Job Title: Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for model deployments, experimentation cycles, and sprint schedules) About the Role: Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications. This role requires bridging software engineering with applied machine learning, ensuring that models are integrated into production systems that are scalable, reliable, and user-friendly. The Full-Stack AI Engineer combines back-end services, front-end interfaces, and machine learning pipelines to deliver practical, business-driven AI solutions. Responsibilities: AI Model Integration: - Deploy pre-trained and fine-tuned ML/LLM models (OpenAI, Hugging Face, TensorFlow, PyTorch). - Wrap models in APIs (FastAPI, Flask, Node.js) for scalable inference. - Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG). Data Engineering & Pipelines: - Build ETL pipelines for ingesting, cleaning, and transforming text, image, or structured data. - Automate data labeling, preprocessing, and versioning with Airflow, Prefect, or Dagster. - Store and manage datasets in cloud warehouses (Snowflake, BigQuery, Redshift). Application Development (Full-Stack): - Build front-end UIs in React, Next.js, or Vue to surface AI-powered features (chatbots, dashboards, analytics). - Design back-end services and microservices to connect models to business logic. - Ensure responsive, intuitive, and secure interfaces for end users. Infrastructure & Deployment: - Containerize ML services with Docker and deploy to Kubernetes clusters. - Automate CI/CD pipelines for model updates and application releases. - Monitor latency, cost, and model drift with MLflow, Weights & Biases, or custom dashboards. Security & Compliance: - Ensure AI systems comply with data privacy standards (GDPR, HIPAA, SOC 2). - Implement rate limiting, access control, and secure API endpoints. Collaboration & Iteration: - Work with data scientists to productionize prototypes. - Partner with product teams to scope AI features aligned with business needs. - Document systems for reproducibility and knowledge transfer. What Makes You a Perfect Fit: - Strong coder with a foundation in both full-stack development and applied ML/AI. - Comfortable building prototypes and scaling them to production-grade systems. - Analytical problem solver who balances performance, cost, and usability. - Curious and adaptable, staying current with emerging AI/LLM tools and frameworks. Required Experience & Skills (Minimum): - 3+ years in software engineering with exposure to AI/ML. - Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js). - Experience deploying ML models into production systems. - Strong SQL and experience with cloud data warehouses. Ideal Experience & Skills: - Built and scaled AI-powered SaaS products. - Experience with LLM fine-tuning, embeddings, and RAG pipelines. - Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker). - Familiarity with microservices, serverless architectures, and cost-optimized inference. What Does a Typical Day Look Like? A Full-Stack AI Engineer’s day revolves around connecting models to real-world applications. You will: - Review and refine model APIs, testing latency and accuracy. - Write front-end code to surface AI features in user-friendly interfaces. - Maintain pipelines that clean and prepare new datasets for training or fine-tuning. - Deploy updates through CI/CD pipelines, monitoring cost and performance post-release. - Collaborate with product and data science teams to prioritize AI features that solve real user problems. - Document workflows and results so solutions are repeatable and scalable. In essence: you ensure AI moves from prototype to production — reliable, compliant, and impactful. Key Metrics for Success (KPIs): - Successful deployment of AI features to production on schedule. - Application uptime ≥ 99.9% and inference latency < 500ms for key endpoints. - Reduction in manual workflows replaced by AI features. - Model performance tracked and stable (accuracy, drift, false positives/negatives). - Positive user adoption and satisfaction of AI-driven features. Interview Process: - Initial Phone Screen - Video Interview with Pavago Recruiter - Technical Assessment (e.g., deploy a small ML model with API endpoints and basic front-end integration) - Client Interview(s) with Engineering Team - Offer & Background Verification

Who we are AvantStay delivers world class, authentic, tech-enabled short-term rental (“STR”) group experiences targeted at the millennial generation. We are venture funded and growing rapidly in the explosive $100+ billion dollar STR industry. We deliver a customized end-to-end experience that is tailored just for groups and powered with technology at every layer. What we are looking for We are seeking a Staff Engineer who will own AI automation across our business - building autonomous systems that monitor data, take action, involve humans when needed, and learn from feedback. We need someone who moves fluently between business and technology. On one side, that means going deep on how work actually gets done, spotting where manual effort burns time, introduces error, or simply doesn't scale. On the other hand, it means knowing the technical landscape well enough to translate those opportunities into systems that run in production: reliable, observable, and built to handle the messy edge cases that only show up in the real world. Some workflows are big (automating an entire listings lifecycle), some are small (a bot that flags pricing anomalies). We need someone who ships both. When you join, you'll work with a small, senior engineering team that has already shipped multiple AI agents to production - including lead qualification, data querying, revenue automation, and infrastructure monitoring systems. Our stack includes Scala and TypeScript across the backend, PostgreSQL, ClickHouse, Kafka, Kubernetes on AWS, and deep integrations with Claude, OpenAI, Pi, LangGraph, MCP and other tools for AI system management and integration. You won't be starting from scratch - you'll be accelerating what's already working. As a Staff Engineer, you'll report directly to engineering leadership, working alongside a team of ~30 engineers across backend, frontend, data, and DevSecOps. Our team is fully remote, flat, and talent-dense. We move fast and expect you to own outcomes, not just write code. What you'll do - Design and build autonomous agentic loops across business domains - monitoring listings performance, qualifying leads, resolving customer tickets, optimizing SEO content, and many more we haven't built yet. - Own the full lifecycle: understand the business workflow, architect the agent, ship to production, monitor performance, iterate based on feedback. - Connect agents to our data infrastructure - PostgreSQL, ClickHouse, Kafka event streams, GraphQL APIs, MCPs, third-party integrations - so they can observe, reason, and act. - Build human-in-the-loop escalation patterns where full autonomy isn't appropriate. - Work directly with business stakeholders (revenue management, marketing, CX, sales) to identify automation opportunities and translate them into agent architectures. - Untangle complexity in our existing systems to make them agent-accessible - wrapping services, building APIs for agents, MCP servers, creating clean data interfaces, and transforming existing ones. - Establish patterns and tooling that help the broader engineering team deploy agents faster. Your work should multiply others, not just your own output. What you'll bring - Deep understanding of agentic workflows and the current tooling landscape - orchestration, evals, agent SDKs (Claude Agent SDK, OpenAI Agents API, Vercel, PI, LangGraph), tool-use patterns, multi-step reasoning, structured outputs, and RAGs. - Experience shipping production AI/LLM agent systems - not prototypes, not chatbots. Autonomous agents that take real actions in real systems. - Strong software engineering fundamentals - you can navigate databases, event systems (Kafka), API protocols (GraphQL, REST), containers (Kubernetes), and cloud infrastructure (AWS). Our systems are complex, and you need to be able to work through that complexity. - Our stack includes TypeScript and Scala (functional, Typelevel), Python - comfort reading and contributing to typed functional code is a plus, but deep Scala expertise is not required. - Product instincts - you can talk to a revenue manager or sales, understand their workflow, and figure out what to automate without being handed a spec. - Bias toward shipping. We value working software over documents. - Fluency in English, both written and spoken, for effective communication in a distributed team. We value agency over experience. If you don't check every box but bring curiosity, drive, and a clear sense of purpose, we want to hear from you. Nice to Have - Background in property management, hospitality, or marketplace platforms. - Experience with functional programming (Scala, Haskell, Clojure, Elixir). - Experience with distributed systems, Clickhouse and Postgres. This Role Isn't for You If - You need detailed tickets and guidance for every task. We need self-directed engineers who take a business problem and figure out the architecture. - You're looking for a research or advisory position. We need a builder who ships. - You want a temporary or exploratory role. This is a long-term commitment to owning production systems. Perks and Benefits - Generous paid time off including company holidays - 100% remote - work from anywhere in the world - Complimentary and discounted stays at AvantStay properties - Periodic team gatherings - Budget for Greenfield AI Tooling No soliciting from staffing agencies. Thank you!

• Lead the technical and strategic alignment of Arrow’s externally available platforms, primarily ArrowSphere-aaS and Arrow AI 360, to accelerate commercial growth • Drive go-to-market acceleration by engaging with Telcos, MSPs, Distributors, and Digital Service Providers to increase platform adoption and expand pipeline • Deliver high-impact executive workshops, demos, and transformation sessions that position ArrowSphere as a leading marketplace platform and AI 360 as an AI expense and performance management solution • Partner with regional leadership to support pipeline development, forecasting, and long-term planning across strategic accounts and partners • Lead strategic transformation programs with existing ArrowSphere customers, enabling adoption of new platform capabilities and scaling their cloud business • Collaborate cross-functionally with marketing, product, and engineering teams to design and execute go-to-market motions and accelerate platform evolution • Contribute to platform strategy, including partner segmentation, acquisition, and revenue growth initiatives • Provide market and partner feedback to help shape product roadmap and platform innovation, ensuring alignment with customer needs and market trends • Influence and support the AI 360 go-to-market and product strategy, including ecosystem development, partner prioritization, and use case expansion • Develop and scale frameworks, playbooks, and enablement materials that drive partner maturity and accelerate sales cycles • Act as a thought leader and evangelist, representing Arrow at industry events, executive forums, and partner engagements • Serve as a trusted advisor to partners navigating cloud modernization, marketplace adoption, and AI-driven transformation initiatives • Align platform capabilities with partner and vendor strategies to drive measurable business outcomes and growth

Requisition Number: 2349012 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. The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We're Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum. The Optum Technology Chief Digital Office (CDO) Leadership team is transforming Optum to be an industry-leading Consumer brand. We are on a journey towards delivering a best-in-the-industry consumer experience to our patients and providers by delivering personalized digital solutions that support our consumers throughout their healthcare journeys. This team is transforming to meet the moment - to begin radically altering the way our customers engage with the healthcare system using modern tech to solve some of the most complex problems experienced along the way. Serving all of UnitedHealth Group's digital technology needs, the CDO team is responsible for driving outcomes across nearly 30 million+ human lives with UnitedHealthcare insurance, a number which puts UHC at the top of the pack as the largest managed care provider in the United States. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, develop, and productionize machine learning and generative AI solutions supporting HealthSafe use cases, including conversational AI, clinical/administrative decision support, and longitudinal health data experiences - Build and maintain end to end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, and monitoring) in cloud native environments - Develop scalable inference services and APIs to integrate ML models into HealthSafe platforms and downstream consumer or provider applications - Apply NLP, LLMs, embeddings, and deep learning techniques to enable intelligent health data retrieval, summarization, and conversational workflows - Collaborate closely with product, engineering, data, clinical, and security stakeholders to translate HealthSafe requirements into robust AI/ML solutions - Ensure model reliability, performance, explainability, and safety, especially for regulated, member impacting healthcare workflows - Implement Responsible AI (RAI) practices, including bias evaluation, data privacy safeguards, auditability, and governance aligned with enterprise standards - Optimize models and pipelines for cost, latency, and scale in high volume, production healthcare systems - Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable frameworks across HealthSafe teams 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 with 5+ years of experience or MS and 3+ years in Computer Science or related field - 3+ years of hands on experience designing and delivering production grade AI/ML systems in enterprise environments - Experience building NLP and LLM powered systems, including embeddings, semantic search, intent classification, and text summarization - Hands on experience deploying models using cloud platforms and MLOps practices (CI/CD, monitoring, model versioning) - Solid foundation in machine learning, statistics, probability, optimization, and experimental design Preferred Qualifications: - Experience contributing to or leading cross functional AI initiatives in large, distributed teams - Familiarity with healthcare data standards and ecosystems (e.g., FHIR, longitudinal health records, identity and consent flows) - Demonstrated ability to work on regulated, safety critical systems, balancing innovation with reliability, privacy, and compliance - Demonstrated solid communication skills with the ability to explain complex AI/ML concepts to non technical stakeholders *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 $91,700 to $163,700 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.