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Lead Engineer - Applied AI & Data Products

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  • Level
    Lead
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    81.000 to 103.000€ Gross/Year
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will design the architecture for AI-powered software products, apply LLMs, lead customer workshops, and develop scalable data pipelines and APIs.

    Job Technologies

    Your role in the team

    • Are you excited about building smart, data-driven products using the latest AI technologies — and about owning the technical and customer-facing responsibility that comes with it?
    • At SQUER, we help our customers unlock the potential of AI through real-world software solutions — not by building custom models from scratch, but by applying LLMs, cloud-native AI services, and smart engineering.
    • Join our Product Delivery Unit and lead how applied AI enhances modern digital products.
    • AI-Powered Product Architecture: Design and own the architecture of AI-enhanced software products using modern cloud services and frameworks (e.g., Azure OpenAI, AWS Bedrock, LangChain).
    • Applied LLM & Expertise: Apply Large Language Models (LLMs), cognitive services, and related technologies to solve complex, high-impact customer problems independently.
    • Customer Consulting: Lead workshops and technical discussions with product managers, designers, and customer stakeholders, representing SQUER with confidence and identifying where AI adds measurable value.
    • Scalable Systems Design: Architect scalable data pipelines and APIs that power intelligent features in production-grade environments, taking full technical ownership.
    • Technical Leadership & Mentorship: Guide and develop engineers within your team, shape our applied AI engineering practices, and ensure project and team success.
    • Thought Leadership: Represent SQUER's applied AI expertise externally — through client relationships, internal knowledge-sharing, or community engagement.

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    Our expectations of you

    Education

    • Customer-Facing Confidence: Comfortable representing SQUER independently to customers with a high degree of professionalism.

    Qualifications

    • Cloud Platform Ownership: Confident designing and deploying AI-driven features on AWS, GCP, or Azure at production scale.
    • Data & API Architecture: Strong understanding of data processing, APIs, and databases (SQL & NoSQL), with the ability to make architectural decisions independently.
    • Leadership & Mentorship: Ability to guide, coach, and develop other engineers, and to take responsibility for a team's delivery and satisfaction.
    • Languages: Fluency in German and English.

    Experience

    • Extensive Software Engineering Experience: Several years of hands-on and architectural experience in software engineering (e.g., Python, Java, C#, JS/TS, or similar).
    • Applied AI Depth: Proven, independent experience applying AI services in production (e.g., LLMs, NLP APIs, cognitive services), not just experimenting.

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    What we offer

    • Ownership & Responsibility: at SQUER, we believe in empowering our team.
    • In our flat hierarchies, your ideas and actions matter more than titles.
    • Take the reins, make an impact and grow with us.
    • Learn & Grow: Tap into a € 5,000 annual training budget to sharpen your skills and take advantage of our in-house Leadership Academy.
    • Join and be part of our active tech community through meetups, hackathons and training sessions.
    • Get up to 40 hours per year of additional time off for your personal education.
    • Exciting Challenges & Real Impact: Dive into diverse projects where your work truly makes a difference – for our clients and for SQUER.
    • Flexibility for Performance: Benefit from hybrid work options, flexible hours, workations within the EU, and additional vacation days – giving you the freedom to perform at your best.
    • Tailored Tools for Success: Choose your preferred hardware configuration and leverage our suite of AI tools and licenses (Anthropic, OpenAI, and more) to suit your working style.
    • We Value You: Beyond perks and benefits, we offer a competitive annual salary to recognize your exceptional contributions.
    • Be Part of a Thriving Team Culture: At SQUER, collaboration and connection are at the heart of what we do.
    • Through open communication, shared successes, and meaningful team events – including our annual SQUER offsite – we cultivate a culture where everyone feels valued and inspired to grow together.
    • A Perks-Packed Workplace: Work in a central office near Ostbahnhof and enjoy meal vouchers, EGYM Wellpass membership, a free Deutschland-Ticket, JobRad, referral bonuses, Corporate Benefits, and Pluxee employee gifts for special occasions.
    • We believe in transparent and fair compensation.

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    Benefits

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    Job Locations

    • Location Munich

      August-Everding-Straße 25

      81671 München

      Germany

    This is your employer

    SQUER

    SQUER

    Wien, München

    We are a full-service provider that thinks agile and solves complex problems with technology. The result is efficient software solutions, successful product developments, and a precise agile evolution of our partner businesses.

    Description

  • Company Size
    50-249 Employees
  • Founding year
    2019
  • Language
    German, English
  • Company Type
    Digital Agency
  • Working Model
    Hybrid
  • Industry
    Consulting, Internet, IT, Telecommunication
  • Employer reviews

    by devworkplaces.com

    Total

    (1 Review)
    4.9
    • Engineering

      4.8
    • Workingconditions

      5.0
    • Career Growth

      5.0
    • Culture

      5.0
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    Lead Engineer - Applied AI & Data Products

    Salary
    81.000 to 103.000€ Gross/YearNet salary converted from the gross salary in the job ad using tax class I.48.580 to 59.534 € net/Year · Tax class I
    Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    Easy Apply
    Easy Apply

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