Role Description Appfire’s AI Automation team builds intelligent workflows and internal apps supporting 300+ SaaS and cloud platforms across its global workforce. We are seeking a highly skilled AI Automation Engineer to own automation, system integrations, and data synchronisation across critical corporate systems. This role requires solid software engineering discipline, maintaining code repositories, and using AI coding assistants, AI agents, and MCP services to accelerate IT innovation. The ideal candidate enjoys experimenting with modern technologies and improving operations. - Design, build, and maintain AI-powered automations, internal tools, and integrations across corporate SaaS and cloud platforms. - Develop scripts, utilities, APIs, and lightweight applications assisted by AI tools. - Use AI coding assistants, AI agents, and MCP services to accelerate software development, automation delivery, and IT process innovation. - Build automation workflows for user onboarding, offboarding, lifecycle management, role-based access, and data synchronisation. - Build, maintain, and scale workflow automations using tools such as n8n or equivalent platforms, connecting SaaS applications, APIs, AI services, and internal systems to automate repeatable business and IT processes. - Implement and maintain integrations using REST APIs, webhooks, event-driven workflows, and serverless cloud services. - Build AI-assisted utilities and workflows that help IT teams and business stakeholders improve speed, accuracy, and operational visibility. - Identify opportunities where AI, LLMs, and workflow automation can reduce manual work, improve data quality, and increase productivity. - Create dashboards, reports, and operational insights by connecting data from different platforms through APIs and automation workflows. - Work closely with IT specialists, DevOps engineers, security, finance, and business teams to understand needs and deliver scalable automation solutions. - Explore emerging AI tools, automation frameworks, modern engineering practices, and new technologies; and help drive their adoption across IT. Qualifications - 5–7+ years of experience in Automation Engineering, Software Engineering, DevOps, SaaS Operations, IT Operations, or equivalent. - Strong scripting and automation experience using Python, PowerShell, Bash, JavaScript, or similar languages. - Experience building scripts, utilities, APIs, lightweight applications, and integrations with support from AI coding assistants. - Hands-on experience using AI tools such as OpenAI, Gemini, GitHub Copilot, Cursor, Claude, or similar to accelerate development, analysis, and problem-solving. - Familiarity with AI agents, MCP services, prompt engineering, and LLM-based automation patterns. - Experience building workflow automations using tools such as n8n, Zapier, Make, Workato, or equivalent platforms. - Experience designing, consuming, and troubleshooting REST APIs, OAuth-based integrations, webhooks, and event-driven workflows. - Hands-on experience with cloud platforms such as AWS, GCP, or Azure, including serverless services and cloud-based automation. - Excellent documentation, communication, and cross-functional collaboration skills. Benefits - Contract of Employment (indefinite). - Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth. - 26 paid vacation days annually, regardless of tenure, 12 Wellness Days (1 day per month, non-transferable), 24 hours of paid volunteer time to engage in meaningful activities outside of work. - Fully covered Luxmed private healthcare plan. You can extend coverage to your partner or opt for additional upgrades tailored to your needs. Life insurance provided by UNUM and fully paid by Appfire. - MyBenefit Platform - 150 PLN per month to spend on a Multisport card or on a variety of experiences such as shopping, restaurants, and entertainment. - Home Office Allowance - 200 PLN net per month added to your salary to support your electricity and internet costs while working remotely. - Lunch Card - 300 PLN monthly for groceries or dining out, available via a virtual pre-paid Pluxee card.

Title: Senior AI, ML Engineer Requisition number: 2373067 Job category: Technology Primary location: Eden Prairie, MN Overtime status: Exempt Travel: No 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. 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). 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, 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: - BS in Computer Science, Engineering, or related technical field (or equivalent experience) - 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 - Should have experience of AI/ML projects deployed in Production - Required Qualification: Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status). Preferred Qualifications: - Certifications in AI/ML or related technologies - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - Knowledge of UAIS and MLRB - Familiarity with cloud platforms (Azure, AWS, Google Cloud) *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 - $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.

Title: Vision AI Engineer - 67516 Location: United States Location: Remote -, Kentucky, United States Job ID: R0134963 Date Posted: Jul 1, 2026 Company Name: Hitachi Digital Services LLC Job Schedule: Full time Remote: Yes Job Description: Back to Search Results Previous Opportunity Next Opportunity Careers Home > Job Search Results > Vision AI Engineer - 67516 Vision AI Engineer - 67516 Location: Remote -, Kentucky, United States Job ID: R0134963 Date Posted: Jun 25, 2026 Company Name: Hitachi Digital Services LLC Profession (Job Category): IT, Telecom & Internet Job Type (Experience Level): Entry Level Job Schedule: Full time Remote: Yes Share: mail Apply Now Apply Now (Hitachi Employees) HiNext Access Required Save Job Saved Job Description: Function IoT Our Company We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job description Meet Our Team At Hitachi Digital Services, our Software Engineering team develops innovative, scalable, and high-quality software solutions that power critical business operations and customer-facing products. We leverage modern development practices, emerging technologies, and collaborative engineering approaches to build software platforms and applications that drive digital transformation. As an Entry-Level Software Development Engineer, you'll work alongside experienced engineers and architects while building a strong foundation in software design, development, testing, and deployment. What You'll Be Doing - Participate in the design, development, testing, and maintenance of software applications and platform solutions. - Collaborate with senior engineers and stakeholders to gather and analyze business and technical requirements. - Develop software components using programming, scripting, and database technologies. - Support software implementation activities, including coding, debugging, testing, and deployment. - Assist in analyzing software requirements, system functionality, and interactions between hardware and software components. - Contribute to software enhancement initiatives by implementing new features and resolving defects. - Participate in code reviews and follow established coding standards and software development best practices. - Support software testing activities, including unit testing, integration testing, and defect resolution. - Maintain accurate technical documentation for software functionality, processes, and system changes. - Work with source control systems, build tools, and development environments to support software delivery. - Respond to scope changes, troubleshoot issues, and support continuous improvement efforts throughout the software lifecycle. - Learn and apply modern software engineering methodologies, tools, and development frameworks. What You'll Bring to the Team - Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field. - Foundational knowledge of software development principles, data structures, algorithms, and object-oriented programming concepts. - Familiarity with one or more programming languages such as Java, C#, C++, Python, JavaScript, or similar technologies. - Basic understanding of software development lifecycle (SDLC) methodologies and development best practices. - Exposure to database concepts, SQL, and data management principles. - Understanding of software testing concepts, debugging techniques, and quality assurance practices. - Knowledge of version control systems such as Git or similar source control platforms. - Strong analytical and problem-solving skills with attention to detail. - Ability to communicate technical concepts clearly and work effectively within a collaborative team environment. - Eagerness to learn new technologies, tools, and development frameworks. Preferred Qualifications - Internship, academic project, or co-op experience in software development. - Familiarity with Agile or Scrum development methodologies. - Exposure to cloud platforms, APIs, web technologies, or modern application architectures. - Knowledge of software build, deployment, and CI/CD concepts. - Understanding of software engineering best practices, including code reviews, source control management, testing, and operational support. Career Level: Entry Professional Work Environment: Closely supervised with opportunities for learning, mentorship, and professional development while contributing to real-world software engineering projects. About us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Share: mail Apply Now

Role Description We are seeking an Engineering Subject Matter Expert to help develop next-generation AI systems by applying real-world engineering expertise to evaluate, create, and improve technical content. In this role, you will review engineering documentation, assess technical accuracy, and contribute practical engineering knowledge that enhances AI reasoning and performance. No prior AI experience is required—your engineering expertise is what matters most. Key Responsibilities - Technical Review & Analysis - Review and analyze engineering documentation, including technical reports, design documents, specifications, and project analyses. - Evaluate engineering submissions for technical accuracy, completeness, clarity, and adherence to industry best practices. - Provide detailed technical feedback, clarifications, and expert recommendations on complex engineering scenarios. - Content Development - Develop real-world engineering examples, case studies, and problem sets across various engineering disciplines. - Create structured technical explanations to help improve AI understanding of practical engineering concepts. - Ensure all technical content is accurate, well-organized, and aligned with engineering principles. - AI Model Evaluation - Assess AI-generated engineering responses for correctness, logical reasoning, and technical rigor. - Identify errors, inconsistencies, or gaps in engineering outputs and provide actionable feedback to improve model performance. - Contribute to the development of high-quality engineering datasets for AI training and evaluation. - Collaboration & Process Improvement - Work closely with project teams to ensure deliverables align with project milestones and quality standards. - Share industry best practices and technical insights to enhance project methodologies. - Collaborate effectively in a remote environment while maintaining high-quality documentation and deliverables. Qualifications - Bachelor's, Master's, or PhD in Mechanical, Civil, Electrical, Chemical, Industrial, Aerospace, Electronics, Manufacturing, or any other Engineering discipline. - Experience preparing technical reports, engineering documentation, design specifications, or project analyses. - Strong analytical and problem-solving skills with attention to technical detail. - Excellent written and verbal communication skills with the ability to explain complex engineering concepts clearly. - Ability to work independently and manage deliverables in a remote work environment. Requirements - Experience working on multidisciplinary or cross-functional engineering projects. - Ability to communicate technical concepts effectively to both technical and non-technical audiences. - Familiarity with engineering standards, regulatory compliance, quality assurance, or industry best practices. - Experience reviewing engineering documentation or providing technical guidance. - Passion for innovation, technology, and engineering education. Must-Have Skills - Engineering Documentation - Technical Analysis - Technical Report Writing - Problem Solving - Engineering Design Review Good-to-Have Skills - Quality Assurance - Regulatory Compliance - Technical Documentation - Cross-functional Collaboration - Engineering Standards - Project Analysis - Design Documentation - Research & Technical Writing