.g., AWS, GCP, Azure)

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge AI solutions that transform the way industrial companies operate
  • Collaborative and dynamic work environment with a talented team of engineers
  • Professional development opportunities, including training and conference attendance
  • Flexible working hours and remote work options
  • Access to the latest tools and technologies
  • Recognition and reward for outstanding performance

How to Stand Out

  • Ensure you have a strong portfolio that showcases your experience with TypeScript, SQL, and LLM applications, as well as your ability to work on complex systems and collaborate with cross-functional teams.
  • Be prepared to discuss your approach to debugging production systems and how you stay up-to-date with the latest developments in AI and industrial tech.
  • Highlight your experience with cloud and DevOps concepts, as well as your ability to follow secure development best practices.
  • Research MAIA's products and services, and be prepared to discuss how your skills and experience align with the company's mission and goals.
  • Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or how the team approaches problem-solving.
  • Be prepared to provide specific examples of your experience with RAG pipelines, retrieval strategies, and LLM integrations, and how you have applied these skills in previous roles.

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