Title: Fullstack AI Engineer Location: Poland Remote Job Description: About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work. We're in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines. At airSlate, we're building value for customers and a culture where growth and innovation go hand in hand. We're looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. DocHub We are a small but ambitious team of 20+ technologists on a mission to succeed with our Google-integrated PDF editor and Signature solution - DocHub. DocHub streamlines document editing, signing, distribution and forms completion to get your documents done. Offering a deep integration with Google Workspace, DocHub allows users to import, export, modify, and sign documents directly from Google apps to ensure smooth business processes and interactive workflows. DocHub has several million monthly active users and is highly rated in the Google Workspace Marketplace. We are building new features and functionality to target larger customers and will deploy generative AI features this year. Our team has several senior engineers who have worked at DocHub for many years and have a deep understanding of the technology stack. We make decisions quickly and are always searching for ways to streamline our customers' workflows. And now, we are looking for a Fullstack AI Engineer who is prepared to contribute to the next chapter of our company's growth. What you'll be working on: - Fullstack Development: Build, maintain, and optimize scalable backend features using Ruby on Rails and front-end interfaces for AI integrations using TypeScript. - API Integration: Connect and manage integrations with major LLM providers (OpenAI, OpenRouter). - AI Agent Orchestration: Implement and manage multi-step, autonomous AI workflows - RAG Implementation: Combine retrieval mechanisms with generative models to improve information accuracy and relevance. - Prompt Engineering: Craft and refine prompts to optimize AI responses and outputs. - Model Optimization: Opportunity to customize pre-trained models and optimize LLM inference as needed. What we expect from you: - 4+ years of professional experience with Ruby on Rails - Proficiency with TypeScript - Experience building agentic flows and working with LLM APIs - Proficiency with SQL - Experience with vector databases (e.g., Pinecone, Milvus, pgvector) is a major plus - Experience with modern frontend development - Familiarity with testing tools and frameworks - Ability to evaluate various technical approaches and methodologies to ensure the delivery of optimal, high-quality results. - Excellent communication skills, with a focus on proactive status reporting and ensuring alignment through active listening and clarifying requirements. If you're seeking a dynamic environment that encourages creativity, collaboration, and continuous improvement, you've come to the right place. Join us as we transform the way organizations operate and leave a positive impact on millions of users worldwide. What we offer Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries. Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience, plus a performance-based bonus system and stock options so you share in the company's growth. Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate. Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge. Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we're committed to making work and life easier to balance. Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams. Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow. It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.

• 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. • 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 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 • 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

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.