AI Jobs

Benefits:

• Transparency of business strategies

• Working in Berlin office including 2 home office days per week

• Autonomy balanced by responsibility

• Professional educational opportunities

• German language courses and public transport included

Experience Requirements:

• Expertise across disciplines suitable for machine learning and data science software products

Other Requirements:

• Acceptance of unsolicited applications if experiences do not perfectly align

Responsibilities:

• Developing artificial intelligence software for process optimization in steel mills

• Applying machine learning (image/signal processing, supervised/unsupervised modeling)

• Helping to further develop industry leading solutions across disciplines

Benefits:

• Competitive compensation

• Welcoming atmosphere

• Commitment to an exceptional asynchronous work culture

• Autonomy fostering focus and creativity

• Opportunity to have a significant impact in a revolutionary industry

Experience Requirements:

• Proven experience in backend development: TS/Node (required)

• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers

• Experience with Docker and containerized deployments (preferred)

• Proficiency in deploying high availability applications on Kubernetes (preferred)

Other Requirements:

• Strategic thinking and passion for making product decisions

• Obsession with winning and fast delivery

Responsibilities:

• Design, develop, and maintain robust APIs (TTS, Payment, Subscription, Auth)

• Oversee the full backend API landscape, enhancing for performance

• Collaborate on B2B solutions and enterprise client integration

• Align backend architecture with overall product strategy and user experience

Experience Requirements:

• 6+ years of experience in B2B GTM, regional, or field marketing

• Experience in infrastructure, cloud, AI, or data platforms

• Experience working with sales and partner teams

• Comfort operating within defined GTM frameworks

Other Requirements:

• Willingness to travel across Western Europe

Responsibilities:

• Activate global and regional go-to-market campaigns in Western Europe

• Own regional prioritization and execution planning for campaigns

• Support regional sales teams for complex multi-stakeholder opportunities

• Engage with partners and developer communities to support adoption

• Provide structured feedback on regional market readiness

Benefits:

• Competitive compensation including salary, equity, and rapid growth potential

• 100% company-paid Medical, Dental, and Vision coverage for employees

• FSA, HSA, and 401(k) options

• Generous paid time off plus company-wide holidays

• Commuter benefits

Experience Requirements:

• 5+ years of full-cycle sales experience

• 2+ years of demonstrated success selling to Federal Government agencies

Other Requirements:

• Experience engaging systems integrators, resellers, and distributors

• Knowledge of government contracting processes and regulatory compliance

• Ability to identify and engage key decision-makers

• Strong persuasive communications tailored to diverse audiences

Responsibilities:

• Run point on U.S. Department of Defense and Intelligence Community sales efforts

• Oversee and expand the entire National Security territory

• Prospect new opportunities and run the full sales cycle

• Partner with customer success on cross-selling and upsell opportunities

• Apply best practices to define and operate a government-oriented sales program

Benefits:

• Competitive compensation including salary, equity, and rapid growth potential

• 100% company-paid Medical, Dental, and Vision coverage for employees

• FSA, HSA, and 401(k) options

• Generous paid time off plus company-wide holidays

• Commuter benefits

Experience Requirements:

• 10+ years of full-cycle sales experience

• 5+ years of demonstrated success selling to Federal Government agencies

Other Requirements:

• Experience engaging systems integrators, resellers, and distributors

• Knowledge of government contracting processes and regulatory compliance

• Ability to navigate complex challenges with analytical rigor

• Craft persuasive communications tailored to diverse audiences

Responsibilities:

• Run point on U.S. Department of Defense and Intelligence Community sales efforts

• Oversee and expand the entire National Security territory

• Prospect new opportunities and run the full sales cycle

• Exceed quota and increase foothold through strategic prospecting

• Mentor other team members and develop their capabilities

Benefits:

• Opportunity to create lasting impact

• Direct exposure to the CEO

• Influence on the company’s direction

• Ownership and flexibility over rigid schedules

• Accelerated knowledge of high stakes decisions

Experience Requirements:

• Prior experience in GTM, business development, or related market expansion roles

• Experience working in different cultural environments

Other Requirements:

• Mental resilience and physical stamina

• Ability to operate in an ambiguous and self-driven work environment

• Intellectual curiosity

• Interest in what Ailytics is doing

Responsibilities:

• Design, validate, experiment and execute market entry strategies

• Represent Ailytics at industry events and trade shows

• Engage customers, partners, regulators, and ecosystem players

• Lead early-stage commercial execution in new markets

• Work with Tech and Customer Success teams to adapt product

Education Requirements:

• Bachelor's degree in Computer Science, Information Security, or a related field.

Experience Requirements:

• 6+ years of experience in security engineering with a primary focus on application and cloud security

• Proficiency with programming languages like Java, Python, JavaScript and SQL

• In-depth knowledge of application security vulnerabilities and threat modeling

• Deep familiarity with AWS security architecture and services

• Experience with DevSecOps tools (SAST, DAST, container scanning)

Other Requirements:

• Certifications such as OSCP, AWS Security Specialty, or CISSP preferred

• Experience in high-compliance industries (financial services, healthcare) preferred

Responsibilities:

• Perform security assessments across our application stack

• Build and maintain secure SDLC practices

• Design and maintain secure configurations for AWS environments

• Champion a shift-left approach to security

• Support compliance initiatives by building and documenting controls

Experience Requirements:

• 4+ years of experience in backend engineering

• Strong backend programming skills like Java, Node.JS, or similar

• Proven experience building and scaling distributed services, APIs, and event-driven systems

• Familiarity with infrastructure tools such as Docker, Kubernetes, and CI/CD pipelines

• Experience integrating services with data stores and message queues

Other Requirements:

• Experience working on AI-enabled or ML-integrated platforms preferred

• Prior experience working in fast-paced, high-growth product teams

Responsibilities:

• Design and build high-availability, low-latency services

• Contribute to orchestration logic for tool invocation and session management

• Integrate backend systems with AI components like language models

• Identify and resolve performance bottlenecks and scalability challenges

• Participate in design and architecture reviews and mentor junior engineers

Experience Requirements:

• 5–8 years of core DevOps experience building infrastructure from scratch

• Deep expertise in Docker, Kubernetes, Helm, and container orchestration

• Hands-on with Terraform, Crossplane, and declarative infrastructure management

• Proven ability to deploy AI/LLMs and agent workflows reliably in production

• Expertise with vector databases (tuning and scaling)

Other Requirements:

• Proficiency in monitoring and logging tools (Prometheus, Grafana)

• Proficiency in scripting/programming (Python, Bash, Go)

• Knowledge of security best practices in cloud environments

Responsibilities:

• Design, implement, and scale infrastructure across AWS, GCP, or Azure

• Build and manage Kubernetes clusters and service mesh

• Architect CI/CD pipelines (ArgoCD/GitOps, Jenkins)

• Define and track key metrics for AI/LLMs and agent workflows

• Implement end-to-end tracing for multi-turn queries using OpenTelemetry

Experience Requirements:

• 8+ years of experience in backend or platform engineering

• Deep understanding of scalability, consistency, concurrency control, and fault tolerance

• Strong experience building service-oriented architectures with APIs and event streams

• Hands-on experience with Vector DBs (Weaviate, Pinecone, etc.)

• Expertise in Go, Rust, Java, or Python

Other Requirements:

• Solid understanding of SQL/NoSQL databases and caching systems

• Experience with cloud-native architectures (Kubernetes, Istio, Terraform)

Responsibilities:

• Architect and build low-latency, fault-tolerant distributed systems

• Optimize system performance from network I/O to database indexing

• Enable AI integrations by designing APIs for RAG and embeddings

• Implement streaming and async systems like Kafka or Pulsar

• Raise the bar for code quality, observability, and technical mentoring

Benefits:

• Comprehensive Benefits

Experience Requirements:

• 7-10 years of experience in building and delivering complex, scalable technical products

• Extensive experience with distributed systems and microservices

• Proven track record with real-time interactions (web sockets, long-polling)

• Hands-on experience implementing security and data protection measures

• Proficiency in advanced prompt engineering

Other Requirements:

• Strong advocate for Test-Driven Development (TDD)

• Proficiency in Go, Java, Node.js, or Python

Responsibilities:

• Architect and optimize scalable microservices and APIs

• Implement complex workflows using event-driven architectures like Kafka

• Design and manage robust data models using SQL and NoSQL

• Conduct thorough code reviews and mentor junior developers

• Ensure system reliability via monitoring and logging solutions

Benefits:

• Generous PTO & Holiday Schedule

• Parental Leave

• Progressive Healthcare Options

• Retirement Programs

• Opportunity for Education Reimbursement

Education Requirements:

• Bachelor’s degree or equivalent

Experience Requirements:

• Self-starter mentality

• Communication and social media skills

Other Requirements:

• Interpersonal, decision-making, and organizational skills

• Ability to acquire and maintain knowledge of the IAM market

Responsibilities:

• Produce qualified meetings for Sales

• Achieve key metrics for sales growth

• Assist with research on companies for lead generation

• Build and maintain alignment with Sales and Marketing

• Ensure data integrity of Salesforce (CRM)

Benefits:

• Generous PTO & Holiday Schedule

• Parental Leave

• Progressive Healthcare Options

• Retirement Programs

• Opportunity for Education Reimbursement

Education Requirements:

• Bachelor’s degree or equivalent

Experience Requirements:

• Self-starter mentality

• Experience in sourcing, contacting, educating, and qualifying prospects

Other Requirements:

• Role requires 50% travel

• Interpersonal, decision-making, and organizational skills

Responsibilities:

• Produce qualified meetings for Sales

• Achieve key metrics for sales growth

• Assist with research on companies for lead generation

• Build and maintain alignment with Sales and Marketing

• Ensure use and data integrity of Salesforce (CRM)

Benefits:

• Generous PTO & Holiday Schedule

• Parental Leave

• Progressive Healthcare Options

• Retirement Programs

• Opportunity for Education Reimbursement

Education Requirements:

• Bachelor’s degree or equivalent work experience

Experience Requirements:

• Minimum of 5 years of related experience

• Background of working on Linux, Unix & Windows Enterprise Server OS

• Solid knowledge of protocols such as HTTP, SSL and IPv4/v6

• Working knowledge of Java, web containers (Tomcat, JBoss) and web servers

• Experience of virtualisation in an enterprise environment

Other Requirements:

• Working on a shifted schedule that includes weekends

• Experience with Cloud-based platform services (AWS, Azure, GCP)

• Empathy for the customer's situation

Responsibilities:

• Interacting with customers and resolving technical issues

• Acting as Queue Manager (QM) during weekend shifts

• Reproducing customer problems internally

• Collaborating with Support, Engineering, SREs, and Product teams

• Documenting bugs for product/service issues

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Generous family leave (maternity, paternity)

• Hybrid working

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Comfort with ambiguity

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Hybrid working

• MacBooks standard

Education Requirements:

• BSc in Computer Science, Maths or Statistics or related discipline

Experience Requirements:

• 5+ years of experience shipping high-quality products

• Previous experience in data analytics or statistical role (bonus)

Other Requirements:

• Deep knowledge of a high-level programming language

• Bias towards progress over perfection

• Strong willingness to fight for good outcomes

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with product teams to shape AI experiences

• Contribute to all phases of software development

• Hiring, mentoring, and career development

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Hybrid working

• Fun events for Intercomrades

Experience Requirements:

• 5+ years of experience shipping high-quality products

• 1+ year of experience building ML-powered products (bonus)

Other Requirements:

• Deep knowledge of high-level programming language (Python, Ruby etc.)

• Ability to deep dive into any part of the tech stack

• Bias towards progress over perfection

• Excited about progress in the AI space

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with ML engineers and scientists to build platforms

• Contribute to all phases of software development

• Hiring, mentoring, and career development

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Scientific thinking skills

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• MSc or PhD in an ML-related field, or similar knowledge

Experience Requirements:

• Experience leading, developing and supporting ML teams

• A 5+ year track record of IC contributions

• Track record shipping ML user-facing products

• Experience in a research environment

Other Requirements:

• Excellent applied ML and coding skills

• Ability to thrive in an ambiguous environment

• Strong communication skills

• Data skills (visualization, SQL etc.)

• Knowledge of software engineering practices

Responsibilities:

• Managing, mentoring and coaching a team of 10+ ML scientists

• Collaborating with ML, engineering, product, and design leaders

• Enabling team productivity, performance and reliability

• Expanding the team and promoting its brand

• Technical advice and occasional code reviews

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Experience Requirements:

• 5+ years of experience shipping high-quality products

• 1+ year of experience building ML-powered products (bonus)

Other Requirements:

• Deep knowledge of high-level programming language (Python, Ruby etc.)

• Ability to deep dive into any part of the tech stack

• Bias towards progress over perfection

• Excited about progress in the AI space

Responsibilities:

• Build the systems that power flagship AI products

• Bring proof-of-concept code to production

• Partner with ML engineers and scientists to build platforms

• Contribute to ideation, prototyping, and implementation

• Hiring, mentoring, and career development of other engineers