Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: - UK & Ireland's premier AWS, Microsoft & Oracle partner - 3300+ strong, €350/£300m revenue business - 10+ years as a Great Place to Work in Ireland & UK - Best Workplace for Women in the UK & Ireland by GPTW - Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description We are seeking a Senior AI Product & Research Engineer (Consultant) to help design, prototype, and scale enterprise-grade AI products. This role combines deep technical AI expertise with strong product intuition and hands-on experience leveraging modern AI development tools and coding agents. You will work closely with leadership, engineering, and research teams to translate ambitious AI concepts into deployable, secure, and scalable production systems. What You Will Do: - Translate business and research objectives into scalable AI product architectures. - Rapidly prototype AI-driven applications using modern AI coding agents and developer copilots. - Design and implement enterprise-grade AI systems across model development, evaluation, and deployment. - Lead applied research efforts across LLMs, agentic systems, retrieval architectures, and applied ML. - Establish evaluation frameworks to measure model quality, safety, robustness, and business impact. - Architect production-ready AI applications with strong observability, monitoring, and iteration loops. - Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions. - Mentor internal engineers on modern AI development workflows and best practices. Qualifications Must Have: - 8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development. - Demonstrated experience building and shipping enterprise-grade AI products. - Deep familiarity with modern AI stacks (LLMs, RAG systems, fine-tuning, embeddings, orchestration frameworks). - Hands-on experience using AI coding agents and AI-assisted development tools in production workflows. - Strong product instincts: ability to balance technical feasibility, business value, and user experience. - Proficiency in Python and modern AI frameworks Nice to Have - Experience deploying AI systems in regulated or security-sensitive environments. - Familiarity with distributed systems and cloud-native architectures. - Background working at leading AI labs, big tech, or high-performance startups. - Experience designing internal AI platforms used by multiple teams. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo - Department: Digital, Data and Cloud

Title: Applied AI Engineer Job Description: We Breathe Life Into Data At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That's why we built the Healthcare Map - the industry's largest, most complete, precise view of the U.S. healthcare system - by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare's most complex questions for our partners. Across the healthcare ecosystem, we're helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver "wow," and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease - and enjoy the journey along the way. The Opportunity at Komodo Health: Healthcare in the U.S. is a mess. Komodo Health is fixing that-with data. We've mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers-pharma companies, payers, and health systems-use this data to make decisions that meaningfully improve patient outcomes. Labs@Komodo builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot, Komodo's AI-native product-designed with AI embedded directly into both the interface and the development workflow. By combining Komodo's unmatched healthcare data with modern LLMs, marmot is delivering some of the most compelling real-world insights of the new AI era. Mission of the Role: As an Applied AI Engineer, you will design and deploy end-to-end AI solutions that power real products and internal tools. You'll work at the intersection of applied research, engineering, and product development, bringing modern AI techniques into scalable production systems. You'll collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized. Looking back on your first 12 months at Komodo Health, you will have accomplished… - Ship production AI features that improve the precision, usability, and intelligence of Komodo's platform. - Design and deploy agent-based AI pipelines integrated into real customer-facing products. - Build internal AI productivity tools that accelerate engineering workflows across Komodo. - Prototype and validate new AI approaches using emerging research and model capabilities. - Contribute reusable prompt templates, orchestration patterns, and AI system architecture. - Implement monitoring, evaluation, and observability frameworks for deployed AI services. What You'll Own: - Designing, building, and deploying end-to-end AI systems for both product features and internal tooling. - Developing agent pipelines, prompt chains, and orchestration frameworks for LLM-driven workflows. - Selecting the appropriate AI techniques (LLMs, classic ML, or hybrid approaches) for specific problems. - Collaborating with product managers, engineers, and data scientists to define requirements and deliver solutions. - Building scalable AI services with monitoring, evaluation, and deployment pipelines. - Contributing reusable patterns to Komodo's AI infrastructure and internal tooling ecosystem. What you bring to Komodo Health (required): - Experience building production-grade AI systems or AI-powered applications. - Strong proficiency in Python. - Experience working with LLMs, prompt engineering, or agent-based architectures. - Familiarity with modern GenAI tooling and frameworks such as: vLLM, CrewAI, Strands, OpenAI / Chat Completions APIs - Ability to integrate AI capabilities across backend services and product interfaces. - Experience designing evaluation frameworks, testing strategies, or monitoring systems for AI features. - Strong collaboration skills across engineering, product, and data teams. Expectations of AI Use in this role (required): - At Komodo, AI is core to how we build. Engineers in this role are expected to actively experiment with new AI techniques, share learnings across teams, and contribute to evolving best practices for building reliable, scalable AI systems. You will play a key role in shaping Komodo's AI-first engineering culture. Additional skills and experience we'd prioritize (nice to have)… - Healthcare data expertise. - Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing. Location flexible: NYC or SF hybrid, and remote The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands. The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company's sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy. San Francisco Bay Area and New York City: $191,000 - $224,000 USD All Other US Locations: $166,000 - $195,000 USD Komodo's AI Standard At Komodo, we're not just witnessing the AI revolution - we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work - from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success. Join us in shaping the future of healthcare intelligence. Where You'll Work Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary - some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join. Equal Opportunity Statement Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By submitting your application, you acknowledge that you have read and understand Komodo Health's Privacy Notice for Employees and Contractors.

• Apoyar el desarrollo de soluciones basadas en IA generativa utilizando Azure OpenAI Services • Diseñar e implementar asistentes, agentes y flujos automatizados • Participar en el entrenamiento, evaluación y despliegue de modelos de Machine Learning • Ejecutar análisis exploratorio de datos (EDA) y construcción de modelos descriptivos • Elaborar y documentar pipelines de procesamiento y modelos

As an AI Engineer, you will be responsible for building production-grade RAG pipelines across both structured and unstructured data. This role requires a deep understanding of LLM behavior, prompt engineering, and advanced retrieval techniques. You will also design and optimize agentic workflows, implement effective tool-calling strategies, and ensure system reliability through evaluation, observability, and continuous iteration. You will also contribute to their AI platform, including an AI chat for legal professionals and orchestrating workflows, as well as context-aware AI features in Outlook and Word—such as intelligent email classification, attachment handling, and in-context document assistance (e.g., rewriting in redline mode). Company Profile: Our client is a Vienna-based IT company with over 50 employees across locations in Austria and Poland. The company is a key player in electronic filing and IT services, offering not only standard software and hardware solutions but also highly specialized industry applications. For more than two decades, its tailored solutions have earned the trust of a wide range of clients—including law firms, notaries, corporate legal departments, and public institutions—serving over 1,250 customers and 15,000 active users. As a recognized innovator in legal tech, the company places a strong emphasis on developing industry-specific solutions, with a particular focus on the legal sector. Apart from that the company does not only provide established solutions in the sectors of surveying and real estate, but also offers general electronic filing, ERP systems, and scalable IT services tailored to businesses of all professions and all sizes. Building on this foundation, the strategic direction is to further develop the Angular-based successor to its core legal product and to complement this new, constantly evolving product by developing related add-ons & integrations to support its core (e.g. office integration, automatic time tracker, AI integration & so on). Due to their continued success, they are looking to building their team in the Philippines and are seeking a skilled AI Engineer to join their dynamic technical team. This is an incredible career opportunity for someone who wants to gain experience in modern technologies, and tools. Career growth, state-of-the-art technologies to learn, and a highly collaborative working environment with brilliant people are some of the things that you could look forward to! Duties and Responsibilities: Building production-grade RAG pipelines - Indexing and retrieving across both unstructured files (Word, PDF, email, etc.) and structured relational database entries - Familiarity with indexing techniques such as OCR (multi-modal), Element-Extraction (Text, Table, Charts etc.), Summary Generation, HyQE, Keyword Extraction, Embeddings (Dense, Sparse, Late-Interaction), Named Entity Recognition etc. - Familiarity with advanced retrieval techniques such as Multi-Stage Retrieval, Content-Security-Policy, Filter-Extraction, Query-Rewriting, HyDE/HyQE, Query-Expansion, Hybrid-Search and Reranking (bi- und crossencoder) etc. Generative AI systems and underlying model behavior - Deep understanding of how modern LLM-based systems work beyond simpleAPI usage - Knowledge of hyperparameters and model controls such as Temperature, Top-P, reasoning effort, structured output, etc. - Solid prompt engineering skills, including instruction design, prompt structuring (e.g. XML tags / Markdown), ordering of instructions, separation between system / user prompts etc. Prompt management, evaluation, and observability - Prompt versioning, variants, testing, and iteration using tools such as Agenta or similar - Common evaluation and retrieval quality metrics such as Recall, Accuracy, F1, MRR, etc. - Use of observability / tracing tools such as Langfuse via OpenTelemetry (OTEL) or comparable stacks Agentic workflows and tool calling - Understand tool calling in depth and know how to properly design, scope, and separate tools to maximize reliability, maintainability, and overall system value - Design systems that do not simply expose “everything to the model”, but instead apply tool prioritization, preselection, and contextual narrowing (e.g. reducing a large toolset to only the most relevant candidates for a given task) - Understand concepts such as memory, state handling, context persistence, and workflow continuity, and know when and how these should be incorporated into agentic systems - Familiar with agentic architectures and know how to break down complex tasks into smaller, independently executable subtasks - Understand when workflows should be fully automated versus when Human-in-the-Loop (HITL) patterns are required, and are able to design such processes based on business logic, risk, and practical constraints