Role Description Make your impact within a growing Fintech Company. Customer Experience Operations at BILL handles 60K+ customer contacts per month across chat, phone, and email. We support SMB, mid-market, and enterprise customers with a mix of internal and BPO teams across four countries. We're standing up a new team inside CXO focused on building agentic AI systems that automate manual work, catch things before they fall through cracks, and give leaders visibility into their operations. The work isn't new. We've been building AI tools and delivering value ad hoc, but now it's our mandate. This is a founding team. You'd be shaping the architecture, the workflows, and the culture from the ground up. There's existing work to build on, but no inherited playbook to follow. You'll work directly with CARE leaders, QA, Advocacy, and WFM to identify what to automate and validate that it's working. In this role, you will: - Automate repetitive operational workflows: CES reporting, QA transcript analysis, knowledge article maintenance, SOP-driven case workflows. Deploy standardized automations across Slack and Salesforce at scale. - Flag stalled handoffs, aged cases, SLA breach risks, and duplicate cases before they become problems. Review DevRev/Cresta transcripts to ensure bots are behaving as expected. - Give leaders self-serve access to data and insights. Deliver automated weekly/monthly business intelligence on cadence (site health, volume, SLA, CES). Detect escalation patterns and repeat contacts that nobody is connecting the dots on. - Build memory architecture: bots that look at staffing, feedback, transcripts, and agent work together at scale. Know what happened last week and what's coming next. You will also: - Connect and deploy orchestration layers (MCP, custom connectors) to automate CX business workflows and productize internal tools. - Measure operational reliability and system accuracy to ensure business metrics are being achieved: contacts deflected, cost avoided, hours saved. Design escalation patterns so the system knows when to surface to a human. - Partner with the data team on structured data layers that keep AI outputs trustworthy. Productize what works so it scales across the org. Qualifications - Experience with Salesforce integrations or CX/support tooling (DevRev, Cresta, knowledge management systems). - Data modeling or analytics background (dbt, Redshift, Trino). - Experience building tools for non-technical end users. Requirements - Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. Benefits - 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP). - HSA & FSA accounts. - Life Insurance, Long & Short-term disability coverage. - Employee Assistance Program (EAP). - 11+ Observed holidays and wellness days and flexible time off. - Employee Stock Purchase Program with employee discounts. - Wellness & Fitness initiatives. - Employee recognition and referral programs. - And much more.

• Develop and fine-tune LLMs and NLP models using Hugging Face Transformers, OpenAI APIs, and LangChain. • Implement retrieval-augmented generation (RAG) for intelligent AI-driven question answering and chatbot applications. • Build and deploy AI models using FastAPI, Flask, and cloud-based inference engines (Azure ML, AWS SageMaker, GCP AI Platform). • Optimize embedding search and vector retrieval using FAISS, Pinecone, and ANN-based search algorithms. • Work on AI model deployment, API integration, and real-time AI application development in production environments.

Role Description We are seeking a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across our analytics and healthcare platforms. This is a hands-on full-stack engineering role focused on developing intelligent applications for Compass reporting and the Quality & Patient Safety (QPS) platform. The individual will be responsible for: - Building frontend experiences, backend services, AI/ML capabilities, and cloud-native data solutions that enable self-service analytics, operational insights, and quality improvement initiatives. - Enjoying the flexibility to work remotely from anywhere within the U.S. (Minneapolis or Washington, D.C. area requires in-office work a minimum of four days per week). Primary Responsibilities: - Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks. - Build scalable full-stack applications using React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL. - Develop intuitive user experiences, dashboards, reporting solutions, and AI-enabled workflows. - Build and enhance self-service analytics, reporting, and data exploration capabilities. - Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation. - Integrate applications with enterprise data platforms and cloud-native data ecosystems. - Design and implement microservices, APIs, data models, and event-driven architectures. - Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization. - Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions. - Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions. Qualifications - Bachelor’s in Computer Science, Engineering, AI/ML, Data Science, related field, or the equivalent experience. - 6+ years of hands-on software engineering experience building enterprise-scale applications. - 4+ years of hands-on experience in React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL. - 1+ years of experience in designing, developing, and deploying AI/ML and Generative AI solutions in production environments. - 2+ years of experience with LLMs, RAG architectures, vector databases, prompt engineering, AI agents, and AI application development. - 4+ years of experience building cloud-native applications on Azure, AWS, or GCP. - 3+ years of experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric. - 4+ years of experience with microservices, distributed systems, CI/CD, automated testing, observability, and software engineering best practices. - Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications - Experience in healthcare, analytics, quality, patient safety, or reporting domains. - Experience with Apache Superset, Power BI, embedded analytics, or self-service BI platforms. - Experience with LangChain, Semantic Kernel, OpenAI, Azure AI Services, or similar AI frameworks. - Experience leading technical initiatives and mentoring engineers. Requirements - *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Benefits - Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. - Comprehensive benefits package, incentive and recognition programs, equity stock purchase, and 401k contribution (all benefits are subject to eligibility requirements). - The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. 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.

Role Description Wir suchen einen Forward Deployed Engineer - AI (w/m/d). Diese Rolle ist besonders, weil wir eine BizTech-Beratung sind: - Du verstehst das Geschäft des Kunden und baust auch die Software. - Du bist verantwortlich für Deployments end-to-end, vom Discovery und Scoping über die Architektur bis hin zum Build und dem produktiven Rollout. - Wir arbeiten mit dem deutschen Mittelstand (KMU) und Großunternehmen zusammen, oft in regulierten Umgebungen mit strenger Datensouveränität. - Du baust AI-Systeme innerhalb der Realität von Legacy-Systemen und komplexen Prozessen. Qualifications - Solider Engineering-Hintergrund. - 2+ Jahre Erfahrung in Software Engineering oder ML. - Fließendes Deutsch und Englisch sind zwingend erforderlich. - Ein Abschluss in Informatik oder Ähnlichem ist von Vorteil, aber die Fähigkeit, neue Technologien schnell zu erlernen, ist wichtiger. - Kroatisch wäre das Sahnehäubchen. Requirements - Production-grade Python ist ein Muss. - Erfahrung in der Auslieferung von Software mit LLM- oder ML-Komponenten, wie RAG-Systemen oder Agenten. - Freude am direkten Kundenkontakt. - Ruhe bewahren in unklaren Situationen. - Reisebereitschaft (ca. 25 %). Benefits - Gehalt bis zu 90.000 € für eine Senior-Position. - Betriebliche Altersvorsorge (bAV). - Kindergartenzuschuss. - Flexible Arbeitszeiten. Company Description Wir sind ein kroatisch-deutsches BizTech-Consulting-Unternehmen mit starkem IT-Fokus und der Fähigkeit zur Implementierung und Erbringung von Managed Services. Die GmbH in München ist für die DACH-Region zuständig, aber nicht nur mit eigenen KollegInnen, sondern mit kroatischen Wurzeln und starken 400+ KollegInnen im Rücken.