Role Description We’re looking for an AI Engineer to help build the data and model foundations that make Modern Relay’s platform reliable in production. You’ll work across data pipelines, model development, and ML infrastructure, turning messy signals into structured knowledge and high-quality model behavior. This role is ideal for someone who enjoys shipping end-to-end systems, from schema design and data infrastructure to training/evaluating models and improving them with feedback loops. What You’ll Do - Design and build data pipelines that ingest, clean, and transform product and customer data into high-signal training and evaluation datasets - Own data infrastructure decisions (storage, orchestration, lineage, observability) to ensure reliability, scalability, and fast iteration - Develop and improve ML/AI systems that power agent's behavior in task-solving, including retrieval, ranking, classification, and structured extraction - Create and maintain schemas for agent memory, tool outputs, and conversation artifacts to make downstream modeling and analytics consistent - Build evaluation harnesses and metrics to measure model quality, regressions, and real-world performance (offline + online) - Work with knowledge representations (e.g., knowledge graphs) to connect entities, events, and business context for better reasoning and retrieval - Partner closely with Product and Engineering to integrate models into production workflows with clear SLAs and monitoring - Continuously improve feedback loops: labeling strategies, active learning, error analysis, and dataset/version management What Success Looks Like - Data pipelines and datasets are trustworthy, well-instrumented, and easy to iterate on as product needs evolve - Model performance improves measurably over time with clear evaluation methodology and fast debugging cycles - Agent outputs become more consistent and structured through strong schema design and robust post-processing/validation - Knowledge and retrieval systems reduce hallucinations and increase task completion rates in real customer workflows - Cross-functional teams can confidently ship AI improvements because quality, monitoring, and rollback paths are in place Qualifications - 0–6 years of experience in AI/ML engineering, data engineering, or a closely related role (we’re open to exceptional new grads with strong projects) - Strong fundamentals in data engineering: pipelines, data modeling, schema design, and data quality practices - Experience building or operating ML systems in production (training, evaluation, deployment, monitoring) or strong evidence you can ramp quickly - Comfort working across the stack: from raw data and infrastructure to model behavior and product integration - Familiarity with modern ML platforms and tooling (experiment tracking, dataset/versioning, orchestration, feature/data stores, model serving) - Understanding of information theory concepts (e.g., entropy, mutual information) and how they relate to signal, compression, and evaluation - Experience with knowledge graphs or structured knowledge representations is a plus - High ownership and a bias toward shipping: you can take ambiguous problems, propose a plan, and execute Key Skills - Data pipelines - Data engineering and data infrastructure - AI / artificial intelligence - Machine learning platforms and production ML - Model development, evaluation, and monitoring - Schema design and structured data systems - Knowledge graphs and information retrieval - Information theory fundamentals Why This Role - Build core AI infrastructure that directly impacts product reliability and customer outcomes - Work on real-world agent coordination problems where data quality, structure, and evaluation matter as much as models - High autonomy and ownership in a fast-moving team shipping at the frontier of applied AI - A chance to define how Modern Relay’s agents learn from data and improve over time

Requisition Number: 2357481 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. 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). If you are located in the EST time zone, you will have the flexibility to work remotely* as you take on some tough challenges. 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: - Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field - 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 - Experience with AI/ML projects deployed in Production Preferred Qualifications: - Certifications in AI/ML or related technologies - Familiarity with cloud platforms (Azure, AWS, Google Cloud) - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Proven knowledge of UAIS and MLRB *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 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. 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.

Role Description Profissional com experiência em desenvolvimento e arquitetura de soluções de Inteligência Artificial, com foco em Generative AI, automação de processos e criação de serviços escaláveis para plataformas globais. A atuação será em um programa modular, com forte colaboração entre times técnicos e de negócio, em modelo remoto. - Atuar no design e implementação de soluções GenAI para automação de processos internos e produtos voltados ao usuário final; - Desenvolver, testar e otimizar prompts para LLMs visando acurácia, confiabilidade e segurança; - Converter processos de negócio existentes em fluxos automatizados orientados por IA; - Colaborar com times de GenAI e serviços de segurança para identificar oportunidades de automação e evoluir capacidades de IA; - Construir pipelines de RAG e aplicações de IA baseada em agentes; - Prototipar, implantar e escalar modelos em produção integrados às plataformas e fluxos da organização; - Documentar boas práticas e contribuir para o compartilhamento interno de conhecimento em GenAI; - Apoiar iniciativas de capacitação interna sobre ferramentas e capacidades de GenAI. Qualifications - Experiência comprovada em engenharia de IA/ML com uso direto de Generative AI e LLMs; - Proficiência em Python e frameworks de ML como PyTorch e/ou TensorFlow; - Experiência prática com prompt engineering, fine-tuning, embeddings e bases vetoriais; - Conhecimento em serviços de segurança (autenticação, controle de acesso, WAF, IOC) e integração via APIs REST; - Sólidos fundamentos de Machine Learning, técnicas de NLP, arquiteturas de LLMs e integrações agente-a-agente; - Formação superior em Ciência da Computação, Data Science, Engenharia ou áreas correlatas. Requirements - Proficiência em Python e frameworks de ML como PyTorch e/ou TensorFlow; - Experiência prática com prompt engineering, fine-tuning, embeddings e bases vetoriais; - Conhecimento em serviços de segurança (autenticação, controle de acesso, WAF, IOC) e integração via APIs REST; - Sólidos fundamentos de Machine Learning, técnicas de NLP, arquiteturas de LLMs e integrações agente-a-agente; - Habilidade de comunicação e colaboração com públicos técnicos e não técnicos; - Formação superior em Ciência da Computação, Data Science, Engenharia ou áreas correlatas. Benefits - Goste de trabalhar em equipe e seja colaborativa em suas atribuições; - Tenha coragem para se desafiar e ir além, abraçando novas oportunidades de crescimento; - Transforme ideias em soluções criativas e busque qualidade em toda sua rotina; - Tenha habilidades de resolução de problemas; - Possua habilidade e se sinta confortável para trabalhar de forma independente e gerenciar o próprio tempo; - Tenha interesse em lidar com situações adversas e inovadoras no âmbito tecnológico.

DescriptionSilverfort is on a mission to bring identity security everywhere – to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that weren’t possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, Silverfort is uniquely positioned to lead the fast-growing identity security category. Joining Silverfort means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security. As a Senior Low-Level Software Engineer, you'll be a key part of the team building Silverfort's proprietary kernel driver and adapters, a critical component of our core solution. You'll contribute across the full development lifecycle: architecture and design, coding and implementation, and validation and deployment. Responsibilities - Develop the driver and adapter that integrates between the customer’s environment and the backbone of the product - Create and maintain low-level networking modules for Silverfort's authentication platform - Understand different authentication protocols - Participate in the entire development lifecycle, from design and implementation to testing and deployment. - Build enterprise-grade products in complex and large-scale environments - Provide scalable, maintainable, and working solutions for Silverfort’s customers - Working closely with product, support teams, and company stakeholders Requirements - 5+ years of experience in development for Windows platforms - Windows Kernel development experience - must - Bachelor’s degree in Computer Science or equivalent military experience - Knowledge of C/C++ and kernel development methods - Experience in WinAPI, Windows Internals, and Network Protocols - Knowledge in GO - advantage - Familiarity with WFP - an advantage - Strong problem-solving skills and the ability to work in a fast-paced environment