Role Description We’re looking for an exceptional early-career engineer who has grown up building with AI. You may be fresh out of university, still studying, or entirely self-taught. What matters most is raw ability, curiosity, strong technical instincts, and a genuine obsession with modern AI tooling. This is a high-growth role for someone who wants to learn how a company is built from the inside while contributing to real product work from day one. You’ll work closely with the founders and senior engineers, build real features and prototypes, and learn how to use AI agents to move faster than traditional teams. What You’ll Do - Build real features, prototypes, and demos using tools like Codex, Claude Code, and modern AI coding agents. - Turn ideas into working demos quickly, then help make them more reliable, scalable, and production-ready. - Learn how to direct, evaluate, and control AI coding agents to multiply engineering output. - Work closely with founders and senior engineers across product, engineering, and strategy. - Explore new AI development workflows and help the team move faster. - Contribute to a fast-moving product where experimentation, speed, and quality all matter. Qualifications - You build with AI tools regularly and can show us what you’ve made. - You have examples of projects, repos, demos, prototypes, or technical experiments. - You’re excited about tools like Codex, Claude Code, Cursor, AI agents, and agentic development workflows. - You learn by building and ship constantly. - You have strong technical curiosity and are willing to figure things out independently. - You care more about output and learning speed than titles or credentials. - You’re comfortable working in a fast-moving environment with real responsibility. Bonus Points - You’ve created content, demos, or tutorials around AI or software development. - You’ve tried to start something of your own. - You have a side project you’re deeply interested in. - You’ve experimented with AI agents, coding workflows, automations, or developer tools. - You’re interested in AI infrastructure, enterprise AI, governance, or agentic systems. Benefits - Front-row seat: Learn how a company is built directly from founders and senior engineers. - Real responsibility: You’ll work on meaningful projects, not just small tasks. - Strong mentorship: You’ll be supported while being pushed to grow quickly. - Frontier work: Build in one of the most exciting categories in tech right now. - Output-first culture: We care about what you can build, learn, and ship. What We Offer - Work alongside the ChainGPT core team on high-impact AI and Web3 products across our ecosystem. - Remote-first setup with flexible hours, focused on outcomes, trust, and ownership. - Competitive compensation, with performance-based upside where applicable to the role. - Fast-moving environment with direct collaboration across all team members, including senior management, and clear accountability with no micromanagement. - The support to do your best work, including the tools you need, structured onboarding, and clear room to grow.

Role Description You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack. This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure. Responsibilities - Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml - Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments - Integrate AI features into existing products, enriching them with the latest advancements in machine learning - Excellent programming skills in C++, experience in Javascript is a bonus - Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures - Good understanding of deep learning concepts and model architectures - Experience with transformers, LLMs, Diffusion models - Demonstrated ability to rapidly assimilate new technologies and techniques - A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D Benefits - Remote flexibility: Work where and how you work best - we trust you to deliver - Fair compensation: Competitive salary + benefits that matter (medical, learning) - Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety - AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them - Learning investment: English classes, professional development - Career progression: Real paths up, not just sideways shuffling - Responsive teammates: No ignored Slacks, no "not my problem" attitudes - Supportive culture: When you're stuck, people help. When things break, we fix them together - Human connections: Regular meetups, tech talks, and actual relationships beyond work

Role Description You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack. This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure. Responsibilities - Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml - Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments - Integrate AI features into existing products, enriching them with the latest advancements in machine learning - Excellent programming skills in C++, experience in Javascript is a bonus - Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures - Good understanding of deep learning concepts and model architectures - Experience with transformers, LLMs, Diffusion models - Demonstrated ability to rapidly assimilate new technologies and techniques - A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D Qualifications - Excellent programming skills in C++ - Experience in Javascript is a bonus - Strong experience with Llama.cpp and ggml inference engines - Good understanding of deep learning concepts and model architectures - Experience with transformers, LLMs, Diffusion models - A degree in Computer Science, AI, Machine Learning, or a related field Requirements - Demonstrated ability to rapidly assimilate new technologies and techniques Benefits - Remote flexibility: Work where and how you work best - we trust you to deliver - Fair compensation: Competitive salary + benefits that matter (medical, learning) - Ownership opportunities: See a problem worth solving? Own it. We back smart risks over bureaucratic safety - AI enhancement: We leverage AI to make you faster and stronger - complementing your abilities, not replacing them - Learning investment: English classes, professional development - Career progression: Real paths up, not just sideways shuffling - Responsive teammates: No ignored Slacks, no "not my problem" attitudes - Supportive culture: When you're stuck, people help. When things break, we fix them together - Human connections: Regular meetups, tech talks, and actual relationships beyond work

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI team you will develop, test, and validate Generative AI agents and data pipelines, promoting reliability, scalability, and alignment with PwC standards. As a Senior Associate you will analyze complex problems, mentor others, and maintain elevated standards while collaborating with multidisciplinary teams to support AI-enabled client solutions. This position provides an exciting opportunity to enhance your skills in automated testing and governance controls while contributing to innovative AI-driven solutions. Responsibilities - Apply automated testing and governance controls effectively - Analyze complex issues and provide actionable insights - Mentor and guide junior associates in their tasks - Uphold rigorous standards of quality and technical excellence What You Must Have - Bachelor's Degree in Computer Science, Data Processing/Analytics/Science - At least 2 years of experience in data engineering, AI/ML engineering, or quality engineering - In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college What Sets You Apart - Demonstrating three years of specialized training in technology preferred - Experience with test automation and CI/CD pipelines - Familiarity with LLMs and prompt engineering concepts - Understanding enterprise data patterns and quality frameworks - Building and maintaining automated test suites for AI agents - Validating integrations with Power Automate platform - Executing LLM evaluation frameworks using defined metrics - Working with data scientists and ML engineers - Upholding professional standards and documentation expectations The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote #LI-Hybrid #BI-Hybrid