AI Engineer

• Own the technical delivery of a product or large, self-contained feature area, from architecture through production deployment and operation
• Make architecture and technology decisions independently
• Support migrations to PHP 8.5 or the AWS Cloud
• Work on core platform components, including the PHP backend, MySQL/MariaDB, MongoDB, and Kubernetes
• Translate customer requirements into precise specifications that coding agents can implement
• Challenge requirements from a technical and functional perspective
• Evaluate AI-generated output based on results and tests
• Systematically review AI output for inconsistencies, hallucinations, and bias
• Develop solutions as an equal partner with the Product Builder
• Coordinate integration interfaces with other engineering teams

Senior Software Engineer – AI-First Development

• Define and drive the long-term technical strategy for AI-powered content systems
• Shape architectural direction across teams and domains, including platforms, tooling, AI infrastructure, and build-versus-buy decisions
• Lead frameworks for AI evaluation, quality measurement, governance, observability, security, and operational reliability
• Partner with senior Engineering, Product, Content, and Data leaders on technical roadmaps and investment decisions
• Identify organisation-wide technical risks, dependencies, and opportunities
• Establish engineering standards, architectural principles, and operating practices
• Mentor Principal and Senior Engineers through coaching, design reviews, and technical leadership
• Lead and contribute to complex technical initiatives and unblock challenging technical problems
• Translate strategic requirements into technical direction, support work decomposition, guide implementation, and resolve delivery challenges
• Deliver with coding agents and improve their use across the team

Senior Principal Engineer – AI Content Systems

• Build your own customer base through targeted cold outreach
• Identify and contact prospective customers
• Communicate the value of Bardioc AI-powered Semantic Data Platform through product demonstrations and consulting
• Take responsibility for the entire sales process
• Generate and qualify leads
• Prepare and present proposals
• Negotiate and close contracts

Sales Manager – AI Platform

• Lead projects from initial concept through production-ready applications
• Choose and evaluate the best technology stack and tools for each project
• Build front-end and back-end solutions primarily with TypeScript, React, Node, and Tailwind
• Integrate AI solutions using LangChain, OpenAI, Google Vertex AI, and Azure AI
• Set up analytics and event tracking using tools such as Mixpanel and PostHog
• Validate technologies through practical, real-world testing
• Collaborate with designers, researchers, and users to build useful products
• Communicate directly with clients, ask insightful questions, and clarify goals
• Shape the technology and develop practical AI products for enterprise clients

Senior Full Stack Engineer, AI

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes.
• Design tasks that reflect real-world backend engineering scenarios.
• Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs.
• Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Evaluate code for correctness, reliability, maintainability, and performance.
• Incorporate automated testing and clear validation criteria into coding tasks.
• Identify and account for edge cases, performance bottlenecks, and potential implementation errors.
• Apply secure coding principles and cybersecurity considerations where relevant.
• Refine tasks and verification logic based on project requirements and quality standards.

Backend Software Engineer – AI Training Projects

• Further develop the platform using Python and FastAPI
• Connect AI agents, language models, and customer applications via APIs and integration tools
• Ensure customer data is protected, access is secure, and Docker operations are reliable
• Extend the existing React interface as needed
• Contribute to technical decisions within the team
• Advance AI-supported development processes
• Create and reuse proven approaches as Skills
• Engage directly with customers and provide technical advice as a sparring partner
• Take responsibility for production operations and code quality

Python Backend Developer – Focus on AI Platform

• Define and execute the go-to-market strategy for Germany
• Identify and win new large enterprise accounts
• Build, nurture, and leverage strategic partnerships with hyperscalers and the local tech ecosystem to unlock joint opportunities
• Manage complex solution sales cycles from discovery through closing
• Confidently present the value of tailored AI solutions to C-level stakeholders
• Build long-term strategic customer relationships as a trusted advisor
• Support customers in implementing their AI roadmaps
• Represent ML6 as a speaker at local events
• Collaborate with Marketing to increase brand awareness and lead generation
• Share best practices with the team and coach colleagues

GTM Lead – AI Solutions

• Architect and develop the server-side RAG pipeline, from query processing, embedding, and vector search through to prompt construction.
• Build the frontend and backend while ensuring that all LLM API calls remain strictly server-side.
• Integrate a three-tier subscription model, including a 7-day trial, via Stripe.
• Implement robust webhook logic for tier validation directly in the database.
• Build an automated pipeline that transcribes new audio and video content via the Whisper API, cleans it, splits it into chunks, and loads it into the vector database.
• Develop an internal behavioral analytics dashboard for real-time monitoring of search queries, emotional tone, content gaps, and limit usage.
• Align technical decisions with the Project Lead.

Full-Stack AI Developer – Engineer

• Design, build, and deploy AI agents and agentic systems for global SaaS products
• Develop LLM-powered services and multi-agent architectures enabling models, tools, and data sources to work together across complex workflows
• Build, fine-tune, and deploy open-source LLMs and transformer-based models for intelligent search, entity resolution, information extraction, and document understanding
• Design and operate RAG pipelines and AI services using structured and unstructured enterprise data
• Own AI solutions end-to-end, from experimentation and model selection through deployment, monitoring, optimization, and production operation
• Collaborate with a talented, forward-thinking team in Mannheim

Senior AI Engineer

• Complete a dual study program leading to a B.Sc. in AI Engineering starting August 27, 2027
• Study at the University of Magdeburg and apply the knowledge you acquire during practical phases at Heraeus
• Gain insight into the key operational processes of the business unit
• Contribute to projects
• Learn the fundamentals of computer science, engineering, and artificial intelligence
• Develop and apply AI methods, models, and technologies
• Build a foundational understanding of the specialization, including its associated data, models, and challenges
• Identify areas where AI can be used in companies and assess their suitability for implementation

AI Engineer jobs in Germany