AI Engineer Jobs

Our client, an innovative AI and Data company, is hiring a Head of Research to join the team in New York. The successful candidate will transform unique consumer-generated data streams into a gold standard for AI training and evaluation by shaping the company's research strategy, collaborating directly with leading AI labs, and establishing the organization as a recognised authority in audio data research and evaluation science.


Responsibilities

• Define and drive the company's AI research strategy, focusing on data evaluation, AI oversight and generative AI innovation.

• Develop strategic partnerships with leading AI research labs, academic institutions and industry experts.

• Build AI-assisted evaluation frameworks to measure, validate, and enhance audio and multimodal datasets.

• Translate emerging AI research advancements into scalable data solutions and production-ready capabilities.

• Position the organization as a recognized leader in audio AI, speech intelligence and AI evaluation science.

• Design and execute rigorous machine learning experiments, benchmarks and evaluation methodologies to support next-generation AI models.

• Represent the company across the global AI research ecosystem, building relationships with researchers, partners and technical communities.

• Collaborate with product and engineering teams to define AI data strategies, research priorities and innovation roadmaps.

Skillset

• Proven track record of impactful AI/ML research focused on data evaluation, generative AI or AI oversight.

• Deep expertise in audio, speech or multimodal AI systems, with strong understanding of emerging research trends.

• Experience working with frontier AI models, training pipelines and evaluation frameworks.

• Strong knowledge of AI evaluation methodologies, benchmarking and AI-assisted evaluation approaches.

• Experience designing and executing rigorous machine learning experiments using Python and PyTorch.

• Ability to translate complex AI research concepts into scalable, production-ready data solutions.

• Strong understanding of data quality, dataset development and evaluation strategies for AI model improvement.

• Proven ability to build relationships with leading AI researchers, technical partners and industry stakeholders.

• Strong communication skills with the ability to represent research concepts and technical insights to diverse audiences.

• Founder mindset with the ability to operate independently, drive innovation and deliver impact in a fast-moving environment.

Benefits

• Salary: $250k - $300k

• Comprehensive benefits package.

Our client, an innovative AI and Data company, is hiring a Data Operations Lead to join the team in New York. The successful candidate will own the end-to-end data lifecycle, shaping data operations, developing scalable processes, managing external partners and ensuring the highest standards of dataset quality to deliver high-quality, production-ready datasets for leading AI research teams.


Responsibilities

• Own the end-to-end delivery of high-quality AI training datasets, from raw audio data collection through to production-ready outputs.

• Collaborate with AI research teams and external partners to define, manage and deliver dataset requirements.

• Support the development and execution of commercial data agreements, ensuring successful delivery against customer expectations.

• Design, build and optimize operational workflows across transcription, annotation, quality assurance and dataset production.

• Develop robust data quality frameworks, acceptance criteria and validation processes to maintain delivery standards.

• Lead outsourced and international data operations teams, ensuring quality, efficiency and timely delivery.

• Partner with engineering teams to enhance data pipelines, tooling and operational scalability.

• Identify and implement improvements to increase dataset quality, reliability and operational efficiency.

• Serve as a key liaison between customers, internal stakeholders, engineering teams and external vendors.

• Contribute to the company's data strategy and help scale data operations as the organization grows.

Skillset

• Minimum of 5 years of experience building and scaling data operations, data pipelines or AI/ML data workflows.

• Proven experience working with audio, speech or multimodal datasets within AI or machine learning environments.

• Strong track record managing external data partnerships, dataset delivery and AI training data programs.

• Experience leading global or outsourced teams focused on data annotation, transcription and quality assurance.

• Strong understanding of data quality frameworks, validation processes and operational performance metrics.

• Technical proficiency across data pipelines, cloud infrastructure and AI/ML workflows.

• Knowledge of digital audio fundamentals, including sample rates, voice activity detection (VAD) and audio processing formats.

• Experience developing or managing AI training datasets for applications such as ASR, TTS, speaker identification or conversational AI.

• Familiarity with audio processing and data tools such as Librosa, FFmpeg, SoX, torchaudio, and cloud platforms including AWS, GCP or Azure.

• Entrepreneurial mindset with the ability to thrive in a fast-paced environment, take ownership and make decisions with limited information.

Benefits

• Salary: $180k - $220k

• Comprehensive benefits package.

Our client, an AI-driven company within the real estate sector, is hiring a Senior Software Engineer to join their team in New York. The successful candidate will play a key role in designing and delivering scalable systems that address complex, high-impact challenges.


Responsibilities

• Design, build and deliver production-grade software across the company's AI platform.

• Own major systems end to end, from architecture decisions through to implementation and delivery.

• Work closely with the CTO and founding team to define product direction and technical strategy.

• Build AI-powered workflows, including LLM pipelines and agentic systems where accuracy and reliability are critical.

• Develop solutions for complex legal, financial and institutional data challenges.

• Make thoughtful architecture decisions and solve complex engineering problems in ambiguous environments.

• Champion software quality, data integrity, security and reliability across the platform.

• Collaborate cross-functionally to deliver intuitive products for families and professionals.

Skillset

• At least 5 years of experience designing, building and delivering production-grade software solutions.

• Strong programming skills with Python and/or TypeScript.

• Proven experience designing scalable systems and making effective architecture decisions.

• Familiarity with LLM pipelines, AI agents, or the ability to quickly learn and apply emerging AI technologies.

• Strong focus on software correctness, reliability and working with sensitive or regulated data.

• Experience working with databases such as PostgreSQL and data-intensive systems.

• Strong problem-solving skills with a proactive approach to delivering impactful solutions.

• Experience working within fintech, legaltech, healthtech or other regulated industries is a plus.

• Previous startup experience is a bonus.

Benefits

• Salary: $170k - $230k

• Equity.

• Health insurance.

• 401(k).

Our client, an AI-powered SaaS organization, is hiring a Senior Software Engineer to join their team in New York City. The successful candidate will play a key role in designing, developing and maintaining the frontend and backend systems that support their AI platform, while delivering scalable, high-performance solutions and exceptional user experiences.


Responsibilities

• Design, build and maintain scalable frontend and backend applications powering the company's AI SaaS platform.

• Work closely with cross-functional teams to define, prototype and deliver innovative product features.

• Develop clean, maintainable code and scalable architectures for a complex, integration-focused platform.

• Create responsive, intuitive user interfaces that deliver seamless experiences across multiple devices.

• Improve application performance, reliability and scalability through continuous optimization.

• Design and implement APIs, backend services and efficient data processing workflows.

• Diagnose, troubleshoot and resolve technical issues to ensure platform stability.

• Contribute to code reviews, technical discussions and engineering best practices across the team.

• Keep up to date with emerging software engineering trends, AI technologies and industry advancements.

Skillset

• At least 5 years of experience as a Full Stack Software Engineer developing and scaling production-grade web applications.

• Strong hands-on experience with React.js and TypeScript for building modern frontend applications.

• Proven experience developing backend services, APIs and server-side applications.

• Strong understanding of RESTful APIs, asynchronous programming and modern software architecture patterns.

• Experience working with Generative AI technologies, including AI APIs, streaming outputs, embeddings and tool calling.

• Solid experience with cloud infrastructure, CI/CD pipelines and modern deployment practices.

• Proficiency with Git and contemporary software development workflows.

• Experience working with databases such as PostgreSQL/SQL, including data security concepts such as Row Level Security.

• Strong problem-solving abilities with excellent attention to detail and a focus on delivering high-quality solutions.

• Excellent communication skills with the ability to collaborate effectively across engineering, product and business teams.

Benefits

• Salary: $180k - $220k

• Flexible and Remote working options.

• Comprehensive health, dental and vision insurance benefits.

• Life and disability insurance coverage.

• 401(k) retirement plan.

Our client, a leading Healthcare organization, are hiring a Senior Front Engineer to join  the team in San Francisco or Cambridge, MA. The successful candidate will help build exceptional user experiences for a healthcare platform that enables patients to compare upfront pricing for virtual and in-person appointments, prescriptions and a wide range of healthcare services.


Responsibilities

• Develop, maintain and scale a modern Next.js web application.

• Own key customer-facing features, including search, appointment scheduling, provider profiles and patient checkout journeys.

• Build responsive, accessible and intuitive user interfaces that deliver an exceptional patient experience.

• Design and maintain reusable frontend components and contribute to frontend architecture decisions.

• Optimise application performance, reliability, and usability across devices and browsers.

• Write clean, maintainable and well-tested code following best practices.

• Collaborate closely with product designers, backend engineers, operations teams, and clinical stakeholders to deliver high-quality features.

• Contribute to technical discussions, solution design and continuous improvement initiatives.

• Troubleshoot issues across the application and contribute to full-stack development when required.

• Take ownership of features from concept through to deployment, ensuring a seamless user experience.

Skillset

• Minimum of 3 years' experience building production web applications using React.

• Strong proficiency in TypeScript and modern React development patterns.

• Experience with Next.js or similar frameworks, including server-side rendering (SSR) and static site generation (SSG).

• Strong understanding of REST APIs and backend data models.

• Experience building accessible, responsive, and high-performance web applications.

• Experience with Ruby on Rails and PostgreSQL is a plus.

• Previous experience in healthcare technology or other regulated industries is a bonus.

• Excellent attention to detail with a strong focus on UI quality and user experience.

• Strong analytical and problem-solving skills.

Benefits

• Salary: $150k - $225k

• Equity.

• Comprehensive benefits package.

Our client, a growing FinTech company, are hiring an AI Engineer to join their team in Colorado. The successful candidate will architect, develop and scale enterprise-grade multi-agent AI systems, taking ownership of complex solutions from initial design through to production deployment to shape the future of agentic AI within the financial services industry.


Responsibilities

• Design and develop production-ready multi-agent AI systems using modern agent frameworks and architectures.

• Build intelligent AI workflows that integrate retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services to support reliable agent execution, monitoring and fault tolerance.

• Create evaluation frameworks to assess reasoning performance, accuracy, groundedness, hallucination mitigation and financial correctness.

• Implement robust memory management, context handling and agent state persistence solutions.

• Collaborate with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

• Optimise AI systems for performance, latency, scalability, reliability and cost efficiency.

• Shape architectural decisions across model serving, vector databases, orchestration platforms, caching strategies and cloud infrastructure.

Skillset

• At least 6 years' experience in Machine Learning, including 3 years building and deploying Generative AI and LLM-powered applications in production environments.

• Demonstrated experience designing, developing, and deploying multi-agent AI systems.

• Deep expertise across multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and data synthesis techniques.

• Advanced Python programming skills with strong experience using modern AI and machine learning frameworks.

• Proven experience building distributed systems and deploying cloud-native applications across AWS, GCP or Azure.

• Experience developing monitoring, evaluation, and reliability frameworks to ensure the performance and safety of AI systems.

• Strong architectural and systems-thinking capabilities, with the ability to design scalable, multi-component AI platforms.

• Experience working in high-growth, fast-paced, or early-stage startup environments is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, a growing FinTech company, are hiring a Staff Machine Learning Engineer to join their team in Colorado. The successful candidate will play a key role in designing and building production-grade, multi-agent AI systems that power advisor copilots, investment intelligence, workflow automation and autonomous research.


Responsibilities

• Design, develop and deploy production-grade multi-agent AI systems using modern agent frameworks and large language models (LLMs).

• Build intelligent AI workflows that combine context retrieval, reasoning, tool execution, validation and compliance controls.

• Develop scalable distributed services for agent orchestration, with a focus on observability, monitoring, resilience and fault tolerance.

• Create evaluation frameworks to assess reasoning quality, accuracy, groundedness, hallucination mitigation and financial correctness.

• Implement scalable approaches to memory management, context handling and persistent agent state.

• Collaborate closely with Product, Design and Engineering teams to translate business requirements into scalable AI solutions.

• Continuously optimize AI systems for performance, latency, reliability, scalability and cost efficiency.

• Influence the design and evolution of AI infrastructure, including model serving, orchestration, vector databases, caching and cloud-native architecture.

Skillset

• At least 6 years of experience in Machine Learning, including 2-3 years building and deploying Generative AI or LLM-powered applications in production environments.

• Proven experience designing, developing and implementing production-ready multi-agent AI systems.

• Strong expertise in multimodal LLMs, agent frameworks, knowledge graphs, reinforcement learning, model fine-tuning, agent memory and synthetic data generation.

• Advanced Python programming skills with hands-on experience using modern AI and machine learning frameworks.

• Experience building distributed systems and deploying cloud-native applications across AWS, Azure or Google Cloud Platform (GCP).

• Strong understanding of AI system monitoring, evaluation frameworks, reliability engineering and model performance optimization.

• Demonstrated ability to design scalable, enterprise-grade AI architectures that integrate multiple models, services, and workflows.

• Previous experience working in a fast-paced startup or scale-up environment is highly desirable.

Benefits

• Salary: $200k - $275k

• Comprehensive benefits package.

Our client, an AI-driven customer engagement organization, is hiring a Founding Product Engineer to join their team in New York. The successful candidate will work closely with the founders, engineering, design and commercial teams to shape product strategy, drive roadmap development, enhance the customer experience and help define an entirely new product category.


Responsibilities

• Develop and deliver product strategy, roadmap planning and feature prioritization.

• Engage with customers to understand their challenges, gather feedback and uncover new opportunities.

• Partner with engineering and design teams to deliver innovative, high-quality product features.

• Lead the end-to-end product lifecycle, from discovery and validation through to launch, optimization and continuous improvement.

• Turn customer insights, market trends and business needs into impactful product decisions.

• Maintain a strong focus on user experience, ensuring every release meets high standards of quality and usability.

• Foster collaboration across cross-functional teams to keep projects aligned and move forward efficiently.

• Monitor product performance using data, customer feedback and key metrics to guide future enhancements.

• Utilize AI tools to accelerate product research, prototyping and development workflows.

• Contribute to the long-term product vision while supporting the company's continued growth and innovation.

Skillset

• At least 5 years' experience in Product Management, Software Engineering or a founding role within a technology company.

• Proven ability to take products from early concept through to successful market launch and customer adoption.

• Customer-focused approach with experience conducting user research and turning insights into impactful product improvements.

• Experience collaborating closely with engineering teams in agile software development environments.

• Strong analytical and problem-solving skills, with the ability to make informed, data-driven product decisions.

• Solid understanding of SaaS products, platform development and product strategy.

• Hands-on experience using AI tools, with a strong understanding of the rapidly evolving AI landscape.

• Excellent communication, collaboration and stakeholder management skills.

• Previous startup or founding team experience is a bonus.

Benefits

• Salary: $150k - $190k.

• Equity.

• Comprehensive benefits package.

Our client, an AI-driven customer engagement company, is hiring a Senior Software Engineer to join the product engineering team in New York City. The successful candidate will design, build, and scale innovative products that transform how revenue teams operate. You'll have the opportunity to influence product strategy, technical architecture and engineering best practices while delivering high-impact features used by thousands of customers.


Responsibilities

• Design, build and deliver end-to-end full-stack features from concept through to production.

• Develop scalable frontend and backend applications using React, TypeScript, Next.js, Node.js and Go.

• Build, maintain and optimize cloud-native solutions within AWS.

• Design and implement scalable, high-performance system architectures.

• Work closely with product and leadership teams to turn customer feedback into impactful product features.

• Enhance platform reliability through testing, monitoring, observability and resilient system design.

• Support and mentor engineers by providing technical guidance and constructive code reviews.

• Help shape the technical roadmap by contributing to architectural decisions and engineering best practices.

Skillset

• At least 5 years' experience building and shipping production-grade software applications.

• Strong commercial experience with JavaScript/TypeScript and React.

• Hands-on experience developing backend services using Node.js and Go (Golang).

• Strong proficiency with AWS and cloud-native development practices.

• Solid understanding of distributed systems and software architecture principles.

• Experience designing and delivering scalable, high-performance backend systems.

• Demonstrated ability to make effective technical and architectural decisions.

• Strong problem-solving skills with a collaborative mindset.

• Excellent communication skills, with the ability to thrive in a fast-paced startup environment.

Benefits

• Salary: $200k - $250k.

• Equity.

• Comprehensive health insurance.  

Our client, an exciting AI-focused consumer services company, are hiring a part-time iOS Engineer to join their team in New York. The successful candidate will sit at the intersection of design and engineering, shaping ideas through critique, iteration and implementation. You'll have ownership of the iOS experiences you build, working autonomously while collaborating closely with both teams.


Responsibilities

• Enhance the quality and polish of the company's native iOS experience, delivering smooth motion, intuitive gestures, seamless transitions and impactful haptics.

• Collaborate closely with design and engineering teams to transform early concepts into polished, production-ready features.

• Take ownership of the implementation and performance of interaction-rich experiences, ensuring they are responsive, consistent and engaging.

• Develop and refine native iOS features, including Widgets, Live Activities, App Clips and other platform-integrated experiences.

• Work confidently from evolving requirements and early-stage concepts, helping shape and refine solutions throughout the development process.

• Apply thoughtful motion and animation to enhance usability, recognizing when visual effects improve the experience and when simplicity delivers better results.

Skillset

• Proven experience developing high-quality native iOS applications using Swift and SwiftUI.

• Strong understanding of iOS interaction design, including gestures, animations, transitions, haptics, App Clips, Widgets and Live Activities.

• A design-focused engineering mindset with a passion for creating polished, intuitive, and high-performance user experiences.

• Experience translating evolving concepts and designs into refined, production-ready features while working within established design systems.

• Ability to work effectively within existing codebases, improving and extending products without unnecessary refactoring.

• Experience with modern development tools, AI-assisted workflows and asynchronous collaboration.

• Familiarity with technologies such as Kotlin/Jetpack Compose, TypeScript, Postgres (Supabase), Snowflake, AWS and Cloudflare.

• Experience using analytics and observability tools such as Amplitude, Statsig, Sentry  and Grafana Cloud is a bonus.

• Previous experience developing media content, or social applications, or publishing personal iOS apps is highly desirable.

• Experience with animation frameworks such as Rive, Lotti  or Core Animation, alongside a strong portfolio showcasing exceptional iOS craftsmanship, is an advantage.

Benefits

• Competitive Salary.

• Equity.

Our client, a fast-growing venture-backed FinTech startup, is hiring a Software Engineer to join their team in California. The successful candidate will play a key role in shaping both product and engineering foundations, building new features and products at the intersection of deep learning, computer vision and payments infrastructure from the ground up.


Responsibilities

• Build and deliver core product features across the full stack.

• Develop Machine Learning-powered systems for fraud detection and card scanning.

• Improve frontend user experience and backend functionality.

• Design, implement and maintain databases and production infrastructure.

• Write practical Python scripts and rapid prototypes to support experimentation.

• Work closely with the CEO to shape product direction and strategy.

Skillset

• Product-focused engineer with a practical, problem-solving mindset and real-world impact focus.

• Broad technical capability across frontend, backend data, and infrastructure.

• Strong commitment to production-grade systems and high code quality.

• Proven ability to work independently in fast-paced startup environments.

• Strong bias toward shipping and iterating on user-facing features quickly.

• Interest or experience in deep learning and computer vision.

Benefits

• Salary: $130k.

• Equity.

Our client, a growing AI and Data-driven organisation, are hiring a Head of Responsible AI to join their team in Dublin, Ireland. The successful candidate will lead the company's global Responsible AI strategy, ensuring AI is developed and deployed securely, ethically, in compliance with regulations and with long-term business value.


Responsibilities

• Lead and evolve the organisation's enterprise Responsible AI function, defining the strategy, governance framework and operating model for trusted AI across the organisation.

• Partner with executive leadership, including the CIO and General Counsel, to chair AI governance initiatives and drive responsible AI decision-making.

• Establish and maintain enterprise-wide AI governance, including model inventories, audit capabilities and oversight processes.

• Embed Responsible AI principles into engineering, LLMOps and DevSecOps practices to ensure AI systems are secure, scalable and compliant by design.

• Lead AI security initiatives, including adversarial testing, red teaming and AI risk management, to strengthen resilience against emerging threats.

• Ensure compliance with global AI regulations and standards, including the EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework.

• Collaborate with major clients and internal stakeholders to demonstrate AI governance, security and trust, supporting business growth and client confidence.

• Build, mentor and lead a high-performing Responsible AI team while building a culture of responsible AI adoption through enterprise-wide education and awareness.

• Serve as a strategic leader with global influence, representing the company's Responsible AI vision internally and externally.

Skillset

• Masters or PhD Computer Science, Data Science, Law or similar.

• Minimum of 10 years' leadership experience in technology, artificial intelligence, cyber security, legal or risk.

• At least 5 years of experience specialising in Responsible AI, AI governance, AI security, AI ethics or AI risk management.

• A strong understanding of modern AI technologies, including Generative AI, large language models (LLMs) and enterprise AI platforms.

• Proven experience designing and implementing governance frameworks within large, complex or highly regulated organisations.

• In-depth knowledge of global AI regulations and standards, including the EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework.

• Certifications in AI governance, security, ethics, or risk management would be an advantage.

• Excellent communication and stakeholder management skills.

Benefits

• Salary: €160k - €220k DOE.

• Equity.

• Performance bonus.

• Healthcare cover, Pension and Life assurance.

• Flexible hybrid working.

Our client, an AI-driven startup within the health finance industry, is hiring a Founding Engineer to join the team in San Francisco. The successful candidate will play a pivotal role in shaping the company's product strategy, technical architecture, customer experience and overall growth trajectory, all while developing cutting-edge AI solutions that address complex, real-world challenges across the healthcare ecosystem.


Responsibilities

• Design, develop and launch customer-centric product features, taking ideas from initial concept through to production deployment.

• Create scalable AI-driven solutions, intelligent automation capabilities and next-generation healthcare technology platforms.

• Partner directly with customers to understand business challenges, gather requirements and deliver high-impact solutions.

• Take full ownership of the software development lifecycle, including solution architecture, development, testing, deployment, monitoring and continuous improvement.

• Develop and optimize applications leveraging APIs, Large Language Models (LLMs), agentic AI frameworks and Retrieval-Augmented Generation (RAG) technologies.

• Help shape the product roadmap and play a key role in strategic technical decision-making as an early member of the engineering team.

• Work closely with the founders to establish engineering best practices, influence company culture and contribute to the long-term vision of the business.

Skillset

• At least 2 years of experience designing, building and delivering full-stack applications from concept through to production.

• Proven expertise working with APIs, Large Language Models (LLMs), AI-powered solutions and Retrieval-Augmented Generation (RAG) frameworks.

• Hands-on experience developing and orchestrating agentic AI workflows, automation solutions, and autonomous systems.

• Strong proficiency in React, coupled with a keen eye for product design, usability and user experience.

• Experience with Go, PostgreSQL and Google Cloud Platform (GCP).

• Previous exposure to healthcare, emergency medical services (EMS), 911 operations, insurance or medical billing environments is beneficial.

• NREMT certification or practical EMS experience is a plus but not essential.

• Strong communication and interpersonal skills, with the confidence to collaborate directly with customers and key stakeholders.

• Self-motivated and comfortable taking ownership of projects in a high-growth startup environment.

Benefits

• Salary; $140k - $220k.

• Equity.

• Comprehensive health, vision and dental coverage.

• Wellness and fitness benefits.