AI/ML Engineer Jobs

Our client, an AI-driven startup transforming the healthcare sector, is hiring a Senior/Staff Product Manager to join the team in San Francisco. The successful candidate will define and lead the next generation of the company's AI developer platform, building on industry-leading integrations with Anthropic's Claude, Microsoft Copilot and Salesforce to connect unified health records with leading payers and digital health applications.

Responsibilities

• Define and drive the product vision and roadmap for evolving the company's MCP Server into a comprehensive AI SDK, expanding from data retrieval to clinically grounded insights and action-oriented capabilities.

• Own the product strategy for the company's clinical data knowledge graph, defining how AI agents understand and navigate relationships across FHIR resources, including conditions, medications, labs, encounters, care plans, goals and their temporal relationships.

• Shape an exceptional AI developer experience, designing SDKs, tools, skills, prompts, structured artifacts and composable MCP capabilities that enable developers to build powerful health AI applications.

• Define the insight-to-action journey, enabling AI agents to identify care gaps, follow-up needs, preventive opportunities and appropriate next steps for patients.

• Develop the product strategy for connecting AI-generated insights to real-world care delivery, including providers, laboratories, pharmacies, specialists, telehealth platforms and care navigation services.

• Ensure SDK capabilities are built on the company's identity, consent, authorization and data provenance infrastructure, ensuring patients remain in control of how their health data is accessed and used.

• Identify, evaluate and build strategic ecosystem partnerships that expand the SDK's ability to connect patients with relevant healthcare providers, services and solutions.

• Collaborate closely with Engineering, Design and Clinical teams to translate product strategy into clear requirements, technical specifications, and production-ready capabilities.

• Own launch readiness, adoption and product success metrics, using developer and customer feedback to continuously improve the platform and accelerate adoption.

Skillset

• At least 7 years of technical product management experience, including a minimum of 3 years working across healthcare data, AI/ML platforms, developer infrastructure or related technologies.

• Deep expertise in the FHIR data model and the relationships between clinical resources, ideally with experience developing products using EHR data at scale.

• Strong understanding of the AI developer ecosystem, including MCP servers, agent frameworks, prompt engineering, tool and skill registries, structured outputs and emerging AI development platforms.

• Proven experience building and managing developer-facing products, including SDKs, APIs, platforms or technical infrastructure.

• Demonstrated ability to operate at Staff or Principal level, owning product strategy from initial vision through execution, launch and ongoing optimization.

• Strong ability to translate complex clinical data into actionable insights, recommendations and next-best actions.

• Understanding of identity, consent, authorization, auditability and data provenance, particularly within healthcare or other highly regulated environments.

• Proven experience developing and managing strategic technology and ecosystem partnerships, ideally within healthcare or digital health.

• Excellent technical communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and translate complex technical concepts into clear product requirements.

• A strong builder's mindset, with the ability to thrive in an early-stage environment, navigate ambiguity, make decisive product decisions, and move quickly from concept to production.

Benefits

• Salary: $200k - $250k.

• Equity.

• Comprehensive medical, dental and vision insurance.

• 401(k) and wellness benefits.

• Remote working options.

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 healthcare company focused on personalizing patient care, is hiring a Member of Technical Staff to join their team remotely. The successful candidate will help build and scale the AI and data systems powering next-generation primary care solutions, working closely with the core platform from day one while helping shape both the technical architecture and overall product direction.


Responsibilities

• Build and optimize AI agent workflows capable of complex reasoning, tool use and decision-making.

• Design guardrails, fallback mechanisms and escalation pathways to ensure safe patient-facing AI experiences.

• Develop and launch AI-powered product features from concept through to production.

• Improve retrieval systems to deliver accurate, traceable and explainable medical information.

• Enhance search quality, citation accuracy and data lineage across clinical knowledge systems.

• Rebuild and streamline data pipelines to improve reliability, integrity and freshness of healthcare data.

• Develop low-latency voice AI systems for clinical intake, triage and patient follow-up interactions.

• Build monitoring, analytics and observability systems to track AI performance, reliability and production health.

• Fine-tune foundation and multimodal models using clinical datasets to improve safety, accuracy and user experience.

• Create robust evaluation and training frameworks, including automated testing and human-in-the-loop feedback systems.

Skillset

• Strong software engineering skills with a focus on Python development.

• Proven experience designing and deploying production-grade AI/ML systems.

• Solid understanding of PostgreSQL, including JSONB structures and vector-based search capabilities.

• Experience working with AWS and distributed cloud architecture.

• Practical experience integrating LLM APIs and delivering AI-driven product features.

• Familiarity with frameworks and tooling such as PyTorch, Hugging Face, vLLM, Axolotl or similar technologies.

• Experience developing AI agents, autonomous workflows or RAG-based systems.

• Exposure to voice AI, multimodal applications or medical imaging technologies is a plus.

• Comfortable operating across infrastructure, backend engineering and product-focused workflows.

• Strong analytical, troubleshooting and systems-thinking skills.

Benefits

• Salary: $220k - $250k.

• Equity.

Our client, a global AI and Data organisation, are hiring a Senior Full Stack Engineer to join their team in Dublin. The successful candidate will design, develop and maintain full-stack applications, including AI agent solutions, APIs and microservices, as well as implement real-time monitoring systems and deliver enterprise-grade solutions.


Responsibilities

• Design, build and maintain full-stack applications using Python (backend) and React.js (frontend).
• Contribute to technical direction and strategy across all development phases.
• Develop AI agent solutions, including orchestration, workflow management and decision-making systems.
• Implement APIs and microservices to support AI agent communications and data exchange.
• Create real-time features for agent monitoring, logging and performance tracking.
• Troubleshoot and resolve technical issues across the full stack.
• Write clean, secure and maintainable code.
• Uphold software quality standards and mentor team members.
• Operate in an agile/DevOps environment with CI/CD pipelines.
• Explore and leverage AI tools to enhance innovation, efficiency and quality across the software development lifecycle.

Skillset

• Bachelor's or Master's degree in Engineering or similar.
• Minimum 5 years of experience in application development and support.
• Proficient in Python with experience in frameworks such as FastAPI, Django or Flask.
• Advanced React.js skills, including hooks, Redux/Context API and TypeScript/JavaScript.
• Experience designing RESTful APIs and working with AI/ML libraries (e.g. LangChain, OpenAI API, Bedrock).
• Familiarity with cloud platforms (AWS, Azure, GCP), containerisation (Docker, Kubernetes) and infrastructure-as-code (Terraform/CDK).
• Strong grasp of algorithms, data structures and design patterns.
• Hands-on experience with CI/CD pipelines and automation.
• Excellent communication and collaboration skills.

Benefits

• Salary: €90k - €110k.

• Generous bonus.

• Private healthcare and Life assurance.

• Pension scheme.

• Flexible hybrid working model.

Interested? Contact kylec@alldus.com to learn more.


**Please Note** Applicants must have the right to work in the Republic of Ireland. Sponsorship is not offered by our client.

Our client, a growing Digital Transformation Consulting organisation, is hiring a Full Stack Engineer to join the team in Dublin, Ireland. The successful candidate will play a pivotal role in shaping and delivering modern applications, integrating AI-driven agents and enabling scalable cloud deployments within a fast-paced, innovation-led environment.


Responsibilities

• Design, develop and maintain full stack applications using Python and React.js.

• Build and integrate AI-powered features, including agent workflows and decision-making logic.

• Design and deliver RESTful APIs and microservices.

• Implement real-time monitoring, logging and performance tracking solutions.

• Identify, troubleshoot and resolve issues across the full stack.

• Work closely with product, design and engineering teams to deliver high-quality solutions.

• Write clean, secure and maintainable code in line with best practices.

• Contribute to Agile and DevOps processes, including CI/CD pipelines.

• Evaluate and adopt AI tools to enhance development efficiency.

Skillset

• Bachelor's degree in engineering, computer science or similar.

• At least 3 years of proven experience in software development and application support.

• Strong expertise in Python, with experience in frameworks such as FastAPI, Django or Flask.

• Advanced proficiency in React.js, including hooks, state management and modern JavaScript/TypeScript.

• Demonstrated experience designing and building RESTful APIs.

• Practical experience working with AI/ML tools (e.g. LangChain, OpenAI API, Bedrock).

• Hands-on experience with Docker, Kubernetes and containerised environments.

• Experience using AWS or a similar cloud platform.

• Solid understanding of algorithms, design patterns and core computer science principles.

• Strong communication skills with the ability to collaborate effectively across teams.