AI Jobs

Education Requirements:

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

Experience Requirements:

• 1+ years of experience with JavaScript.

• 1+ years of experience with Java and object-oriented programming.

Responsibilities:

• Diagnose and resolve technical issues by crafting creative, tailored solutions for our customers.

• Research and experiment with tools and technologies essential to modern software development, such as CI/CD systems, version control platforms, testing frameworks, and bug tracking tools, to expand integration with our product.

• Continuously learn and apply new frameworks, coding languages, and best practices.

• Contribute to both internal and external documentation, including writing clear, concise guides and creating code samples to support our users.

Education Requirements:

• B.Sc. or M.Sc. in Computer Science or a related engineering field from a recognized institution.

Experience Requirements:

• 5+ years of experience delivering impactful and complex software projects.

• Advanced expertise in JavaScript.

Responsibilities:

• Lead architectural decisions and define the technical vision for our SDKs.

• Own the end-to-end product lifecycle of complex JavaScript libraries that interface with test frameworks, user applications, and server APIs.

• Design APIs and protocols with a focus on asynchronous flows and performance optimization.

• Research and integrate with popular test automation frameworks (e.g., Playwright, Cypress, Puppeteer, WebDriver.io, Selenium, TestCafe, Mocha, Jest).

• Innovate with browser and DOM hacking using Chrome DevTools Protocol (CDP) and WebDriver.

Benefits:

• Competitive salary and equity package

• Comprehensive benefits including health, vision, and dental coverage

• High-ownership, high-velocity environment with rapid learning opportunities

• Chance to work on a profound technical problem that, if solved, will accelerate the future of technology development and civilization

Education Requirements:

• A Bachelor's degree in Computer Science, Software Engineering, or related field; advanced degree preferred

Experience Requirements:

• You are an exceptional researcher who has designed large-scale ML systems

• Experience building LLM applications and agentic LLM systems

• Familiarity with cloud computing platforms and distributed systems

• Have strong intuition about computer architecture to quickly understand chip design and verification tasks

• Strong communication abilities and experience working in cross-functional teams

Other Requirements:

• Strong proficiency in Python and AI/ML frameworks like PyTorch

Responsibilities:

• Design and implement core components of our AI-powered engineering systems

• Integrate classical algorithms and deep learning-based approaches across modalities

• Utilize our GPU clusters for efficient training, finetuning, and inference of AI models, ensuring optimal performance and scalability.

• Explore and implement efficient inference techniques to reduce computational costs and improve the speed of model predictions without compromising quality.

• Stay ahead of the curve in AI research, particularly in the areas of LLMs, to continually improve our technologies and methodologies.

Benefits:

• A collaborative and innovative work environment with career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working – remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Responsibilities:

• Customer Support – Act as the first point of contact for our customers, responding to support requests with empathy and efficiency.

• Issue Logging & Prioritisation – Categorise and escalate issues as needed, ensuring high-priority queries are actioned swiftly.

• Technical Investigation – Help diagnose and troubleshoot technical problems with guidance from senior team members.

• Product Knowledge – Build a strong understanding of Aveni’s products to support users effectively.

• Collaboration – Work with engineering, product, and customer teams to improve our service and customer experience. Feedback & Documentation – Relay customer feedback to internal teams and contribute to support documentation, FAQs, and internal guides

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• IT & Cloud Security Governance – Managing security across Google Workspace, Microsoft 365, and SaaS platforms.

• Risk & Compliance Leadership – Ensuring alignment with ISO 27001, Cyber Essentials, and CIS 18.

• AI & Data Security – Driving best practices for AI-first security and compliance.

• Business-Focused Security Strategy – Supporting sales, contracts, and client security due diligence.

• Incident Response & Risk Management – Leading security response planning and mitigation strategies. Collaboration & Stakeholder Engagement – Partnering with engineering, product, and leadership teams to drive security initiatives.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Design and develop scalable AI architecture, including LLM integration, APIs, and agentic modules.

• Define the technical roadmap for AI systems, ensuring high availability, security, and performance.

• Collaborate with data scientists, ML engineers, and software engineers to optimise model deployment and infrastructure.

• Establish best practices for AI/ML pipelines, including data ingestion, model training, and inference.

• Research and integrate emerging AI technologies, frameworks, and methodologies. Ensure compliance with regulatory and ethical AI standards.

Benefits:

• A collaborative and innovative work environment with awesome career growth opportunities

• 34 days holiday plus your birthday off (inclusive of bank holidays)

• Share options – we believe in shared success

• Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do

• Remote and flexible working– remote, co-working spaces, or a mix of both Life insurance, income protection and private health care Freebies and discounts at a range of retailers Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Lead the development and delivery of AI agent modules, ensuring high-quality and business-aligned solutions.

• Act as the primary technical interface for senior business stakeholders, translating business needs into technical requirements.

• Manage and mentor a team of AI/ML engineers, fostering innovation and best engineering practices.

• Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making.

• Ensure seamless integration of AI agents with enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative development of AI-driven solutions.

Benefits:

• Salary up to £100,000

• A collaborative and innovative work environment

• Career growth opportunities towards Technical Lead and beyond

• Exposure to cutting-edge AI-first engineering practices

• 34 days holiday plus your birthday off Share options Remote and flexible working Life insurance Income protection Private health care Eyecare On-going career development and training Freebies and discounts Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Responsibilities:

• Provide technical leadership across squads, ensuring alignment with engineering and business priorities.

• Lead system design and architectural decisions, ensuring scalable and maintainable solutions.

• Mentor and coach Technical Leads, Senior Engineers, and Engineers, fostering a high-performance engineering culture.

• Drive best practices in secure coding, DevOps, and cloud-native development.

• Ensure AI-first engineering is embedded in development workflows, integrating AI-powered tools like GitHub Copilot. Work closely with Product and Delivery teams to scope, refine, and deliver high-quality software solutions. Oversee CI/CD pipelines, observability, and automation, leveraging GitLab runners and AWS infrastructure. Support risk management, ensuring compliance, security, and operational resilience within engineering teams.

Benefits:

• Salary up to £70,000

• A collaborative and innovative work environment

• Career growth opportunities towards Technical Lead and beyond

• Exposure to cutting-edge AI-first engineering practices

• 34 days holiday plus your birthday off Share options Remote and flexible working Life insurance Income protection Private health care Eyecare On-going career development and training Freebies and discounts Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support) Cycle to work scheme Pension scheme (employer contribution matched up to 5%)

Experience Requirements:

• 5 years +

Responsibilities:

• Develop and maintain scalable, high-quality applications using React, Node.js, and TypeScript

• Implement secure coding practices, ensuring compliance with industry standards.

• Mentor junior engineers, conduct peer code reviews, and drive best practices.

• Collaborate with Product, Delivery, and Technical Leads to refine requirements and execute solutions.

• Work with AWS cloud-native services (Lambda, Step Functions, DynamoDB) to develop efficient cloud-based applications. Ensure CI/CD best practices, contributing to GitLab pipelines, automation, and observability improvements. Integrate AI-powered tools (e.g., GitHub Copilot) to enhance development workflows. Drive continuous improvement in performance, security, and maintainability. Support cross-squad collaboration, ensuring architectural consistency and code reusability.

Benefits:

• This is a great opportunity to work at the cutting edge of Artificial Intelligence, Natural Language Processing and software development. Alongside a competitive salary, we also offer:

• 34 days holiday plus your birthday off

• Strong career progression opportunities

• Share options Remote and flexible working On-going career development and training Freebies and discounts (Free coffee, movie downloads, discounts on high street stores, supermarkets, and restaurants) Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support) Physical health (Access to fitness portal including HIIT workout, boxing, yoga as well as gym discounts) Pension scheme

Experience Requirements:

• 3 years +

Responsibilities:

• Develop NLP Components: Utilise general NLP techniques and Generative AI to design and implement key NLP components for products, addressing specific tasks such as information extraction, text classification, summarization, and other language processing tasks.

• Build and Evaluate GenAI Solutions: Leverage Cloud services such AWS and Azure services to build, test, and optimise Generative AI models and solutions, ensuring alignment with business requirements and scalability.

• Code Development & Review: Write, review, and maintain production-quality Python code for NLP applications, ensuring high-quality, reliable, and efficient code.

• Enhance Scalability and Observability: Optimize NLP solutions to be more scalable, observable, and resilient, with a focus on improving performance and monitoring in production environments.

• Stakeholder Communication: Serve as the main point of contact for stakeholders and clients regarding NLP components of projects, clearly communicating progress, challenges, and solutions. AI Problem Solving: Translate complex, subjective business problems into actionable AI solutions, leveraging NLP techniques to drive meaningful business outcomes. Collaboration with Teams: Collaborate effectively with NLP specialists, full-stack engineers, product managers, and other team members to ensure the successful integration of NLP components into products. Lead Client Projects & POCs: Lead client-facing projects, including running proof-of-concept (POC) projects, and working closely with clients to tailor NLP solutions to their needs. Continuous Improvement: Stay updated on the latest trends in NLP and Generative AI, and actively contribute to the improvement of internal processes and NLP solution capabilities. Documentation & Knowledge Sharing: Document solutions, best practices, and key learnings, sharing knowledge and providing mentorship to team members where necessary

Benefits:

• equity in a fast-moving, profitable startup

• Competitive compensation

• The company is already profitable

• CMU startup in close proximity to CMU

Education Requirements:

• MS or BS

Other Requirements:

• US citizenship, and eligibility to obtain TS/SAP clearance

• Desire to work with the world's leading experts in a fast-moving environment

Benefits:

• Generous paid time off

• Choose an annual donation by our Foundation to help a population of your choice

• Health, dental, and vision insurance

• Life insurance and long term disability

• Parental leave - Remote work - 401(k) plan

Experience Requirements:

• 4+ years of professional experience Python in a production environment

Responsibilities:

• - Work with Product to develop features that improve the quality of our bot chats

• - Evolve the technical platform with micro services, serverless, and containers

• - Write documentation as necessary

• - Provide technical guidance and code review

• - Mentor junior engineers and interns

Benefits:

• Competitive Salary

• Flexible Hours

• Great Location

• Remote Work Option

• Career Development through involvement in ambitious projects and regular integration meetings

Benefits:

• Flexible work hours & generous PTO

• High autonomy and support from a collaborative team

• New Macbook Pro

• Work from home stipend

• Personal development stipend

Experience Requirements:

• Have 5+ years of engineering experience in various tech environments, including product-driven companies.

• Have experience with TypeScript/React on the frontend, Python on the backend, adaptability, and a drive to learn new technologies.

• Are comfortable taking ownership in an ambitious, fast-paced and diverse startup environment.

• Possess significant experience in designing, building, and scaling production systems to deliver new product capabilities and manage increasing demand.

• Are committed to creating outstanding user experiences and take pride in developing solutions that meet customer needs.

Responsibilities:

• Design and build the development and production platforms that power our new products, enabling reliability and security at scale

• Own the development of new user-facing generative AI features and product experiences end-to-end

• Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world

• Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems

• Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

Benefits:

• Flexible work hours & generous PTO

• High autonomy and support from a collaborative team

• New Macbook Pro

• Work from home stipend

• Personal development stipend

Experience Requirements:

• Have 5+ years of engineering experience in various tech environments, including product-driven companies.

• Have experience with TypeScript/React on the frontend, Python on the backend, adaptability, and a drive to learn new technologies.

• Are comfortable taking ownership in an ambitious, fast-paced and diverse startup environment.

• Possess significant experience in designing, building, and scaling production systems to deliver new product capabilities and manage increasing demand.

• Are committed to creating outstanding user experiences and take pride in developing solutions that meet customer needs.

Responsibilities:

• Design and build the development and production platforms that power our new products, enabling reliability and security at scale

• Own the development of new user-facing generative AI features and product experiences end-to-end

• Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world

• Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems

• Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think

Experience Requirements:

• 10+ years of experience in java Web applications

• 5+ years of experience in architecting Java application

Responsibilities:

• Consult management team to clarify objectives and functional requirements of products.

• Work with domain, product management and product engineering teams in the solution engineering efforts.

• Work with pre-sales and product management teams in solution demonstrations.

• Maintain product roadmap and architectural standards that assure product development projects optimally align with business objectives.

• Contribute in development and Assist technical team with issues needing technical expertise or complex systems knowledge.

Experience Requirements:

• Minimum 4 + years of Experience

Responsibilities:

• Full stack developer for product using Java-script, Java, and Angular framework.

• Research and implement solutions for product requirements.

• Collaborate with internal and external teams across different locations

Other Requirements:

• Must be fast, efficient, problem solvers who can think creatively.

• We care what you can do, not if or where you went to school.

• If you have worked in the Legal Technology industry for over a year, you need not apply (we want fresh thinkers).

Benefits:

• Private healthcare plan + life insurance

• Sportscard for various sports activities

• Free English classes

• 20/26 days of paid holiday

• Training budget for skill development

Experience Requirements:

• 5+ years of relevant experience in data science/engineering

Responsibilities:

• Deploy machine learning solutions in production on AWS & GCP

• Participate in product discovery to propose ML product features

• Design, implement, and validate ML algorithms for visual similarity and recommendations

• Develop image-to-metadata solutions using multimodal LLMs to enhance artwork catalog data

• Write clean, efficient code following best practices in software development.Build prototypes, conduct experiments, and manage end-to-end ML projects.Collaborate with product, data engineering, and cross-functional teams.Research and evaluate new tools and technologies

Benefits:

• Gym membership

Education Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Experience Requirements:

• 2+ years of experience building and maintaining NLP/Large Language Models at scale.