Applied AI Engineer (f/m/x)

Description

Job Overview

• Role: Applied AI Engineer (f/m/x)
• Company: MAIA
• Location: Leipzig
• Employment Type: professional / experienced
• Category / Department: Remote, Software Development
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Remote, Software Development
• Listing Source: Arbeitnow

Job Description

MAIA is the AI platform built for industrial companies - where generic AI tools break down because the data is complex, the stakes are high, and precision actually matters. We focus on the hard problems: integrating with real engineering workflows, understanding complex technical documents, and turning implicit organizational knowledge into something the whole company can build on.

Our goal is to become the leading AI knowledge management platform for industrial companies in Europe - built for the companies that shape the physical world.

Our team consists of structured organizational talents, creative minds, and technology-enthusiastic engineers, all with several years of experience in B2B SaaS and AI.

We are looking for an Applied AI Engineer (f/m/x) to join our engineering team - someone who ships production-grade AI features end-to-end, from retrieval pipelines and agentic workflows to the APIs that power them.

Tasks

You build and evolve MAIA's core product capabilities. Your focus is backend and AI systems - RAG pipelines, retrieval strategies, agentic workflows, and LLM integrations that work reliably in production.

You design, implement, and ship features from discovery to production rollout, with a strong focus on backend and AI functionality.
You build and iterate on RAG pipelines, retrieval strategies, and LLM integrations, making pragmatic tradeoffs across quality, latency, and cost.
You build evaluation approaches for LLM features - quality gates, regression detection, and observability that makes non-deterministic systems debuggable.
You proactively scout new technologies and approaches, translate findings into production-ready solutions, and push the team's understanding of what is possible.
You collaborate closely with Product, DevOps, and customer-facing teams to turn requirements into high-quality, maintainable software.

Requirements

Technical requirements

• Strong backend engineering skills in TypeScript, or another strongly typed language (Go, Java, Rust) plus solid TypeScript fundamentals and the ability to contribute productively in a TypeScript codebase from day one.
• 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), for example Grafana, Sentry, PostHog, or equivalents.
• Foundational understanding of cloud and DevOps concepts, enough to collaborate effectively with a dedicated DevOps engineer and handle small operational tasks if needed.
• Ability to follow secure development best practices in day-to-day engineering work.
• Fluent in English. German is a plus.

Ways of working

• Strong ownership mentality - you take responsibility end-to-end, without needing to be managed.
• People enjoy working with you - not just because of what you know, but because of how you interact with them.
• AI is part of how you work - not just as a tool you use, but something you actively explore. You experiment with models, prompts, agents, and workflows, and you have informed opinions about what actually works.
• Pragmatic builder - you ship solutions at the right level of complexity for the stage, and you can explain why a simpler approach was the right call.
• You prioritize based on business impact and customer value, not technical interest alone.
• Comfortable working in a fast-moving startup environment with ambiguity and shifting priorities.
• You communicate clearly with both technical and non-technical stakeholders.

Nice to have

• Experience with Supabase.
• Experience with document analysis pipelines and preprocessing for retrieval.
• Experience with automated evaluation and testing for LLM features.
• Experience with LLM tracing and analytics

Benefits

What we offer you:

• A central role in the engineering team of a well-funded, fast-growing AI startup building for the industrial sector - where the AI problems are genuinely hard and the impact is tangible.
• Short decision-making paths, real ownership, and a team that trusts you to drive your work.
• Direct impact on product quality, AI capability, and company growth.
• Flexible working hours and fully remote in Germany
• Access to a WellPass fitness membership for your physical and mental wellbeing.
• Competitive salary of 75,000 - 85,000 EUR and VSOP (Virtual Stock Option Plan) participation opportunities.

We are a remote-first company and have been since day one. Most of our team is based in Leipzig, but remote team members are a natural part of how we work - not an exception. We do bring the full team together in Leipzig, or somewhere else, a few times a year for team events and planning sessions, with all travel and accommodation costs covered.

If you are somewhere in Germany you are in scope.

Hiring timeline: We are aiming to have this role filled by May 2026. The process consists of three stages: an intro call (30min), a technical interview (90min) and a final conversation with leadership.

We move quickly and will keep you informed at every step.

If this role sounds like the right next step for you, we would love to hear from you.

Find Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume / Application screening by the recruiting team
2. Technical phone or video screening (30–45 min) covering fundamentals
3. Take-home coding assignment or technical assessment
4. Two to three rounds of technical interviews (algorithms, system design, or domain knowledge)
5. Behavioral / culture-fit interview with the hiring manager
6. Offer discussion and reference checks

Tip: Candidates are encouraged to review common data structures, algorithms, and system design concepts before the technical rounds.

About the Employer

MAIA is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Leipzig. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Applied AI Engineer (f/m/x) position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: Remote, Software Development. Ensure these are prominently featured on your resume and LinkedIn profile.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.