AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Forward Deployed Engineer (Full-Stack)
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Experience Requirements:
7+ years of professional experience in Full-Stack or Solutions Engineering
Strong proficiency in JavaScript/TypeScript, React
Backend development in Python
Evidence of shipping customer-facing features
Experience integrating with enterprise systems
Other Requirements:
Resident of the European Union with an EU passport
Mastery of REST APIs, data modeling, and SQL
Knowledge of CI/CD pipelines and testing strategies
Excellent communicator
German language skills (Nice to have)
Responsibilities:
Own technical outcomes from POC to production
Build intuitive React/TypeScript UIs and Python backend logic
Produce reference architectures and reusable UI components
Define success metrics and implement monitoring
Train customer teams on delivered features
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Senior Partner Marketing Manager
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Experience Requirements:
5+ years experience in B2B partner, alliances, or field marketing
Experience in enterprise AI, developer platforms, data, or infrastructure
Successful partner collaboration within public sector or complex enterprise
Strong experience materializing impact with SIs and ISVs
Experience in or adjacent to Sovereign AI (Nice to have)
Other Requirements:
Strong storytelling and messaging skills
Ability to plan and run joint GTM programs
Collaborative and structured approach
German language skills (Nice to have)
Responsibilities:
Own and execute partner marketing strategy across global SIs and ISVs
Lead partner launches, certifications, and strategic announcements
Design and run joint GTM partner programs
Create partner-ready assets (decks, solution briefs, case studies)
Curate, organize, and run partner specific events
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Technical Project Manager - Customer Delivery
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Education Requirements:
PMP, PRINCE2, Scrum, or Agile certification (Nice to have)
Experience Requirements:
4+ years of Technical Project/Program Management in Enterprise software
Proficiency in project management methodologies (Agile, Waterfall)
Proven experience in leading external delivery projects
Experience in creating, documenting, and iterating on processes
Experience working with public sector or regulated industries (Nice to have)
Other Requirements:
Familiar with APIs and Cloud environments
Excellent communication and stakeholder management
Problem-solver with risk-management abilities
Customer-first mindset
Responsibilities:
Serve as the main point of contact for customers during delivery
Own planning, execution, and reporting for customer implementations
Run regular project check-ins and track milestones
Manage risk, dependencies and blockers
Produce project plans, dashboards, and status updates
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Sales Engineer - Public Sector
Build production-ready AI agents and RAG applications with a modular open-source framework designed for context engineering and vendor-agnostic LLM orchestration.
Benefits:
Remote-first setup with flexible hours
30 days vacation
Competitive salary & stock options
Monthly sports allowance
Annual learning & development budget
Education Requirements:
Software engineering background
Experience Requirements:
Fluent German language skills
Significant experience in Sales Engineering, Consulting/Implementation
Practical Python skills
Experience with AI/ML workflows
Strong understanding of modern architectures
Other Requirements:
Ability to get hands-on with data, SQL, and light integrations
Strong project leadership
Commercial awareness
Focus on measurable outcomes
Responsibilities:
Lead early discovery to uncover goals and stakeholders
Translate customer needs into technical and business solutions
Build demos/POCs that prove value
Drive the plan to first value
Track usage, performance, and business outcomes
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Full-Stack Engineer
Achieve higher confidence in safety-critical applications by integrating data and automating processes with a governance-first AI platform for better decisions.
Benefits:
Leading equity-weighted total compensation
Competitive salaries and tax-advantaged options
Employer pension contributions
At least 30 days holiday annually
Twice-yearly in-person team retreats around the world
Experience Requirements:
Expert-level proficiency in TypeScript and React
Experience working with Effect and HTML Canvas
Familiarity using and customizing component libraries such as Material UI, Base UI or Ariakit
Working with type-safe styling systems like Panda
Experience with Rust is nice-to-have but not required
Other Requirements:
Interest in not only moving fast, but also in building performant solutions
Comfortable optimizing data structures and storage systems
Interested in pushing front-end web frameworks to their limits
Responsibilities:
Implement the majority of HASH's user-facing features
Write code on the frontend and backend
Ensure HASH responds to user needs and ships new functionality fast
Design modular components supporting use in third-party applications
Collaborate with UX/UI designers and company leadership
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Hardware Intern
Prepare for high-stakes job interviews with AI-powered mock sessions, real-time feedback, and role-specific practice rounds designed for students and professionals.
Responsibilities:
Engineering support
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Customer Support Engineer (Product / Technical Support)
Automate AEC project workflows with industry-specific AI for meeting minutes, field reports, and RFP reviews tailored for architects, engineers, and builders.
Benefits:
Fully remote
Three off-sites per year
Competitive pay and stock options
38 paid days off annually
Personal-development stipend
Experience Requirements:
6+ years experience
Experience debugging production issues using logs and metrics
Other Requirements:
Proficiency in SQL (PostgreSQL)
Familiarity with Python and React/JavaScript
Strong written communication
Bias for action and ownership
Responsibilities:
Field incoming support requests
Identify, reproduce, and help resolve bugs
Maintain observability and support tooling
Triage issues across backend, frontend, and mobile
Contribute documentation and code snippets
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Ex Technical Founder (Product Engineer)
Automate AEC project workflows with industry-specific AI for meeting minutes, field reports, and RFP reviews tailored for architects, engineers, and builders.
Benefits:
Fully remote
Three offsites per year
38 paid days off
Competitive salary + generous equity
Personal development stipend
Experience Requirements:
3+ years building production software
Founded or co-founded a tech company
Other Requirements:
Proficiency in Python, React, and React Native
Power user of AI tools (Claude Code, Cursor, Codex)
Comfortable in cloud ops, CI pipelines, and mobile
Can explain technical trade-offs to non-engineers
Responsibilities:
Talk to customers and understand requirements
Decide what to build and ship product
Measure feature success
Design and own features end-to-end
Write production-grade backend and frontend code
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Spontaneous Application
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Other Requirements:
Mention desired position in the cover letter
Upload CV and cover letter
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Experienced Backend Developer
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Learning from audio and ML experts
High impact on generative audio
Inclusive startup culture
Experience Requirements:
6+ years in a high-velocity startup or product-centric environment
Expert in Python and FastAPI
Proficient with PostgreSQL
Hands-on AWS experience
Expertise in Docker, Kubernetes, and CI/CD
Other Requirements:
Deep understanding of the testing pyramid
Testing mindset (pytest, unittest)
Experience with microservices and system observability
Start date: Jan 1, 2026
Responsibilities:
Design & Implement RESTful and event-driven microservices
Optimize and maintain PostgreSQL schemas
Deploy and scale services on AWS (EKS, RDS, S3)
Build and orchestrate Docker containers
Implement CI/CD pipelines via GitHub Actions
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Digital Audio Signal Processing Engineer
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Professional growth in Voice AI
Collaborative startup culture
High impact
Experience Requirements:
Deep expertise in digital audio signal processing and acoustics
Strong mathematical foundation
Experience turning research/prototypes into high-performance production code
Proficiency in Python and low-level code (Rust, C, or C++)
Other Requirements:
Startup mindset
Understanding of modern machine learning development workflows
Ability to work on-site in Berlin
Responsibilities:
Own design and evolution of core audio simulation and data generation systems
Model realistic audio signal chains
Translate customer audio into simulation assumptions
Develop efficient DSP implementations for real-time and streaming
Build and maintain tooling and abstractions for simulations
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Developer Relations (Voice AI)
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Startup culture
High impact
Professional growth opportunities
Experience Requirements:
Technical DevRel / Developer Advocate / DevEx experience at a developer-first company
Hands-on Voice AI builder experience (Pipecat, LiveKit)
Ability to ship production-quality code (Python, TypeScript/Node)
Early-stage startup experience required
Other Requirements:
Benchmarking mindset
Excellent communication (technical writing, demos)
On-site in Berlin
Responsibilities:
Own developer activation and reduce drop-off
Ship technical content (tutorials, deep-dives, examples)
Build and maintain integrations with Pipecat and LiveKit
Create benchmark templates and evaluation harnesses
Run developer community engagement
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Audio ML Data Engineer
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Dynamic, fast-paced environment
High impact
Ownership & autonomy
Experience Requirements:
Deep experience working with speech and audio data in ML contexts
Strong understanding of voice AI pipelines (speech enhancement, VAD, STT, etc.)
Proven experience building, curating, and maintaining datasets
Experience designing evaluation protocols and test scenarios
Proficient in Python and modern software development workflows
Other Requirements:
Hands-on and startup mindset
Understanding of audio signal processing (room acoustics, reverberation, noise)
Ability to work on-site in Berlin
Responsibilities:
Own the lifecycle of speech and audio ML datasets
Design and generate synthetic and semi-synthetic datasets
Design and maintain evaluation protocols and test scenarios
Build tooling for evaluation and diagnostics
Translate model failures into improvements in data or tooling
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Audio Data Infrastructure Engineer
Deliver crystal-clear, studio-quality speech in real-time for voice agents and communications with low-latency AI enhancement that reduces detection errors by 40%.
Benefits:
Competitive salary package
Stock options
Opportunity to work at a rapidly growing Voice AI startup
Dynamic, fast-paced culture
High impact and ownership
Experience Requirements:
3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems
Deep experience with PostgreSQL at scale (schema design, partitioning, indexing)
Experience building and operating reliable ETL pipelines (Airflow, Prefect, etc.)
Strong Python engineering skills (async, multiprocessing)
Experience processing very large datasets (TB-scale)
Other Requirements:
Practical familiarity with audio data as a modality
Experience running ML inference pipelines at scale
Startup mindset
Ability to work on-site in Berlin
Responsibilities:
Architect and maintain a large-scale PostgreSQL database
Design scalable ingestion pipelines for audio data
Build distributed compute pipelines for ML inference
Design and maintain efficient metadata storage
Optimize ETL/ELT pipelines for performance and reliability
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Engineering Department (all applications) - m/w/d
Deploy a secure, model-agnostic AI stack across your organization to automate workflows and build custom agents while maintaining strict GDPR compliance.
Benefits:
Offers Equity
Lunch and dinner together
Health and gym activities
Office-based collaboration
Work on production-grade AI platform
Experience Requirements:
History of building something technically exceptional
Full-stack proficiency (TypeScript, React, Node, SQL, Redis)
Experience with AI models, prompts, and workflows
Understanding of distributed systems and architecture
Other Requirements:
Care for code craft and thoughtful abstractions
Must work from Berlin office (8:30 start)
Kind person who cares about the team
Ability to ship fast and build foundations
Responsibilities:
Ship features across the AI engine orchestration layer
Build resumable streaming infrastructure and retry logic
Extend workflow automation and agent systems
Maintain multi-cloud infrastructure (Azure, AWS, GCP)
Invent new interaction paradigms for AI-native software
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Business Department (all applications) - m/f/d
Deploy a secure, model-agnostic AI stack across your organization to automate workflows and build custom agents while maintaining strict GDPR compliance.
Benefits:
Offers Equity
Lunch and dinner together
Health and gym activities
Office-based collaboration
Professional growth in AI
Experience Requirements:
Experience doing something hard with clear outcomes
Technical understanding of SaaS (databases, APIs, architecture)
Active experimentation with AI models and workflows
Experience in sales, operations, or marketing functions
Other Requirements:
Must be based in or willing to work from Berlin office
Kind person with low ego
Ambitious and results-oriented
High degree of curiosity about business and AI
Responsibilities:
Own outcomes and efficiency instead of activities
Work directly with customers to ensure adoption
Design and refine AI-powered workflows
Identify and solve business problems quickly
Contribute feedback to shape the Langdock product
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Head of Operations
Transform lengthy SOPs into autonomous, self-learning AI agents to automate complex enterprise workflows and scale operations without increasing headcount.
Benefits:
AI-native thinking culture
Customer obsession
Speed as a habit
Leverage-focused execution
Highly aligned, loosely coupled team structure
Experience Requirements:
5+ years of experience in operations, delivery, or program management
Experience leading cross-functional teams or projects involving enterprise customers
Background in consulting, customer success, or internal strategy roles
Other Requirements:
Background in AI/ML implementations or SaaS automation platforms
Experience scaling a delivery or implementation team
Familiarity with Salesforce, ServiceNow, SAP, or similar enterprise ecosystems
German language skills
Based in or open to relocating to Berlin or Munich
Responsibilities:
Lead strategic client engagements from post-sale to successful outcomes
Build and scale operational frameworks that support Beamβs growth
Partner with Sales and Solutions to align on customer goals
Manage and mentor a growing operations and delivery team
Introduce systems for accountability, tracking, and decision-making
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CEO Office Intern
Automate high-volume phone calls with human-like AI agents to qualify leads and book meetings 24/7 while integrating seamlessly with your existing CRM stack.
Benefits:
Subsidized Urban Sports Club membership
Startup vibe
Modern office in Berlin
Dynamic international team
Education Requirements:
Bachelorβs degree in progress or completed (business, marketing, or related field)
Other Requirements:
Entrepreneurial mindset with a passion for startups, AI, and growth
Sharp communication skills (written & verbal)
Highly organized multitasker
Proactive, hands-on, and solution-oriented
Responsibilities:
Work closely with the founding team to drive key go-to-market initiatives
Support marketing, partnerships, content, hiring and product launch campaigns
Take ownership of ad-hoc strategic projects solving problems end-to-end
Operate as a versatile generalist helping with copywriting to market research
Identify opportunities to optimize growth and GTM processes
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Lead VOIP Engineer (FreeSWITCH & Kamailio)
Automate high-volume phone calls with human-like AI agents to qualify leads and book meetings 24/7 while integrating seamlessly with your existing CRM stack.
Experience Requirements:
5+ years of experience in VOIP engineering, particularly with FreeSWITCH and Kamailio
3 years of experience with k8s on production systems is a must have
Experience working in high-load production FreeSWITCH environments
Other Requirements:
Strong expertise in SIP protocol, RTP streaming, and VoIP call flows
Hands-on experience with Homer SIP capture or similar SIP monitoring tools
Deep understanding of NAT traversal, STUN/TURN, WebRTC, and ICE frameworks
Proficiency in Linux administration, networking, and troubleshooting
Responsibilities:
Design, deploy, and maintain FreeSWITCH and Kamailio-based VoIP solutions
Configure and troubleshoot SIP protocols, RTP streams, and media gateways
Monitor and optimize high-load production FreeSWITCH and VOIP systems
Implement and manage SIP monitoring tools like Homer
Develop and fine-tune call routing, failover mechanisms, and load balancing strategies
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Senior DevOps Engineer
Automate high-volume phone calls with human-like AI agents to qualify leads and book meetings 24/7 while integrating seamlessly with your existing CRM stack.
Education Requirements:
Bachelorβs degree in Computer Science, Engineering, or a related technical field
Experience Requirements:
Minimum of 5 years of experience in DevOps, Site Reliability Engineering, or related roles
Other Requirements:
Proficient with major cloud platforms: Google Cloud Platform (GCP) as the primary provider
Strong expertise in containerization and orchestration technologies, including Docker and Kubernetes
Infrastructure as Code (IaC) experience using Terraform
Skilled in Kubernetes deployment and packaging tools, such as Helm, and GitOps-based solutions like ArgoCD
Good programming and scripting skills in languages such as Python and Go
Responsibilities:
Develop and manage a scalable and secure infrastructure for deploying TTS, STT, LLM and Web applications
Create and maintain CI/CD pipelines for continuous integration and deployment of various services
Monitor and analyze system performance and resolve any issues to ensure reliability and efficiency
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