Benefits:

• Competitive salary and benefits package.

• Career growth opportunities in a rapidly expanding sector.

Experience Requirements:

• 5+ years of professional experience in backend software engineering.

• Proven expertise in Large Language Models (LLMs), Generative AI, or similar advanced AI technologies.

• Hands-on experience with open-source LLM frameworks and tools, with a strong understanding of their deployment and optimization.

Responsibilities:

• Design, develop, and maintain robust, scalable backend services that power AI-driven customer engagement solutions.

• Implement and integrate AI models, including LLM technologies, to deliver personalized and seamless customer interactions.

• Optimize backend systems for performance, scalability, and reliability to support real-time AI-driven workflows.

Benefits:

• Competitive salary and benefits package.

• Career growth opportunities in a rapidly expanding sector.

Experience Requirements:

• 5+ years of professional experience in frontend software engineering.

Responsibilities:

• Design, develop, and maintain responsive and user-friendly interfaces for AI-driven customer engagement solutions.

• Collaborate with backend engineers to ensure seamless integration of AI models, including LLM technologies, into frontend applications, delivering personalized and seamless user interactions.

• Build and optimize highly responsive user interfaces using modern web frameworks and libraries, ensuring accessibility and exceptional user experiences.

• Implement intuitive data visualizations and interfaces that present AI-powered insights effectively to users.

Benefits:

• Competitive salary and benefits package.

• Career growth opportunities in a rapidly expanding sector.

Experience Requirements:

• 5+ years of professional experience in full-stack software engineering

• Proven expertise in Large Language Models (LLMs), Generative AI, or similar advanced AI technologies.

• Hands-on experience with open-source LLM frameworks and tools, with a strong understanding of their deployment and optimization.

• Strong experience in backend development, including API design, micro services architecture, and working with cloud platforms (especially Google Cloud).

Responsibilities:

• Design, develop, and maintain robust, scalable full-stack applications that power AI-driven customer engagement solutions.

• Implement and integrate AI models, including LLM technologies, to deliver personalized and seamless customer interactions.

• Build and optimize responsive user interfaces using modern web frameworks while ensuring exceptional user experiences.

• Ensure seamless integration between frontend components and backend services to deliver cohesive, end-to-end solutions.

Education Requirements:

• Bachelor’s degree in Computer Science, AI, Linguistics, or a related field (or equivalent experience).

Experience Requirements:

• Proficient in AI technologies with a strong grasp of natural language processing.

• Creative thinker with an eye for design and a passion for art.

• Excellent problem-solving skills and the ability to think outside the box.

• Experience in a collaborative tech environment, with a knack for clear communication.

Responsibilities:

• Design and optimize prompts that guide our AI in generating breathtaking visual content.

• Collaborate with our AI and creative teams to refine algorithms that understand and interpret artistic instructions.

• Conduct research and experiments to enhance the intuitiveness and effectiveness of AI-generated images.

• Be a part of a creative ecosystem, contributing to a tool that empowers artists and content creators worldwide.

Experience Requirements:

• Strong Python skills, including Pandas

• Solid Foundation of programming, algorithms, and computer basics, good coding style, strong hands-on ability

• Familiar with Stable Diffusion

• Development and deployment of ETL, data engineering, APIs, and scraping

• Database: SQL, NoSQL (MongoDB), ORM Basic DevOps with experience in AWS Familiar with git, have experience with CI/CD Familiar with Linux Familiar with Docker Bonus: Machine Learning, Statistics, Deep Learning Bonus: Graph theory

Benefits:

• 🌎 Distributed team

• ⏰ Async

• 🏖 Unlimited vacation

• 👀 No monitoring system

• 🚫 No politics at work

Experience Requirements:

• Extensive knowledge of Python, diffusers, Cog, and Replicate.

• A balance of software engineering and machine learning skills.

• You can squeeze every last drop of performance out of a GPU.

• Ideally, you're involved in the generative AI community and familiar with diffusion models and similar techniques.

• You don't need a PhD or know how to build new architectures from scratch.

Responsibilities:

• Optimizing our existing headshot generation pipeline code to be as photorealistic as possible.

• Experiment with Dreambooth and all variables like user uploads, training steps, etc.

• Implementing new image-gen pipelines like LoRa.

• General code and speed improvements.

• Experimenting with newly published models and how these could be utilized.

Experience Requirements:

• Proven experience as an iOS Developer with a strong portfolio of iOS applications.

• Proficiency in Swift and a deep understanding of iOS frameworks.

• Strong knowledge of iOS design principles, patterns, and best practices.

• Familiarity with RESTful APIs and integrating them into iOS applications.

• Solid understanding of memory management, multithreading, and networking in iOS applications.

Responsibilities:

• Collaborate closely with our product and design teams to understand requirements and translate them into functional and visually appealing iOS applications.

• Develop and maintain high-quality iOS applications using Swift and the latest iOS frameworks.

• Optimize application performance and ensure a smooth user experience by implementing efficient algorithms and techniques.

• Identify and resolve bugs, performance issues, and bottlenecks promptly.

• Conduct thorough testing to ensure the reliability, stability, and compatibility of the application.

Experience Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems

• Strong programming skills, with a preference for versatile individuals

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs

• Scale and distribute LLM training infrastructure to maximize efficiency

• Optimize evaluation pipelines to ensure accuracy and reliability

• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime

• Continuously improve LLM performance and accuracy

Experience Requirements:

• Proven experience as a Prompt Engineer or similar role in AI development.

• Proficient in designing and developing high-quality prompts for AI, particularly in conversational systems.

• Strong knowledge and experience in NLP and AI model fine-tuning.

• Excellent collaborative skills, with the ability to work closely with stakeholders to meet desired outcomes.

• Familiarity with recent advancements in AI technologies, such as Langchain, GPT-Index, and Agent GPT.

Responsibilities:

• Design, develop, and refine prompt patterns for AI applications to facilitate efficient and meaningful conversations.

• Collaborate with stakeholders to identify key prompt requirements and incorporate them into AI design.

• Test, troubleshoot, and optimize prompts to meet desired outcomes and to improve conversational quality and consistency.

• Design, develop, and maintain natural language processing (NLP) models, particularly for generating high-quality prompts for conversational AI systems such as ChatGPT, AutoGPT, and Turn-based Agents.

Experience Requirements:

• - Llama2 familiarity

• - Hugging-face

• - AI prompting

• - AI fine-tuning

Benefits:

• Flexible hours

• Remote work

• Competitive compensation

• Opportunity to learn and work in AI, and to make a positive impact on the development of the AI industry

• Opportunity to expand to other AI-related projects

Experience Requirements:

• Must be eligible to work in United Kingdom

• US English language speaker with good writing and proofreading skills

• Good knowledge of Finance subjects and the ability to craft original responses

• Excellent attention to detail

• A learning mindset - no prior experience in AI is needed

Responsibilities:

• Your main responsibility will be to create, evaluate, and refine pairs of prompts and responses for a sophisticated LLM.

Experience Requirements:

• 10+ years experience shipping AAA, casual or mobile games, with high complexity innovations (vs solely iterative or pure sequels), in a technical director type role.

• High comfort with technical complexity and ambiguity, and an interest to pioneer

• Exceptional communication, cross discipline collaboration and leadership skills

Responsibilities:

• Games technology strategy, development and prototyping

• Team Leadership

• Creative

Benefits:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Experience Requirements:

• You are experienced in technical and people leadership, making sound decisions and delivering outcomes on technical projects

• Passion for design. This team works at the intersection of engineering and design so a genuine desire or proven experience in this would be a huge bonus

• Commercial experience in Machine Learning or as a Backend Engineer in a related domain

• The ability to support the team to balance exploratory/innovative work with high priority feature delivery

• You can effectively communicate (inside the team and outside) the value of short- and long-term features, translating technical details to the business value, building support and trust from team members.

Responsibilities:

• Design, develop and deploy solutions to challenging Design AI problems – working closely with MLE's, backend engineers, frontend engineers, designers, and product managers to deliver features and experiments to our users

• Coach, mentor, and strengthen the team through project selection, knowledge sharing and balancing delivery expectations

• Nurture and grow skills in the team including machine learning, colour science, computational geometry, meta heuristics, design principles and related skills

• You will give meaningful input into the engineering direction and strategy for the team

• You will resource plan effectively as the feasibility of our projects are very tightly linked to the skills and strengths of specific engineers