Role Description Wir beraten seit 2022 ambitionierte E-Commerce-Brands beim profitablen Skalieren. Über 500 begleitete Marken, mehr als 40 Mio. € verwaltetes Werbebudget. Jetzt bauen wir ein zweites Standbein: Statt nur zu beraten, übernehmen wir für ausgewählte Kunden die operative Umsetzung komplett. Done-for-you, KI-gestützt, mit klaren Prozessen. Dafür suchen wir die Person, die das ownt: liefert, mitverkauft und unsere Prozesse so dokumentiert, dass sie skalieren. - Meta- und Google-Ads-Accounts betreuen: Strategie, Video-Briefings, Static-Generation, Reporting, Skalierung - E-Mail-Marketing aufsetzen und fahren (Klaviyo o.ä.) - Shop- und Landingpage-Optimierungen koordinieren und umsetzen - Wiederkehrende Tasks von Kunden mit KI automatisieren - Pro Kunde sauberes Projektmanagement, den Überblick behalten ohne dass etwas durchrutscht - Bestandskunden aktiv weiterentwickeln: erkennen, was als Nächstes gebraucht wird, vorschlagen und verkaufen (Cross- und Upsell) - Deine Prozesse als SOPs und Videoanleitungen in unsere Wissensdatenbank (Skool) überführen Qualifications - 3–5 Jahre Erfahrung in einer E-Commerce-Agentur oder als Marketer in einer D2C-Brand - Du weißt aus der Praxis, wie gute Ads, gute Shops, gute Copy und gute Landingpages aussehen und kannst das beurteilen und einfordern, nicht nur ausführen - Solides Projektmanagement: mehrere Kunden parallel, ohne dass etwas liegen bleibt - Sicher im direkten Kundenkontakt und mit Gespür fürs Verkaufen. Du erkennst, was ein Kunde als Nächstes braucht, und sprichst es an. - Strukturierte, eigenständige Arbeitsweise. Bei uns gibt es kein Micromanagement, dafür volles Vertrauen. - Echtes Interesse an und Erfahrung mit KI: nicht "schon mal ChatGPT benutzt", sondern richtig Bock, Online-Marketing damit neu und besser zu bauen Benefits - Volle Eigenverantwortung und Ownership ab Tag 1 - Ein lean aufgestelltes, hochprofitables Unternehmen ohne Agentur-Hustle-Kultur und ohne 15 Meetings am Tag - Von überall aus Arbeiten und maximale Freiheit in deiner Arbeitsgestaltung, weil wir dich ausschließlich nach deiner Leistung bewerten. - Du siehst innerhalb kürzester Zeit die Früchte deiner Arbeit, kannst mit unseren Kunden neue Umsatzrekorde brechen. - Direkte Zusammenarbeit mit Berend und einem kleinen, starken Team. Kurze Wege, schnelle Entscheidungen. - Die Chance, von Anfang an mit einem modernen KI-Stack zu arbeiten und mitzubauen, statt nur Tickets abzuarbeiten. - Vollzeit, Remote oder hybrid (Büro in Köln & Monheim) - Kein Motivationsschreiben-Roman. Zeig uns an einem echten Beispiel, was du schon betreut oder gebaut hast, und schreib uns in ein paar Sätzen, warum KI plus E-Commerce dein Ding ist.

Role Description We are seeking an Agentic AI Engineer to design, build, and deploy sophisticated multi-agent AI systems that operate autonomously across complex enterprise environments. You will architect agent-to-agent orchestration pipelines, fine-tune foundation models, and integrate retrieval-augmented generation (RAG) into scalable backend infrastructure — bridging the gap between cutting-edge AI research and real-world production deployment. This is a high-impact role at the frontier of agentic AI, building the intelligent systems that will define the next generation of enterprise automation. What You’ll Own - Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks. - Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration. - Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines. - Develop APIs and backend services (FastAPI/Flask/Node.js) and integrate with enterprise systems (HRIS, CRM, ERP). - Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage. - Containerize, deploy, and monitor agents (Docker, Kubernetes, CI/CD pipelines) with observability and drift detection. - Collaborate with QA, red teaming, and product leads to benchmark accuracy, safety, and compliance. Qualifications - Advanced proficiency in Python, PyTorch/TensorFlow, Hugging Face, and fine-tuning techniques (LoRA, RLHF). - Hands-on experience with LangChain/LangGraph, MCP, A2A orchestration, and multi-agent architectures. - Proficient in ETL pipelines, SQL/NoSQL, vector DBs (Pinecone, Weaviate, FAISS, Milvus). - Backend expertise in FastAPI/Flask/Node.js, REST/GraphQL APIs, and microservices. - DevOps/MLOps experience: Docker, Kubernetes, CI/CD (Jenkins/GitHub Actions), monitoring/observability. - Cloud experience with AWS/GCP/Azure AI services and secure integration practices. - Bonus: familiarity with enterprise HR/ATS systems (Workday, SAP, Paychex) and workflow automation. Requirements - The expected salary range for this position is $100,000 – $120,000 USD per year, based on experience, skills, and qualifications. Important Information Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams . If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Title: Applied AI Engineer Location: United States Full time job requisition id 31151736 Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: - Career development with an international company where you can grow the career you dream of. - Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year - An excellent retirement savings plan with high employer contribution - Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. - A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. - A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Applied AI Engineer position can work out remotely within the U.S. The Applied AI Engineer role supports the development and implementation of AI-powered systems to address business use cases. Key responsibilities include assisting in building AI solutions, working with large language models, supporting use case development, monitoring model performance, collaborating with cross-functional teams, and continuously learning emerging AI technologies. What You’ll Work On - Support Abbott’s growing AI Ops initiatives - Assist in building and maintaining AI platforms across teams - Contribute to developing AI solutions for business use cases - Work with large language models and support customization efforts for applications - Help develop and test data-driven, AI-enabled systems - Collaborate with team members and stakeholders to understand business needs and support solution development - Demonstrate analytics and AI expertise with a solid foundation in programming - Assist in deploying models to cloud platforms such as AWS and Microsoft Azure - Continuously learn new AI technologies and contribute to team knowledge sharing - Perform other duties as assigned Qualifications: - Associate's degree in computer science, Information Technology, or related field
 - Minimum 1 year of related experience - Familiarity with natural language processing and generative AI concepts and tools - Foundational software engineering skills with exposure to building applications or services - Strong analytical and problem-solving skills - Good communication and interpersonal skills - Experience or exposure to working with cross-functional teams (engineering, data, and business) Preferred - Prior experience in the healthcare or other regulated industries #software Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. The base pay for this position is $61,300.00 – $122,700.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Information Risk & Quality Assurance DIVISION: ADC Diabetes Care LOCATION: United States of America : Remote ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Yes, 5 % of the Time MEDICAL SURVEILLANCE: No SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

Role Description Carrot Fertility is hiring an Applied AI Engineer to join our Enterprise Technology team. You will design, build, and ship production-grade AI and integration solutions that give internal teams reliable, structured access to Carrot's core product and operational data. This is a hands-on engineering role — you will own delivery end-to-end: from scoping and architecture through deployment, iteration, and measurable business impact. Your first project will be building the data access layer for Carrot's enterprise AI agent ecosystem — designing and deploying an MCP architecture that exposes structured, governed access to Carrot's core product and operational data. You will be embedded with internal teams across Operations, Business Systems, and Product — translating data access needs and workflow gaps into AI-powered solutions that create lasting operational leverage. What You'll Do - Embed directly with internal business teams to discover data access gaps and workflow pain points, prototype solutions rapidly, and own the full delivery lifecycle from scoping through production deployment. - Architect and build agentic AI systems that handle complex, multi-step business processes — producing reliable, deterministic, auditable outcomes even in high-stakes or regulated contexts. - Design systems with compliance and data governance baked in: HIPAA-compliant data handling, role-based access control, prompt hygiene, evaluation frameworks, and observability throughout. - Write high-quality, production-grade code alongside platform-based integrations. - Use Claude Code as your primary AI-assisted development environment. - Translate ambiguous business requirements into clean technical designs and communicate them clearly to both technical and non-technical stakeholders. - Define and instrument success metrics for each solution: time saved, error rates, SLA improvements, cost reduction, and user satisfaction. - Feed patterns, failure modes, and reusable frameworks back into a shared internal playbook to compound team velocity over time. - Lead enablement: run knowledge-transfer sessions and create documentation so business teams can understand, trust, and extend what you build. - Build and maintain MCP (Model Context Protocol) servers that expose Carrot's core product and operational data to AI tools and agents. - Develop deep familiarity with Carrot's application database schema. - Build Claude skills and plugins that business teams and AI agents can use, extend, and maintain. - Apply a design of least complexity principle to every build. Example Projects You Might Tackle - Application data access layer and AI agent enablement: Design and deploy a suite of MCP servers that expose structured, governed access to Carrot's core product and operational data. - AI-assisted intake and routing: Build an intelligent triage system that classifies inbound requests, summarizes context, and routes or drafts responses for internal operations and customer care teams. - Revenue and finance automation: Partner with RevOps and Finance to build automations that reduce manual data work, improve forecast accuracy, and surface insights faster. - RAG-powered knowledge assistant: Deploy a retrieval-augmented system that surfaces source-of-truth documentation, SOPs, and institutional knowledge. - Automated KPI dashboards: Instrument and visualize business impact across all active AI solutions. Qualifications - 6–10 years of software engineering experience with strong fundamentals in data structures, system design, SQL, and application integration. - Proven track record of shipping production software. - Highly proficient with Claude Code. - Hands-on experience building and deploying agentic AI systems. - Programming fluency in Python and TypeScript/JavaScript; comfort with Ruby a plus. - Experience with Workato or a similar iPaas platform. - Background in enterprise applications such as Salesforce or NetSuite. - Strong command of SQL and data modeling. - Fluency with REST APIs, OAuth2, webhooks, pagination, rate limiting, and error handling. - Strong instincts for security, data privacy, and compliance. - Exceptional communication skills. - Comfort with ambiguity and a bias toward action. - Ability to develop working familiarity with an existing application codebase and database schema. - Experience building MCP servers or equivalent tool/API integration layers for AI systems. - Commitment to designing for maintainability and least complexity. Nice to Have - Experience in healthcare, health tech, or other regulated environments. - Experience with event-driven architecture, message queues, or stream processing. - Knowledge of AI observability and evaluation frameworks. - Experience with vector databases, semantic search, or embedding pipelines. - Prior experience in a Business Systems, IT engineering, or embedded engineering context. - Experience building Claude skills, plugins, or custom prompt libraries for internal business use. - Familiarity with enterprise AI assistant or knowledge management platforms. Compensation Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The starting base salary for this position will range from $165,000.00 - $200,000.00. Fraud and Security Notice Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com.