• Work on meaningful, high-impact problems alongside experts in AI, data, and cybersecurity. • Shape systems that operate at real scale in a fast-moving threat landscape.

Role Description Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves: - Building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. - Creating challenging tasks and evaluation criteria within realistic simulated environments: - Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history. - Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent. - Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient. - Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust. What this is NOT: - Not data labeling. - Not prompt engineering. - Not writing code from scratch - the agent writes most of the code; you guide and evaluate. Qualifications - 5+ years in software development. - Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis. - Experience writing tests (functional, integration). - English proficiency - B2+. Requirements Why this is hard: - Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. - You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. - Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds. Benefits - Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid. - Effort estimate: Tasks for this project are estimated to take 20 hours to complete, depending on complexity. - This is an estimate and not a schedule requirement; you choose when and how to work. - Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. - Compensation: Up to $40/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.

Role Description We are looking for a Senior AI Engineer to join our team and help design, build, and productionize AI- and agentic-powered solutions that create measurable business value. This role is ideal for a hands-on engineer with experience in applied AI, generative AI, cloud-native development, data integration, AI enablement, and enterprise software delivery. As a Senior AI Engineer, you will work closely with Data, Architecture, Platform, Security, and business stakeholders to transform AI opportunities into scalable, reliable, and responsible solutions. You will focus on building practical AI capabilities, enabling teams to adopt AI effectively, creating reusable engineering patterns, and helping the organization move from experimentation to value realization. This is a hands-on technical role with strong delivery ownership. The ideal candidate is comfortable building prototypes, evaluating commercial and open-source AI models, evolving solutions into production-grade systems, and establishing engineering best practices for AI adoption across teams. What You'll Get to Do - AI Solution Development - Design, develop, test, and deploy AI-powered applications, services, APIs, and integrations. - Build solutions using large language models (LLMs), embedding models, vector search, retrieval-augmented generation (RAG), prompt engineering, agentic workflows, and AI orchestration patterns. - Translate business and product requirements into practical AI solution designs and production-ready software. - Develop reusable components, accelerators, templates, and reference implementations for AI use cases. - Partner with application engineering teams to integrate AI capabilities into existing products, workflows, and platforms. - Evaluate commercial, open-source, and hybrid AI models to determine the best solution for business needs. - AI Enablement & Value Realization - Identify, shape, and deliver AI use cases that create measurable business, operational, customer, and employee value. - Partner with stakeholders to define success measures for AI initiatives, including productivity, automation, quality, cost reduction, adoption, and user experience. - Support teams in moving AI initiatives from proof of concept to scalable production solutions. - Build reusable AI enablement assets including starter kits, reference architectures, coding patterns, prompt libraries, evaluation templates, and implementation playbooks. - Provide hands-on guidance to product and engineering teams adopting AI capabilities. - Assess feasibility, implementation effort, business value, and complexity for proposed AI opportunities. - Contribute to AI intake, prioritization, and value tracking processes. - Measure post-launch solution performance and continuously improve AI capabilities based on business outcomes and customer feedback. - Agentic Workflows & AI Orchestration - Design and build agentic workflows capable of reasoning, retrieving information, calling tools, executing business logic, and supporting human-in-the-loop decision making. - Develop orchestration patterns for multi-step AI workflows, planning, memory, retrieval, tool usage, and task execution. - Integrate AI agents with enterprise APIs, internal systems, workflow platforms, and business applications. - Implement guardrails, permissions, audit trails, error handling, approval workflows, and fallback mechanisms. - Develop solutions using frameworks such as Semantic Kernel, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies. - Monitor and continuously improve agent performance through evaluation frameworks, telemetry, user feedback, and business outcomes. - Production Engineering, Security & Governance - Apply software engineering best practices including clean code, automated testing, CI/CD, observability, and secure development. - Deploy and operate AI solutions within cloud-native environments. - Monitor AI application performance, reliability, usage, costs, and quality. - Troubleshoot production issues related to AI services, models, integrations, orchestration, and infrastructure. - Implement monitoring for model outputs, retrieval quality, prompt performance, latency, token usage, and user feedback. - Partner with Security, Legal, Risk, and Governance teams to ensure AI solutions meet enterprise standards. - Promote responsible AI practices by implementing controls for privacy, security, auditability, human oversight, and data protection. - Identify and mitigate risks related to hallucinations, bias, misuse, data leakage, explainability, and unsafe agent behavior. - Technical Leadership & Collaboration - Provide technical guidance to engineers and delivery teams working on AI initiatives. - Lead design discussions and contribute to broader architecture decisions. - Stay current on emerging AI technologies, frameworks, and engineering best practices. - Communicate technical concepts clearly to both technical and non-technical stakeholders. - Help build organizational AI knowledge by sharing reusable assets, implementation guidance, and lessons learned. Qualifications - 6+ years of experience in software engineering, machine learning engineering, data engineering, or related technical roles. - 2+ years of hands-on experience building AI, machine learning, automation, or intelligent workflow solutions. - Strong programming experience in Python and at least one additional language such as Java, C#, TypeScript, or Go. - Hands-on experience with generative AI, large language models, prompt engineering, embeddings, vector search, retrieval-augmented generation, or AI orchestration. - Experience building production-grade APIs, services, integrations, and backend systems. - Experience with Azure, AWS, or another major cloud platform. - Strong understanding of software engineering fundamentals including system design, testing, CI/CD, monitoring, and operational support. - Experience working with structured and unstructured data, data pipelines, APIs, and enterprise data sources. - Ability to evaluate trade-offs across accuracy, performance, scalability, privacy, security, maintainability, cost, and business value. - Ability to connect technical delivery to measurable business outcomes. - Strong communication, collaboration, and problem-solving skills. What Would Make You Stand Out - Experience building enterprise generative AI solutions using frameworks such as LangChain, LlamaIndex, Hugging Face, Azure OpenAI, OpenAI APIs, Claude, AutoGen, CrewAI, or similar technologies. - Experience evaluating, fine-tuning, hosting, or deploying open-source models. - Experience with small language models, domain-specific models, embedding models, or hybrid model architectures. - Knowledge of agentic orchestration platforms and intelligent workflow automation. - Experience with vector databases or search platforms such as Azure AI Search, Pinecone, OpenSearch, or Elasticsearch. - Experience with LLM evaluation, prompt management, experiment tracking, or AI observability. - Experience designing secure enterprise AI solutions in SaaS, regulated, or large-scale environments. - Familiarity with responsible AI principles, AI governance, data privacy, and secure software development. - Experience mentoring engineers or leading technical delivery of complex AI initiatives. Benefits - Medical, dental, vision, and life insurance. - 401k plan (plus match). - Global Employee Stock Purchase Plan. - Unlimited Time Away From Work (in lieu of accrued vacation time). - 10 paid US holidays. - Up to 80 hours of paid sick time. - 17 weeks of paid parental leave, subject to the terms of the applicable policy or program. - Opportunities for community impact, including volunteer days and our charity, Dayforce Cares.

Requisition Number: 2363357 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 Senior AI/ML Engineer to join our dynamic Consumer Engineering team within the Chief Digital Office (CDO). In this role, you will be at the forefront of driving digital transformation, design, and deployment of scalable AI and machine learning models that directly elevate the consumer healthcare experience. You will collaborate with cross-functional teams to integrate advanced cognitive solutions, build secure and performant data pipelines, and automate infrastructure to ensure robust, enterprise-scale products. This is an exciting opportunity to leverage modern AI tools and frameworks to build products that make healthcare more accessible, personalized, and intuitive for millions of users. 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: - Prioritize and execute tasks in the software development life cycle (SDLC) for AI/ML tools and applications - Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI - Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement - Develop tools, pipelines, and applications by producing clean, efficient, and scalable code in Python, Core Java, or Scala - Automate infrastructure provisioning and development operations through appropriate scripting and tools (e.g., Terraform) - Review, debug, and optimize code to maintain the highest standards of software quality, security, and performance - Perform validation, performance, and verification testing on deep learning and machine learning models - Evaluate emerging trends and research in artificial intelligence and machine learning to inform solution design and strategic innovation - Document development phases, architectures, and monitor deployed AI systems to ensure enterprise-scale reliability 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 4+ years of equivalent software engineering or data science experience in lieu of a degree - 5+ years of software development experience with proficiency in Python, Core Java, or Scala - 3+ years of experience designing, building, and deploying AI/ML models or pipelines into production environments - 3+ years of experience with cloud platforms (Azure or AWS) and container orchestration using Kubernetes - 2+ years of experience in data engineering (e.g., GraphQL, database design, and data pipeline construction) - Experience with infrastructure automation using tools such as Terraform - Experience utilizing version control systems (e.g., GitHub) for professional team collaboration Preferred Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field - Experience working with large-scale datasets, data warehousing, and distributed query engines - Experience establishing continuous integration and continuous deployment (CI/CD) pipelines for ML models (MLOps) - Knowledge of modern Generative AI, Large Language Models (LLMs), and prompt engineering best practices - Proven solid analytical, communication, and collaboration skills to bridge technical concepts with business requirements *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. 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