AI Jobs

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop and phone

• annual bonus plan

Experience Requirements:

• +5 years of relevant experience

• Proven ability to lead complex client implementations

• Experience with Conversational AI platforms at scale

• Proficiency in JavaScript / HTML / CSS

• Experience designing or consuming APIs

Other Requirements:

• Fluent in English and at least one additional European language

• Solid understanding of IT, data flows, and integrations

• A mindset of continuous improvement and curiosity

• Demonstrated ownership

Responsibilities:

• Lead end-to-end technical architecture design and integration

• Be the expert across AI platforms like Chatlayer or Dialogflow

• Deliver advanced training sessions and technical workshops

• Translate business requirements into scalable bot architectures

• Coach and mentor junior and medior team members

Experience Requirements:

• 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops

• Experience building and operating realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues)

Other Requirements:

• TypeScript/Node.js

• Python

• AWS

• Terraform

• Kubernetes

• OpenTelemetry

• SigNoz

Responsibilities:

• Technical direction across the stack - backend, frontend, and infra

• Team leadership: unblock engineers, set clear priorities, run lightweight design reviews

• System reliability: ensure platform stays fast, observable, and stable

• Hands-on delivery: contribute to key projects weekly

• Cross-functional glue: keep product and operations connected

Experience Requirements:

• Senior/staff experience running distributed backends with real-time/streaming constraints

• Shipped production LLM apps

• Understanding of prompt/tool design, evals, and guardrail instrumentation

Other Requirements:

• TypeScript/Node.js

• Python

• Temporal

• Redis

• PostgreSQL

• AWS

• Terraform

• Kubernetes

Responsibilities:

• Own core services in TypeScript/Node.js and Python

• Scale platform for 10K parallel calls with 99.99% uptime

• Harden pipelines for ingestion, evaluation, and analytics

• Level-up observability using OpenTelemetry/SigNoz

• Prototype, test, and ship new LLM-driven behaviors

Experience Requirements:

• 3+ years building customer-facing products in a high-velocity environment

Other Requirements:

• Fluent in TypeScript

• React/Next.js

• Node services

Responsibilities:

• Own product features end-to-end: spec, prototype, ship, iterate

• Work closely with customers to drive adoption and outcomes

• Build core customer workflows for voice-agent QA

• Turn messy, high-dimensional data into product experiences

• Maintain high engineering velocity while keeping craftsmanship

Experience Requirements:

• 3+ years of quota-carrying closing experience in B2B SaaS (mid-market and/or enterprise)

• Demonstrated ability to run complex sales cycles with technical stakeholders

Other Requirements:

• Knowledge of developer tools, infra, observability, testing, or AI platforms

• Familiarity with voice AI stacks (telephony/WebRTC, STT/TTS, LLM tool calling)

Responsibilities:

• Own revenue outcomes end-to-end: prospecting and closing deals

• Run full-cycle sales: pipeline creation, discovery, demos, and negotiation

• Lead multi-threaded sales cycles across engineering, product, and AI teams

• Translate technical product value into quantified business outcomes

• Drive structured evaluations and pilots

Experience Requirements:

• 1+ years in SDR/BDR, sales, recruiting, or another performance-based role

Other Requirements:

• Strong written communication

• High agency

• Operational discipline

Responsibilities:

• Own outbound pipeline generation across email, LinkedIn, calls, and events

• Research and prioritize target accounts in industries adopting voice agents

• Identify key stakeholders and map organizations

• Personalize outreach using technical and business context

• Qualify inbound leads quickly and route or convert them into meetings

Benefits:

• Medical

• Dental

• Vision

• Life Insurance

• Disability Insurance

Education Requirements:

• AA/BS in Automotive Technology or Business Management preferred

Experience Requirements:

• Minimum 10 years varied automotive service experience

• Experience managing a team of technicians

• Verifiable track record in Customer Service

• Valid driver’s license with no suspensions

Other Requirements:

• Ability to travel on an as-needed basis

• Willingness to complete CPR training

• Advanced ability to use Microsoft Office

Responsibilities:

• Manage and develop Service Team members

• Performance Management of employees

• Select, train, and develop staff

• Address client concerns professionally

• Delegate and direct service tasks

Benefits:

• Competitive salary packaging based on your experience and qualifications

• Lunch and an informal work environment with positive energy

• A choice of equipment and a workspace centrally located in Aarhus

• A flexible balance between working at the office and from home

• A meaningful job with a high purpose

Education Requirements:

• Bachelors or masters degree preferably within a technical field (e.g. Data science, Cognitive science or similar)

Experience Requirements:

• 2+ years professional experience in a data engineering role

• Experience working with data and the data value chain (modelling, analyses, ETL)

• Experience with Python and SQL

Other Requirements:

• Self-driven and enjoy engaging in both academic and professional discussions

• Excellent communication skills and fluency in English

• Team player with a positive attitude

• A knack for communicating technical topics clearly

Responsibilities:

• Implement and onboard new customers by aligning data structures

• Leading customers through the Tech sales funnel (demos, pilots, workshops)

• Delivering on consultancy requests like UI optimisations or data cleanups

• Optimising data pipelines and the data integration process

• Developing and improving software solutions and UX designs

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 3-5+ years of professional software engineering experience

• Strong proficiency in React + TypeScript

Other Requirements:

• Experience building modern, component-based web applications

• Curiosity about browser extensions and/or Office Add-ins

• Experience with AI coding tools (e.g., Cursor, Claude Code)

• Excellent communication skills

Responsibilities:

• Build and enhance React-based front-end stack

• Implement reusable React components

• Create abstraction layers to maximize code reuse

• Iteratively improve UX based on customer feedback

• Implement automated UI testing

Benefits:

• Competitive salary

• Meaningful equity package

Experience Requirements:

• 5+ years backend engineering (Python & TypeScript-first)

• Production experience in serverless

• Hands-on with generative AI (Claude/OpenAI or equivalent) in production

Other Requirements:

• Deep knowledge of AWS serverless (Lambda, DynamoDB, API Gateway)

• Strong AWS CDK or CloudFormation skills

• Proficiency with AI coding tools

• Ability to design multi-tenant, scalable systems

Responsibilities:

• Architect serverless microservices powering core APIs

• Develop advanced LLM features and context orchestration

• Design and optimize RAG pipelines using AWS Bedrock

• Define AWS CDK (TypeScript) IaC for all backend resources

• Maintain SOC 2 Type II and Google CASA compliance posture

Other Requirements:

• Passion for building on the bleeding edge of technology

• Passion for helping businesses scale in different industries

Responsibilities:

• Pushing your business forward into the age of AI

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 6+ years in Applied ML/DS/AI

• 2+ years leading multi-workstream ML programs or teams

Other Requirements:

• Working knowledge of modern ML/LLM tooling (Python, PyTorch/TensorFlow)

• Healthcare curiosity and comfort with privacy/safety compliance

• Strong program management fundamentals

Responsibilities:

• Own the multi-track plan for ML projects from scoping to delivery

• Run the operating rhythm: backlog, sprint planning, and stand-ups

• Align Product, Engineering, Clinical, and Customer teams around priorities

• Review designs, sanity-check experiments, and partner on MLOps best practices

• Mentor ML engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 3–6 years of experience in applied ML

• 1–2 years working with LLMs

Other Requirements:

• Strong Python skills

• Familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain)

• Comfort with embeddings and vector search

• Experience in healthcare or regulated environments

Responsibilities:

• Own and optimize pipelines combining classical ML and LLM systems

• Fine-tune and evaluate LLMs using open-source and proprietary data

• Collaborate with teams to build healthcare applications

• Implement retrieval strategies and prompt chaining

• Monitor model quality, latency, and safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• PhD or Master’s in ML, CV, NLP, or related field

Experience Requirements:

• 5+ years of experience working on vision or VLMs

• Proven experience applying ML to healthcare documents or medical imaging

Other Requirements:

• Hands-on with PyTorch, HuggingFace, OpenCLIP

• Deep understanding of HIPAA and PHI protection

• Comfortable with RAG pipelines

Responsibilities:

• Research and build state-of-the-art VLM pipelines for medical documents

• Fine-tune or adapt models like BLIP-2, LLaVA, GLaMM

• Develop multimodal grounding strategies for RAG and Agent workflows

• Evaluate models for factuality, safety, and explainability

• Collaborate with product engineers to deploy models at scale

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or Data Science

Experience Requirements:

• 5-7 years of experience in machine learning engineering

• Track record in production grade models in a regulated industry

Other Requirements:

• Expertise in GPT, BERT, and computer vision models

• Proficient in Python, TensorFlow, PyTorch

• Working knowledge of MLOps and LLMOps (mlflow, kubeflow)

Responsibilities:

• Fine-tune or prompt engineer LLMs for healthcare applications

• Develop vision-based models for medical document analysis

• Create classic NLP models for clinical documentation

• Ensure efficient model deployment and scalability

• Mentor junior engineers and data scientists

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor’s degree in a healthcare-related field

Experience Requirements:

• 5+ Years of experience in healthcare data/research

Other Requirements:

• Knowledge of clinical coding systems (ICD-10, CPT, SNOMED CT)

• Familiarity with EMR systems

• Certification in medical coding (CPC, CCS) preferred

Responsibilities:

• Provide clinical guidance for AI co-pilots

• Develop annotation guidelines for healthcare data

• Review and annotate clinical documents like EMRs and medical charts

• Tag data using standard clinical terminologies

• Perform quality control and inter-annotator agreement checks

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• MD, DO, or equivalent

Experience Requirements:

• 10+ years of clinical practice

Other Requirements:

• Background in utilization management and health system workflows

• Experience launching digital health or AI solutions

• Familiarity with regulatory standards (CMS, FDA)

Responsibilities:

• Define and champion the clinical vision across the platform

• Lead clinical validation and QA protocols

• Hire, mentor, and lead a clinical organization

• Serve as trusted clinical executive for enterprise customers

• Build a Clinical Governance Framework for AI safety

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years in SRE/CloudOps roles

Other Requirements:

• Expertise in AWS, Azure, and GCP

• Hands-on experience with Terraform, Kubernetes, and Docker

• Scripting skills in Python, Bash, or Go

Responsibilities:

• Design and manage multi-cloud infrastructure

• Build deployment workflows using Terraform and CI/CD tools

• Define and uphold SLAs/SLOs and incident management

• Implement security controls for HIPAA and SOC2

• Configure AI platform and solutions at customer deployments

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5+ years of hands-on experience in information security

Other Requirements:

• Focus on healthcare systems (EHRs, claims)

• Familiarity with HIPAA, HITECH, and SOC 2

• Cloud security background (Azure, GCP, AWS)

Responsibilities:

• Single point of contact for security and compliance

• Design security protocols for healthcare workflows

• Lead security assessments and penetration tests

• Embed security into the SDLC

• Conduct periodic vulnerability checks and internal training

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Experience Requirements:

• 5–8+ years in enterprise client success or account management

Other Requirements:

• Experience in healthcare and/or AI

• Proficiency in HubSpot, Monday.com, Slack

• Exceptional communication and storytelling skills

Responsibilities:

• Own end-to-end success of key enterprise customers

• Build and execute Account Plans and use case mapping

• Demonstrate measurable ROI through metrics and insights

• Lead strategic discussions and Quarterly Business Reviews (QBRs)

• Collaborate internally to unblock issues and drive product feedback