• Design and implement AI agents and multi-agent systems for real-world business use cases. • Build and maintain agentic workflows, including orchestration, tool usage, and inter-agent communication. • Develop integrations between agents and enterprise systems (APIs, databases, SaaS platforms). • Work with semantic layers and contextual data models to improve agent reasoning and performance. • Implement and manage MCP-like architectures, ensuring proper context sharing and tool connectivity. • Collaborate with data and platform teams to leverage Databricks and modern data stacks. • Ensure solutions are production-ready, scalable, and aligned with governance and security requirements. • Translate business problems into agent-based AI solutions with clear technical execution paths. • Stay up to date with the latest advancements in agentic AI frameworks and LLM ecosystems.

• Desenvolver aplicações web com **React (frontend)** e **Node.js (backend)** • Projetar e implementar **AI Agents** para automação e apoio à decisão • Estruturar fluxos de agentes (memória, ferramentas e orquestração) com **LangChain, LangGraph ou similares** • Criar **MVPs e POCs** com rapidez, validando hipóteses de negócio • Implementar automações e integrações (ex: **n8n**, APIs) • Atuar de forma end-to-end, do protótipo à versão utilizável • **Utilizar IA (Claude**, Codex, etc.) para **acelerar desenvolvimento **

Requisition Number: 2348445 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. About the Team & Opportunity We are transforming how clinical teams operate by embedding AI directly into Utilization Management (UM) and Care Management (CM) workflows, where technology has a meaningful impact on patient care. Our team works closely with clinical partners, business stakeholders, and operations teams to identify real workflow challenges and deliver practical AI solutions that improve efficiency, quality, and the overall clinician experience. This is a hands on engineering role, not a research or experimental AI position. Our AI/ML solutions are actively deployed within production clinical workflows, helping nurses, care managers, and clinicians reduce manual effort and focus more time on patient care. The team works on capabilities such as intelligent case summarization, workflow automation, and AI assisted decision support - always with an emphasis on real world applicability and measurable outcomes. As an AI/ML Engineer, you will contribute to the design, development, and implementation of AI/ML solutions that integrate seamlessly into existing platforms and workflows. You will collaborate closely with senior engineers, product partners, and clinical stakeholders to translate business problems into scalable technical solutions, while building solid expertise in applying AI responsibly within a regulated healthcare environment. If you are passionate about applying AI to solve practical, high impact clinical problems, enjoy working in a collaborative, cross functional environment, and want to grow your skills while delivering solutions that directly improve how care is delivered, this role offers an exciting opportunity to do so. 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, test, and deploy full stack applications using React, NextJS, PostgreSQL, and Python - Build and integrate AI powered solutions, including agentic workflows using frameworks such as CrewAI, Agno, or Google ADK - Apply AI Dojo training to implement responsible, scalable AI patterns and solutions - Translate product and business requirements into scalable, high quality technical solutions - Develop and maintain backend services, APIs, and data models supporting AI and non AI workloads - Collaborate closely with product, architecture, data, and DevOps teams across the SDLC - Contribute to design reviews, code reviews, and technical decision making - Support delivery of AI 10.0 and ECS Big Bet initiatives through hands on engineering execution - Troubleshoot issues, optimize systems, and continuously improve performance, reliability, and maintainability 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: - Bachelor's degree in Computer Science or a related field or 2+ years of equivalent practical experience - 3+ years of professional software engineering experience in full stack application development - 2+ years of solid hands on experience with React, Next.js, PostgreSQL, and Python - 2+ years of experience building and integrating AI powered solutions into production applications (including LLM integrations, prompting, and APIs) - 2+ years of exposure to agentic AI frameworks such as CrewAI, Agno, Google ADK, or similar AI orchestration frameworks - 2+ years of experience translating business and product requirements into scalable, high quality technical solutions - 2+ years of experience collaborating cross functionally with product, architecture, data, QA, and DevOps teams Preferred Qualifications: - Solid understanding of SDLC principles, code quality, performance optimization, and security best practices - Demonstrated ability to work independently on complex problems, contribute to team solutions, and deliver against committed timelines *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 $98,500 to $176,000 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. #OptumTechPJ

Roboyo is a category shaper in Agentic Automation. We help leading brands embed autonomous, AI‑powered agents into their workflows, processes, products and services so they can scale faster and operate smarter. Built on a strong automation heritage, we focus on seamless integration of AI into enterprise level organization, not just proving concepts, but owning outcomes and driving value in every industry we are present. At Roboyo, you’ll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence. We are seeking a highly experienced Senior AI Engineer to join our team supporting our enterprise clients. In this role, you will design, develop, and maintain enterprise-grade AI solutions built on cutting-edge LLM platforms, conversational AI frameworks, and cloud-based data ecosystems. You will be a key contributor to AI-powered product development and work closely with cross-functional stakeholders to deliver impactful, scalable solutions. Responsibilites AI Platform Development & Integration - Architect, deploy, and manage AI-powered conversational platforms using LibreChat as the primary open-source framework. - Integrate and configure multiple LLM providers including Google Gemini, OpenAI, and other foundation models within enterprise environments. - Build and maintain AI pipelines including retrieval-augmented generation (RAG), prompt chaining, and agentic workflows. - Design and implement O365 Connectors to enable seamless AI integration with Microsoft Teams, Outlook, SharePoint, and related enterprise tools. - Build a scalable platform leveraging MongoDB, Vector DB and K8S/GKE clusters LLM Orchestration & Customization - Develop and fine-tune prompt engineering strategies, system instructions, and tool/function calling configurations across different LLM providers. - Build multi-agent workflows using frameworks such as LangChain, LlamaIndex, AutoGen, or similar orchestration libraries. - Evaluate model performance, hallucination rates, and benchmark LLMs for domain-specific use cases within the hospitality and gaming industry. System Architecture & DevOps - Design secure, scalable AI architecture aligned with enterprise security policies and compliance requirements. - Containerize and deploy AI services using Docker and Kubernetes; manage CI/CD pipelines for model serving and application delivery. - Implement monitoring, observability, and logging for AI systems in production environments. Collaboration & Stakeholder Management - Work closely with business analysts, product owners, and client stakeholders to translate requirements into technical solutions. - Produce and maintain comprehensive technical documentation including architecture diagrams, API specs, and runbooks. - Mentor junior engineers and conduct code reviews; champion best practices in AI engineering across the team. Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical discipline. - 6–10 years of overall IT experience with at least 5+ years in AI/ML engineering, NLP, or LLM-focused development. - Hands-on experience deploying, customizing, and administering LibreChat for enterprise use; familiarity with LibreChat configuration, plugin/tool integrations, and multi-provider LLM setup is a must - Practical experience implementing vector search using pgvector on PostgreSQL; understanding of embedding models, dimensionality, and retrieval strategies for RAG use cases - Experience building O365 connectors and integrations with Microsoft Teams, Outlook, and SharePoint; familiarity with Microsoft Graph API and Adaptive Cards - Experience integrating Google Gemini (via Vertex AI or API), OpenAI, and other foundation models; understanding of model versioning, token management, cost optimization, and safety guardrails. - Strong command of Python; secondary proficiency in JavaScript/TypeScript is preferred. - Demonstrated track record of delivering enterprise AI solutions in production environments. - Excellent communication skills with the ability to present technical concepts to non-technical stakeholders. Nice to have - Experience with other Vector DB platforms such as Pinecone, Weaviate, Qdrant, or Chroma. - Experience with MongoDB - Experience with Docker/ Kubernetes / GKE - Exposure to RPA tools or workflow automation platforms that complement AI pipelines. - Knowledge of hospitality or gaming domain - Experience with AI governance, responsible AI practices, and content safety frameworks. Benefits - 100% payroll + benefits by law - Work from home (Anywhere in México) - 30-day Christmas bonus - 16 vacation days - 1 economic day a year - Grocery coupons - Savings fund - Home office stipend - Major medical insurance - Life insurance - Training & certifications We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo.global/data-privacy/