Role Description A Forward Deployed Engineer (FDE) at Idoven is a rare combination: a technically strong engineer who thrives at the intersection of tech and client. You will be embedded — sometimes literally — in our most critical client accounts, helping them integrate, configure, and scale Idoven's AI platform within their own infrastructure and clinical workflows. This is not a support role. You will be a technical advisor, integration partner, and trusted problem-solver for clients like global medtech companies and pharma running large-scale clinical programs. You will work directly with client engineering and clinical teams, attend key meetings, and make implementation decisions on the ground — then bring those learnings back to shape Idoven's product and roadmap. What You'll Do - Lead technical integration projects with strategic clients: understand their infrastructure, design integration architectures, and drive implementations to completion. - Customize and configure Idoven's platform for client-specific clinical use cases and deployment environments. - Diagnose and resolve complex technical issues in live client environments — sometimes under time pressure. - Attend client meetings alongside commercial and clinical teams; provide technical credibility and translate AI capabilities into clinical and business value. - Build integration documentation, technical runbooks, and reusable assets that enable clients to scale without constant Idoven involvement. - Act as a feedback loop: surface product gaps, integration challenges, and technical debt back to Idoven's engineering and product teams. - Collaborate with the solutions engineering and clinical teams to improve the platform's scalability and configurability. Qualifications - +5 years of a mix of solutions engineering experience and client facing roles in Medtech, with a track record of delivering in client-facing or production environments. - Comfortable working directly with clients: able to lead, present, explain technical concepts to non-technical audiences, and build trust quickly. - Curiosity and fluency in the healthcare or clinical domain — you don't need to be a cardiologist, but you need to understand what a hospital's IT team is dealing with and why it matters clinically. - Solid technical skills: Python and/or backend development, APIs, cloud infrastructure, and data pipelines. - Autonomous problem-solver: when something breaks in a client environment, you own it until it's fixed. - Fluency in Spanish and English. - Background in healthcare AI, digital health, or SaMD required. Requirements - Experience at a company with a forward deployed, solutions, or professional services model (e.g., Palantir, Salesforce, or similar). - Familiarity with FHIR, HL7, DICOM, or healthcare interoperability standards. - Experience working with ECG, cardiac monitoring, or clinical trial data platforms. - Exposure to clinical or regulatory environments (CE marking, FDA, MDR). Benefits - 🚀 Be part of one of the most disruptive startups in HealthTech and AI and make a difference. - 🏆 Personal and professional growth as part of a fast-growing, international team. - 🎧 No corners cut in having the best tech equipment to do your job. - 🙋 Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to. - 📚 Learning and development opportunities and training budget. - 💸 Flexible Remuneration. - 👩🏻‍⚕️ Health Insurance covered by IDOVEN. - 🏋 Access to Wellhub (Gympass), empowering your physical and mental wellness! - 🖥️ Remote Work Allowance for your home office setup! - 🌴 23 holidays, your birthday off, and December 24th and 31st half days to celebrate! - 😎 Regular team events and Thursday happy hours. - And much more! Company Description At Idoven, we believe in hiring top talented people like you - ambitious, forward thinkers who want to make a difference in the world and have an impact. Diversity & Inclusion: At Idoven, we believe diverse teams build better products. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, gender identity, age, religion, sexual orientation, or disability.

Role Description Du studierst Germanistik, Literaturwissenschaft oder ein verwandtes Fach, liebst Bücher und arbeitest gern mit Sprache? Dann bietet dir unser Verlag für dein Pflichtpraktikum die ideale Gelegenheit, echte Einblicke in die professionelle Buchveröffentlichung zu erhalten. - Mitwirkung bei der stilistischen und orthografischen Prüfung von Manuskripten - Erstellung von Feedback-Notizen für Autoren - Unterstützung bei redaktionellen Abläufen - Einblicke in andere Arbeitsbereiche Qualifications - Studium im Bereich Germanistik, Literaturwissenschaft, Sprachwissenschaft, Journalistik oder vergleichbar - Sehr gutes Sprachgefühl & Freude am Formulieren - Einen Blick für's Detail - Sorgfältige und eigenverantwortliche Arbeitsweise - Interesse an Büchern und Verlagswesen - Praktikumsdauer: mind. 3, idealerweise 5–6 Monate Benefits - Einblicke in den gesamten Publikationsprozess - Arbeit in einem motivierten, jungen Team - Möglichkeit, eigene Ideen einzubringen - Flexible Arbeitszeiten - Home Office - Persönliches Praktikumszeugnis Neugierig geworden? Dann freuen wir uns auf deine Bewerbung!

Requisition Number: 2373067 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Pharmacy domain. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Solid proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. This role will involve close collaboration with Pharmacy Operations and Capability teams. On the Operations side, you'll engage directly with Pharmacists to understand and solve real-world challenges. On the Capability side, you'll work with Capability leaders to identify problem areas and co-design AI/ML solutions. You'll also contribute to broader initiatives in Pharmacy Modernization, aligning with organizational goals to leverage emerging AI technologies for reducing manual work, accelerating delivery, and improving Net Promoter Score (NPS). You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, develop, and deploy AI/ML models using GenAI technologies (LLMs, RAG, Agentic AI) - Utilize frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development - Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure - Conduct rigorous model testing, validation, and performance optimization - Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions - Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets - Stay current with emerging trends and advancements in generative AI and ML technologies - Ensure code quality and security by identifying and resolving vulnerabilities - Maintain solid programming practices with a focus on Python - Work Eastern Time Zone hours to support collaboration across a global team - Participate in on-call rotations as scheduled - Not a research focused role, but more of an AI/ML product development role in a software engineering team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - BS in Computer Science, Engineering, or related technical field (or equivalent experience) - 5+ years of industry experience in AI/ML or Data Science - 3 years of hands-on experience with Python and version control tools like GitHub - 3+ years of experience deploying AI/ML solutions in production environments - Experience with Git management and CI/CD best practices - Experience in designing high-level cloud architecture and solution designs for AI/ML solutions - Should have experience of AI/ML projects deployed in Production - Required Qualification: Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status). Preferred Qualifications: - Certifications in AI/ML or related technologies - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Knowledge of UAIS and MLRB - Familiarity with cloud platforms (Azure, AWS, Google Cloud) *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Lead delivery of AI-driven workflow automation and backend system initiatives end-to-end. • Translate complex operational and business problems into clear system designs and engineering execution plans. • Design backend architectures and workflow systems for multi-step insurance processes. • Define and implement system logic for approvals, state transitions, document flows and policy lifecycle automation. • Review architecture, code and implementation quality to ensure correctness, scalability and reliability. • Mentor engineers and raise overall engineering standards, system thinking and delivery quality. • Work closely with product, operations, QA and DevOps to deliver complete, production-ready systems. • Improve system stability through monitoring, debugging, root cause analysis and production issue resolution. • Ensure high-quality releases with strong operational awareness and minimal production risk.