AI Software Engineer (m/f/x)

Facturee

Berlin

Vor Ort

EUR 90.000 - 140.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Flat hierarchies
Permanent employment contract
Training budget
Lunch provided (daily)
Deutschlandticket subsidy
Modern equipment (MacBook, iPhone, etc
Home office allowance
Team events
Office in Berlin Osram-Höfe

Zusammenfassung

FACTUREE is seeking an AI Software Engineer (m/f/x) to design and build AI capabilities that power our production platform. This is production software, not model training, and you will ship reliable AI features across the stack.

You will collaborate with Engineering, Product, and QA to turn AI capabilities into production-ready services, integrations, and workflows that deliver real value to customers, suppliers, and internal teams.

Qualifikationen

  • Production software experience across systems.

Aufgaben

  • Design and build AI-powered features for customers, suppliers, and internal teams
  • Develop LLM-powered workflows and intelligent automation within products
  • Enable natural language interaction and AI-supported user experiences across the FACTUREE platform
  • Build AI capabilities for document understanding, drawing analysis, structured data processing, and workflow automation
  • Integrate AI services into existing backend systems and product workflows
  • Prototype new AI capabilities and evolve them into production-ready solutions
  • Design context management, retrieval strategies, prompting approaches, and evaluation datasets
  • Build evaluation pipelines, feedback loops, and quality controls for AI systems
  • Monitor quality and reliability of AI-powered features in production
  • Collaborate with Product and domain experts to translate business processes into AI solutions
  • Identify risks and safeguards for AI-supported workflows

Kenntnisse

LLM APIs
Agentic workflows
TypeScript
Node.js
Python tooling
RAG & vector search
Backend services
AI evaluation & benchmarks
Data quality & ground truth
AI risk awareness

Tools

TypeScript
Node.js
Python

Jobbeschreibung

Summary

At FACTUREE, we are transforming the manufacturing industry through digitization, automation, and AI-powered workflows. As a AI Software Engineer (m/f/x), you will design and build AI capabilities that become an integral part of our production platform. This is not a research or model‑training role. We are looking for a software engineer who enjoys turning the latest AI capabilities into reliable, maintainable products that create real value for customers, suppliers, and our internal teams. Working closely with Engineering, Product, and QA, you will turn AI capabilities into production‑ready software that integrates seamlessly into our platform while meeting the same standards for quality, reliability, and maintainability as every other part of our system.

How we build software

We care about building a team where people enjoy their work and enjoy working together. Product and Engineering collaborate closely, and everyone is encouraged to contribute ideas, take ownership, and challenge assumptions. We believe responsibility goes hand in hand with trust, open communication, and supporting each other. That creates an environment where people can do their best work while continuously learning and improving.

Your responsibilities with us
  • Design and build AI-powered features for customers, suppliers, and internal teams
  • Develop LLM-powered workflows, assistants, and intelligent automation within our products
  • Enable natural language interaction and AI-supported user experiences across the FACTUREE platform
  • Build AI capabilities for document understanding, technical drawing analysis, structured data processing, and workflow automation
  • Integrate AI services into existing backend systems and product workflows
  • Prototype new AI capabilities and evolve them into reliable production-ready solutions
  • Design robust context management, retrieval strategies, prompting approaches, and evaluation datasets
  • Build evaluation pipelines, feedback loops, and quality controls to continuously improve AI system performance
  • Monitor the quality, reliability, and effectiveness of AI-powered features in production
  • Collaborate closely with Product and domain experts to translate complex business processes into practical AI solutions
  • Identify limitations, risks, and failure scenarios of AI-supported workflows and implement appropriate safeguards
Your professional skills
  • Strong software engineering experience building production systems
  • Experience integrating LLM APIs into production software
  • Experience designing agentic workflows and AI applications that interact with external tools and services
  • Strong coding skills, ideally with TypeScript and Node.js (Python experience is beneficial for tooling, experimentation, and AI ecosystems)
  • Solid understanding of retrieval-augmented generation (RAG), embeddings, vector search, and context management
  • Experience building backend services, APIs, and integrations around AI capabilities
  • Experience evaluating AI systems using structured benchmarks, automated evaluation, or human feedback
  • Understanding of data quality, ground truth creation, and systematic evaluation of AI outputs
  • Awareness of AI-specific risks such as hallucinations, privacy, prompt injection, and excessive automation
  • Experience building document and image understanding solutions using multimodal AI is a plus
Your personal skills
  • Strong ownership mentality and a pragmatic approach to problem solving
  • Curiosity about emerging AI technologies combined with a solid engineering mindset
  • Ability to balance experimentation with long-term maintainability
  • Collaborative working style and the ability to communicate effectively across technical and business disciplines
  • Ability to make pragmatic technology decisions based on business value rather than hype
  • Continuous learning mindset and enthusiasm for exploring new approaches
  • Strong written and spoken English communication skills
What makes this role interesting
  • Build AI capabilities that are used every day in real production workflows
  • Work on challenging problems involving manufacturing, sales, procurement, and workflow automation
  • Help shape the future AI capabilities of an established software platform rather than building isolated prototypes
  • Collaborate closely with Product and Engineering to turn complex business processes into intuitive AI-powered experiences
  • Work with modern LLMs, multimodal AI, retrieval systems, and agent-based workflows while applying them to meaningful real-world problems
  • Join a team that values pragmatic engineering, technical quality, and sustainable software development
What we offer to you
  • Flat hierarchies, collegial cooperation, and many opportunities to contribute ideas
  • Permanent employment contract
  • Family-friendly personnel policy
  • Structured onboarding from day one, joint growth, and gradual assumption of more responsibility
  • Training budget and individual support for skills development and mental health
  • Access to corporate benefits platform
  • 50 € monthly benefit in kind
  • State-of-the-art technical equipment, including MacBook, iPhone, noise-canceling headphones, height-adjustable desks, two monitors, and an additional monitor for your home office
  • 6 days of home office allowance per month
  • Daily free lunch together, freshly prepared by our chef
  • Free drinks, snacks, fruit, and breakfast
  • Subsidy for the Deutschlandticket
  • Regular company and team events
  • Large office with air‑conditioned workspace
  • Pleasant working environment in Berlin's Osram-Höfe with terrace, nearby shopping facilities, gym, brewery, restaurants, and bars
  • Very good transport connections and free parking
Your contact at our company

Does this sound like the perfect challenge for you? Then apply now and become part of our team. We look forward to receiving your application! If you have any questions, please contact us by email at: career@facturee.de

Our application process
  • Screening of your application documents
  • Virtual initial interview with Hannah (People Operations Manager)
  • Personal interview with Christopher (CPO), Christoph (Head of Digital Product), and Hannah
  • Meet the team
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