AI Jobs

Education Requirements:

• BSc in Computer Science

• Mathematics

• Master’s degree specializing in CV/ML preferred

Experience Requirements:

• Experience as a manager in Computer Vision

• Experience with visual recognition tasks

• Experience with deep learning frameworks (PyTorch, Tensorflow)

• Understanding of convolutional and recurrent neural networks

• Familiarity with Python or C/C++

Other Requirements:

• Strong interpersonal skills

• Self-motivated and detail oriented

• English communication skills

Responsibilities:

• Define Product Vision and future roadmap

• Lead product developments as product owner

• Research cutting-edge computer vision techniques

• Partner with QA and Delivery teams

• Lead, train, and coach a team of individuals

Education Requirements:

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

Experience Requirements:

• 4+ years of professional software engineering or data engineering experience

• Expert proficiency in Python

• Deep, hands-on experience with the modern data stack

Other Requirements:

• Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

• Familiarity with Data Governance, Data Quality, and Data Observability principles

• Strong communication skills

Responsibilities:

• Lead the technical implementation, integration, and optimization of Altimate AI's platform

• Serve as the primary technical point of contact for key accounts

• Develop custom scripts, integrations, and tools using Python

• Troubleshoot, diagnose, and resolve complex technical issues

• Contribute to the core product by identifying common integration patterns

Education Requirements:

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

Experience Requirements:

• 4+ years of professional software engineering or data engineering experience

• Expert proficiency in Python

• Deep, hands-on experience with the modern data stack

Other Requirements:

• Experience in a Forward Deployed, Solutions Architect, or Customer-Focused Engineering role for a B2B SaaS product

• Familiarity with Data Governance, Data Quality, and Data Observability principles

• Strong communication skills

Responsibilities:

• Lead the technical implementation, integration, and optimization of Altimate AI's platform

• Serve as the primary technical point of contact for key accounts

• Develop custom scripts, integrations, and tools using Python

• Troubleshoot, diagnose, and resolve complex technical issues

• Contribute to the core product by identifying common integration patterns

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite (US)

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Expertise in semantic search and embedding models

• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

• Advanced model fine-tuning techniques

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

• Develop and optimize cloud-native architectures (AWS, Kubernetes)

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary, equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in developing and implementing machine learning algorithms

• Advanced proficiency in Python (Scikit-learn, TensorFlow, PyTorch)

• Experience with advanced text mining methods

• Experience with Natural Language Processing (NLP)

• Experience with Large Language Models (LLMs) like GPT-3

Other Requirements:

• Practical experience with cloud services (AWS, Azure, GCP)

• Expertise in deep learning for NLP with Transformers

• Proficiency in ML experimentation and A/B testing

Responsibilities:

• Spearhead the creation and finetuning of sophisticated machine learning models

• Contribute to the seamless integration of Large Language Models

• Employ machine learning techniques to analyze vast datasets

• Implement algorithms to effectively cluster vast quantities of code

Benefits:

• Competitive salary and equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 3+ years of experience building Python-based web application backends

• 5+ years of experience designing and developing scalable back-end systems

• Strong proficiency in JavaScript/TypeScript and React

• Hands-on expertise in front-end tooling and libraries

Other Requirements:

• Working knowledge of static code analysis of SQL

• Experience developing and extending VSCode extensions

• Familiarity with AI and machine learning concepts

• Experience with cloud platforms and containerization

Responsibilities:

• Lead backend infrastructure development for LLM architectures

• Build and enhance intuitive interfaces in React

• Develop and maintain VSCode extension

• Design and develop large-scale graph-based data structures

Benefits:

• Competitive salary and equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in Software engineering

• Strong proficiency in Python and SQL

• Extensive experience with SQL query profiling and optimization

• Deep understanding of SQL Abstract Syntax Tree (AST)

• Experience in building data pipelines using Airflow or dbt

Other Requirements:

• Solid understanding of cloud platforms, particularly AWS

• Familiarity with Kubernetes (K8s)

Responsibilities:

• Building highly performant PB scale data pipelines

• Design and implement robust, scalable data infrastructure on AWS

• Design and develop a comprehensive SQL intelligence system

Benefits:

• Work at the frontier of AI + Lakehouse

• Early member of the GTM team

• Influence architecture standards

• Deep ownership and impact

Experience Requirements:

• 6+ years in a customer-facing technical role (Solution Architect, Data Engineer, etc.)

• Strong Databricks expertise (Apache Spark, Delta Lake)

• Modern data stack experience (SQL, ETL/ELT)

Other Requirements:

• Experience with dbt is a strong plus

• Customer-First Communicator

• Builder Mindset

Responsibilities:

• Deliver compelling technical demos and architecture discussions

• Design and execute POCs on Databricks

• Guide customers in building scalable pipelines using lakehouse best practices

• Partner with customers to ensure smooth implementation and adoption

• Support customers in optimizing their data platform

Benefits:

• Remote-first working across the UK

• Work abroad policy

• 34 days holiday and your birthday off

• Flexible benefits platform

• Private health- and dental care

Education Requirements:

• Degree in Computer Science, Engineering, Data Science or similar

Experience Requirements:

• Industry experience in DevOps or MLOps roles

• Hands-on with Docker, Kubernetes, and Terraform

• Strong scripting skills in Python or Bash

• 2 years +

Other Requirements:

• Familiar with ML lifecycle tools, model monitoring, and versioning

• Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a plus

Responsibilities:

• Automating Machine Learning workflows with AWS & GitOps

• Deploying LLMs using Kubernetes & Docker

• Building infrastructure with Terraform & Helm

• Monitoring and maintaining ML models with performance alerts

• Supporting CI/CD for ML pipelines

Benefits:

• Remote-first working across the UK

• Work abroad policy

• 34 days holiday and your birthday off

• Flexible benefits platform

• Private health- and dental care

Experience Requirements:

• 6 years +

• Experience building production systems using Node.js / TypeScript

• Hands-on experience developing UIs with React

• Solid understanding of cloud-native engineering on AWS

Other Requirements:

• Experience with microservices, messaging patterns and distributed systems

• A commitment to clean code, testing, and observability

• Proactive and motivated mindset

Responsibilities:

• Designing and implementing robust event-driven microservices and APIs

• Building scalable, cloud-native systems on AWS

• Developing modern, responsive React front-ends

• Integrating LLM-powered capabilities into real-world workflows

• Collaborating with product and AI specialists

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in IT, Engineering, Data Science or related areas

Experience Requirements:

• 5+ years of experience in Data Engineering

• Advanced mastery of SQL and dbt (modular modeling and tests)

• Experience with AWS ecosystem (S3, Glue, Athena, Redshift)

Other Requirements:

• Experience with distributed processing (Spark/Hadoop)

• Proficiency in Python, Java, or Golang

• Knowledge of Scala, SPARQL, GraphQL, and Delta Lake

• Advanced English

Responsibilities:

• Project, build, and maintain scalable and reliable data pipelines

• Automate ETL/ELT processes ensuring efficiency and quality

• Ensure data availability, integrity, and consistency

• Develop reusable components to support solution scalability

• Collaborate with Engineering, Product, and Solutions teams

Experience Requirements:

• 3+ years of experience in DevOps

Other Requirements:

• Deep understanding of containerization technologies like Docker and Kubernetes

• Proficiency in infrastructure automation with tools like Terraform

• Experience with cloud platforms

• Strong scripting skills in Python and Bash

• Familiarity with ML/AI deployment practices

Responsibilities:

• Architecting and maintaining scalable, containerized environments for AI model deployment

• Implementing and managing CI/CD pipelines

• Automating infrastructure provisioning and configuration with IaC tools

• Optimizing system performance and crafting monitoring solutions

• Ensuring high availability, fault tolerance, and disaster recovery

Education Requirements:

• Postgraduate research in Machine Learning or related fields

Experience Requirements:

• 3+ years of work experience

Other Requirements:

• Comprehensive knowledge of modern deep learning architectures

• Deep understanding of hardware, instruction sets and distributed systems architectures

• Experience with ONNX, TorchScript, quantization, and sparsification

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

Responsibilities:

• Optimize model deployment, scaling, and runtime performance

• Implement MLOps best practices including experiment tracking

• Work with distributed training tools and CUDA-level optimization

• Apply techniques such as micro-batching, caching, and KV-caching

Experience Requirements:

• Proven experience as a Front-end Developer

Other Requirements:

• Strong understanding of HTML, CSS, JavaScript, and modern frameworks

• Experience with responsive and adaptive design

• Familiarity with SEO best practices

• Knowledge of performance optimization techniques

• Experience with version control systems and CI/CD pipelines

Responsibilities:

• Develop and maintain user-facing features

• Collaborate with designers to translate mockups into interactive experiences

• Ensure the technical feasibility of UI/UX designs

• Optimize applications for maximum speed and scalability

• Implement best practices in SEO and accessibility

Benefits:

• AI Deployment experience

• Flexible work hours

• Global project opportunities

• Series A backed company

• Support for work tools

Experience Requirements:

• Experience irrelevant

• Solve problems with Python/Node/Go

• Docker/Kubernetes understanding

Other Requirements:

• 3 months commitment

• 3+ days office work per week

• Interest in AI domain

Responsibilities:

• Define customer technical problems

• Design solutions using STORM

• On-site technical support

• Product feedback and improvement

Benefits:

• Flexible time and location

• Work tools support

• Global project participation

• High-trust culture

• Series A stability

Experience Requirements:

• 1 to 3 years experience

• Server-side language (Python/Node/Go)

• Metric/Log/Tracing tool usage

Other Requirements:

• Understand Docker/Kubernetes

• Rapid learning of AI domains

• Problem-solving mindset

Responsibilities:

• Define technical tasks for customers

• Implement realistic AI solutions

• Deep technical on-site support

• Collaborate with product teams

Benefits:

• Flexible work environment

• Tech tools support

• Series A funded

• Work with ex-Naver/Line/Toss members

• Growth-oriented culture

Experience Requirements:

• 3 years or more experience

• Professional Kubernetes experience

• Container-based orchestration

• Cloud Managed Kubernetes operation

Other Requirements:

• Interest in AI domain

• Experience with Istio/Helm is a plus

• Vector database operation experience

Responsibilities:

• Build infrastructure for STORM platform

• Research ML pipeline methodologies

• Configure cost-efficient infra

• Implement core resources and infra

Benefits:

• Flexible work hours

• Equipment support

• Series A stability

• Career development with experts

• High autonomy

Experience Requirements:

• 3 years or more experience

• FastAPI middleware application

• NLP domain understanding

Other Requirements:

• Python/Go/Rust knowledge

• MLOps lifecycle experience a plus

• Kubernetes/Docker familiarity

Responsibilities:

• Develop Python-based ML services

• Create FastAPI backend and MLOps

• RAG technology advancement

• Collaborate with Research teams

Benefits:

• Meal vouchers

• health & wellness solutions

• mobility support

• travel policy

• remote stipend

Education Requirements:

• Programming experience (python, react, docker, …)

• Some understanding of APIs or backend concepts

Experience Requirements:

• Comfort working with Git

• Strong interest in AI systems

• Exposure to Docker, Kubernetes, or cloud platforms

• Exposure to Domain Driven Design

Other Requirements:

• Early in their career

• Strong sense of project ownership

• Personal accountability

Responsibilities:

• Develop and maintain Models API

• Support rollout of new or updated models

• Deploy and operate components on Kubernetes

• Write, test, and maintain production code

• Create / improve customer portal and services

Benefits:

• Meal vouchers

• health & wellness solutions

• mobility

• travel policy

• remote stipend

Education Requirements:

• B.Sc., M.Sc./Ph.D. in Computer Science, Machine Learning, or related fields

Experience Requirements:

• Expertise in PyTorch and Python

• Experience taking ML models from research to production

• Performance benchmarking and profiling

• Comfort with cloud platforms and containerization

Other Requirements:

• Strong sense of ownership and accountability

• Clear communication skills

• Ability to thrive in ambiguous environments

Responsibilities:

• Analyse newly released open source models

• Apply internal and external efficiency methods

• Package optimized models for deployment

• Collaborate with Software and Research teams

• Customer & partner engagement