AI Jobs

Other Requirements:

• Send resume at given email

Other Requirements:

• Send your resume at email address provided

Benefits:

• 4-day work week

• Flexibility at work

• Make Parenthood Matter programs

Experience Requirements:

• Senior level

Benefits:

• 4-day work week

• Flexibility at work

• Make Parenthood Matter programs

Experience Requirements:

• Senior level

• JavaScript

• React

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.

Experience Requirements:

• A minimum of 4 years of professional experience in full-stack development

• Focus on front-end engineering and API integration

• Strong proficiency in HTML, CSS, and JavaScript

• Extensive experience in React

• Experience with gRPC for client-server communication

Other Requirements:

• Excellent problem-solving and analytical skills

• Strong communication and collaboration skills

• Ability to work effectively both independently and as part of a team

Responsibilities:

• Design, develop, and implement exceptional user interfaces

• Collaborate closely with product managers, UX designers, and other stakeholders

• Develop and maintain API integrations

• Contribute to back-end development

• Build, test, and deploy full-stack web applications

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.

Experience Requirements:

• At least 2 years of industry experience in building and deploying production-level machine learning models

• Deep understanding and practical experience with NLP techniques and frameworks

• Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems

• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch

• Excellent skills in data processing (SQL, ETL, data warehousing)

Other Requirements:

• Excellent problem-solving skills

• Attention to detail

• Strong capacity for logical thinking

• Ability to work collaboratively in a fast-paced environment

Responsibilities:

• Conceptualize, develop, and deploy machine learning models

• Implement advanced machine learning algorithms

• Process and analyze large, complex datasets

• Work across the complete lifecycle of ML model development

• Implement A/B testing and other statistical methods

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field.

Experience Requirements:

• At least 4 years of relevant work experience.

• Solid background in algorithms, data structures, and object-oriented programming

• Experience in back-end development using languages like Python and Go

• Knowledge of database technologies like PostgreSQL, Elastic, Redis.

• Knowledge of designing and building API platforms and integration systems.

Other Requirements:

• Strong problem-solving skills

• Attention to detail

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Develop and maintain enterprise software applications

• Write clean, efficient, and maintainable code

• Build scalable and reliable back-end systems

• Develop and maintain APIs using REST and gRPC

• Build and maintain scalable and extensible data schemas

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's or Master's degree in Computer Science or related field.

Experience Requirements:

• 3+ years of experience in Infrastructure engineering, or a similar role

• Experience with public cloud networks like AWS, Azure and GCP

• Experience with Kubernetes, Helm, Terraform, and Istio

• Knowledge of automation tools like Ansible

• Experience with CI/CD pipelines

Other Requirements:

• Excellent problem-solving skills

• Ability to work under pressure in a fast-paced environment

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Partner with product teams to architect foundational infrastructure

• Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions

• Drive the automation of infrastructure tasks

• Collaborate closely with the software development team to refine CI/CD pipelines

• Architect and implement advanced observability solutions

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field.

Experience Requirements:

• At least 4 years of relevant work experience.

• Experience building products across the stack

• Solid background in algorithms, data structures, and object-oriented programming

• Experience in back-end development using languages like Python and Go

• Knowledge of database technologies like PostgreSQL, Elastic, Redis.

Other Requirements:

• Strong problem-solving skills

• Attention to detail

• Ability to work independently and as part of a team

• Experience working with global teams

Responsibilities:

• Develop and maintain enterprise software applications

• Write clean, efficient, and maintainable code

• Build scalable and reliable back-end systems

• Develop and maintain APIs using REST or GraphQL

• Integrate multiple enterprise applications and services

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.

Experience Requirements:

• Proven industry experience in building and deploying production-level machine learning models.

• Deep understanding and practical experience with NLP techniques and frameworks.

• Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems.

• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

• Excellent skills in data processing (SQL, ETL, data warehousing).

Other Requirements:

• Excellent problem-solving skills

• Attention to detail

• Strong capacity for logical thinking

• Ability to work collaboratively in a fast-paced environment

Responsibilities:

• Conceptualize, develop, and deploy machine learning models

• Implement advanced machine learning algorithms

• Lead the processing and analysis of large, complex datasets

• Work across the complete lifecycle of ML model development

• Implement A/B testing and other statistical methods

Education Requirements:

• Bachelor’s degree in Business, Marketing, Computer Science, or a related field.

• An MBA or equivalent experience is a plus.

Experience Requirements:

• 3-5 years of experience in product management, preferably in the tech or software industry.

• Strong understanding of product development processes, including agile methodologies.

• Ability to work with cross-functional teams and influence without direct authority.

• Excellent communication, leadership, and problem-solving skills.

• Analytical mindset with the ability to interpret data and make informed decisions.

Other Requirements:

• Strong organizational and project management skills

• Knowledge of user experience (UX) design principles

Responsibilities:

• Define and communicate the product strategy and roadmap

• Conduct market research and competitor analysis to identify opportunities

• Collaborate with engineering, design, and marketing teams to deliver products

• Prioritize product features, enhancements, and bug fixes

• Manage the product development lifecycle

Benefits:

• variable compensation

• equity

• benefits

Education Requirements:

• Degree in Computer Science, Engineering, Math, or equivalent experience.

Experience Requirements:

• 4+ years in consulting, engagement management, product, or as a founder—trusted by senior stakeholders.

• Ability to go beyond surface-level requests and solve the real business problem.

• Comfortable diving into architectural trade-offs, APIs, and agentic design with engineers.

• Natural ability to see the whole picture, anticipate downstream effects, and design resilient solutions.

• Experience in user research and workflow mapping, with a data-driven mindset.

Other Requirements:

• Entrepreneurial mindset

• Self-starter who thrives in ambiguity

Responsibilities:

• Understand Human Workflows: Partner with enterprise customers to map processes

• Design AI Employees: Translate workflows into agentic multi-agent systems

• Bridge Business and Technology: Turn client requirements into scalable capabilities

• Drive Strategic Roadmaps: Own the lifecycle of AI employees

• Champion Adoption & Value: Ensure customers achieve measurable ROI

Benefits:

• Competitive compensation package

• Pleasant working environment in Stuttgart office

• Work with a team of young enthusiasts

• High involvement in sustainable actions

Education Requirements:

• Completed commercial vocational training

• University degree in Business or Administrative Sciences

Experience Requirements:

• Proven experience in office administration

• Strong time management and multitasking skills

• Proficiency in office applications

• Ability to learn new software and systems

Other Requirements:

• Fluent German (mandatory)

• Fluent English

• Team spirit and independent problem-solving skills

• Submission of CV and motivation letter required

Responsibilities:

• Daily management of the Stuttgart office

• Optimization of internal processes and projects

• Support for management and project leads

• Handling mail and archiving documents

• Preparing invoices and maintaining customer databases

Education Requirements:

• Degree in Computer Science, Electrical Engineering, or a related technical or scientific field with a focus on Machine Learning preferred.

Experience Requirements:

• 10+ years in semiconductors, edge AI, or embedded hardware solutions account management

• Demonstrated success closing deals with Tier-1 OEM and ODM customers

• Deep understanding of design-in, qualification, and production cycles

• Existing relationships within semiconductor, embedded, and industrial AI ecosystems

Other Requirements:

• Strong commercial instincts with a builder mentality

• Technically fluent and credible with engineering teams

• Skilled in negotiating complex, multi-year commercial agreements

• Able to operate independently in a fast-moving startup environment

• International OEM / ODM experience

Responsibilities:

• Own strategic account relationships from first engagement through production

• Drive commercial adoption of Blumind’s edge AI products and IP

• Develop account-level strategies aligned with our product development cycles and roadmap

• Build partnerships with semiconductor vendors, module suppliers, OEMs and platform providers

• Work directly with customer engineering teams to support evaluations, pilots, and design-ins