About Us At Hiya, we're making calls safe, useful, and human again. Voice is the most human form of communication, yet it's become one of the least trusted. Spam, scams, and AI manipulation have eroded what was once a simple way to connect. Each month our AI voice technology analyzes 28+ billion calls, protecting over 550 million users and 800+ businesses worldwide. Partnering with a growing global network including, AT&T, Samsung, British Telecom EE, Rogers, MasOrange,Bell Canada, MasMovil, and Virgin Media O2, we're not just stopping bad actors, we're helping people feel good and confident about picking up the phone again. This is a pivotal moment for voice. As new threats and technologies accelerate, so does demand for trusted voice communication. Hiya is growing 40%+ year over year, expanding globally, and defining what voice becomes next. Join us. You won't just work on what voice is today, you'll shape what it becomes tomorrow: smarter, safer, and genuinely worth answering again. About the Position AI Engineers are responsible for developing and integrating AI solutions into Hiya’s products, focusing on rapid iteration, prompt engineering, and practical application. You'll fine-tune and optimize foundation models, craft sophisticated multi-agent systems, and invent novel solutions to power the next generation of voice intelligence. What You’ll Do - Integrate AI solutions into existing products and workflows - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions - Conduct model evaluations, prompt engineering, and fine-tuning of large language models (LLMs) - Implement and manage AI orchestration, including agent-based systems - Participate in the design and implementation of AI-powered applications and interfaces - Help shape the technical direction and best practices for LLM application development - Stay at the forefront of AI research and incorporate state-of-the-art techniques What You’ll Need to Succeed - Proficiency in programming languages such as Python, JavaScript, or TypeScript - Experience working with foundational model APIs and pre-trained open source models - Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning - Familiarity with AI orchestration and agent-based systems and best practices (LangChain, AutoGen, n8n) - Excellent problem-solving skills and the ability to work independently and collaboratively. - Strong communication skills and the ability to translate technical concepts to non-technical stakeholders The person in this role must embody Hiya’s key values of Serving our customers, Doing rather than observing, Improving ourselves and our business, Owning and holding ourselves accountable for success, and Leading by showing up with a point of view, engaging in open discussion, listening respectfully to others opinions and committing to decisions. You will have a fast start if you have experience: - Experience with cloud platforms such as AWS, Google Cloud, or Azure - Knowledge of Kubernetes and containerization technologies - Experience with data science and ML engineering - Familiarity with retrieval-augmented generation (RAG) The requirements listed in the job descriptions are guidelines. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable we would still love to hear from you. More Details The salary range for this role is between $134,000-$262,000. When determining compensation, a number of factors will be considered: skills, experience, job scope, location, and competitive compensation market data. - Start Date: Immediately - Status: Full-time - Type: Hybrid - Location: Seattle, WA - Travel Requirements: - Department: Engineering - Reports to: VP of Engineering Benefits - Equity compensation - 401K program with 3% match through Fidelity Investments - Self managed vacation plan - Paid Holidays - Medical, dental, and vision for the employee and 50% coverage for dependents - Flexible spending, health savings accounts and Pretax dependent day care savings plan - Paid parental leave - Voluntary Life and AD&D, and Accident insurance options - Employer-paid life insurance - Employer-paid long-term disability coverage (in qualifying states) - Donation Matching for a charity of your choice (up to $1,000/ year) - $1,000/year reimbursement in Professional Development funds This position is based in Seattle, WA, USA. We are building a team with a variety of perspectives, identities, and professional experiences. We evaluate great candidates through a business lens and we strongly believe that diversity and unique perspectives make our company stronger, more dynamic, and a great place to build a career. Our team has won various awards over the last 4 years from Built-in Seattle and Seattle Business Week to #86 on Deloitte Technology Fast 500 and Forbes #1 Startup Employer. Here at Hiya, we are a people-centric company focused on helping each and every one of our employees grow both personally and professionally. We feel that creating a team culture of support and empowerment to challenge the status quo results in an energized and passionate team that is continuously challenged and passionate about the work they are doing. You'll love working here if you are looking for an innovative challenge that is disrupting an industry. Come join us!

Title: AI Engineer Location: Dearborn United States Job Description: Job#: 3026858 Job Description: Software - Machine Learning Engineer Location: 100% Remote (Ford is based out of Dearborn, MI and will prioritize local profiles) Employment Type: Long Term Contract- W2 Role Overview An opportunity is available for an AI / ML Engineer to build and operationalize machine learning capabilities in a production environment. This role is focused on model development, deployment, and agent-based systems, with a significant emphasis on MLOps. The engineer will help shape and establish MLOps practices within an evolving technical landscape. This position is suited for a professional who is comfortable building systems and defining standards where tooling and processes are emerging. Key Responsibilities - Build and develop machine learning models using PyTorch, working with real-time data to solve production-level problems. - Develop and support agent-based systems within the Google Cloud Platform (GCP) environment. - Collaborate with data engineers on data inputs and pipelines. - Support and enhance the broader data and ML ecosystem, including working with prompt engineering. - Help operationalize and enable machine learning workflows across the organization. - Design and implement Generative AI solutions, with a focus on Retrieval-Augmented Generation (RAG) systems. - Ensure reliable deployment of AI models using containerization and MLOps practices. Required Qualifications Education: A Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field is required. Experience: A minimum of 3 years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields is required. Candidates must have experience deploying machine learning models into production environments. Technical Skills: - Proficiency in Python. - Experience with ML model development using PyTorch. - Familiarity with deployment and orchestration, preferably with Vertex AI. - Understanding of MLOps concepts, including model versioning, monitoring, retraining, and data drift. - Experience working in a cloud environment, such as Google Cloud Platform (GCP). Preferred Qualifications - A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related discipline. - Experience with real-time data processing. - Hands-on experience with agent-based systems and applied AI. - Familiarity with robust API development using frameworks like FastAPI. Compensation & Benefits The anticipated pay range for this position is $70.00/hour to $85.00/hour. Access to health, dental, and vision benefits, along with a 401(k) plan, is available. This employer is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Apex uses a virtual recruiter as part of the application process. Click here for more details. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Remote: Yes Location: Dearborn, MI, US Job Type: Applications and Data Management Date Posted: March 20, 2026 Pay Range: $70 - $85 per hour Similar Jobs - AI Engineer - AI Engineer - AI Engineer - AI Engineer - AI Evaluation Engineer

Role Description We are currently seeking an AI Developer Sr (Remote) to join our team in Mexico, México (MX-MEX), Mexico (MX). - Develop and implement the strategic vision for AI applications within Toyota, ensuring alignment with corporate objectives and driving transformative innovation across multiple business units. - Lead and inspire cross-functional teams in the design, development, and deployment of cutting-edge AI solutions, guaranteeing that projects are delivered on time, within scope, and aligned with overarching business goals. - Provide expert technical guidance in machine learning, deep learning, hardware engineering, and software engineering, ensuring adherence to best practices while fostering a culture of continuous improvement and innovation. - Collaborate closely with senior leadership, product managers, and key stakeholders to identify high-impact AI opportunities, define comprehensive project requirements, and effectively communicate progress and outcomes. - Mentor and cultivate a high-performing team of AI engineers, promoting professional development and career growth through targeted training, performance feedback, and leadership opportunities. - Stay at the forefront of industry trends and emerging technologies in AI, driving research initiatives that position Toyota as a leader in AI applications and solutions. - Identify and assess potential risks associated with AI projects, implementing robust mitigation strategies to ensure compliance with regulatory standards and ethical considerations. - Advise on architectural designs and establish technical requirements for scalable AI-oriented software systems. - Contribute to codebases for several different software projects and build infrastructure for new AI tools throughout the enterprise. - Work within a small team of engineers in a fast-paced environment to turn new AI research into real products and services. Qualifications - Bachelor's degree or similar education in computer science, natural sciences, mathematics, statistics, engineering, or equivalent work experience. - Minimum of 3 years of experience in engineering autonomous systems or equivalent experience in vehicle engineering, cloud engineering, or software engineering. - Proficiency in programming languages such as Python, Java, Javascript, or C++. - Demonstrated ability to lead and mentor technical teams, fostering a collaborative and innovative work environment. - Fluency in Terraform, AWS, Google Cloud, or Microsoft Azure and experience building infrastructure and tooling for cloud-based software. - Experience in Agile methodologies and project management tools (e.g., Jira, Trello) to effectively manage project timelines and deliverables. - Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Experience and demonstrated track record of building and deploying hardware or software for AI training or autonomous systems. - Strong background in computer vision, natural language processing, autonomous driving, robotics, or general engineering of autonomous systems. - Experience translating AI-related research into products through software engineering. - Passion for advancing the state of technology for the automotive industry and teaching AI to others. - Experience in distilling feature requests from customers into technical requirements for an engineering team. - Equivalent and similar experience to the above items will also be considered. Requirements - Relevant certifications in AI, machine learning, or project management (e.g., AWS Certified Machine Learning, PMP). - Understanding of ethical considerations and regulatory requirements related to AI technologies. - Familiarity with AI applications in the automotive industry or related fields, including autonomous systems, predictive maintenance, and customer experience enhancement. - Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Fluency with cybersecurity tools and best practices for AI models, cloud systems, or vehicle software. - Experience training and fine-tuning deep learning models. - Experience overseeing budget allocations for engineering projects and forecasting financials for product development lifecycles. - Fluency in a vector database service like Pinecone or AWS OpenSearch. - Experience in manufacturing or vehicle production plants. - Experience with data processing tools and techniques. - Understanding of object manipulation, CAD, or physics-based deep learning systems. - Proficiency in CUDA and/or training deep learning models with on-premise hardware. - Experience in building agentic mechanisms, MCP servers, and other LLM-based tools. - Fluency in human factors design and UI/UX standards for modern software applications. - Strong background working with users to understand usage and frustration signals to help inform product adjustments. - Proficiency in the use and design of modern generative AI tools, including large language models, vision-language models, vision-language action models. Company Description NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. - We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. - Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. - As a Global Top Employer, we have experts in more than 50 countries. - We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. - NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Role Description We are looking for an AI Engineer to join our team. This role involves designing, building, and optimizing AI-driven systems that enhance business operations. - Workflow Automation & Integration: - Design, implement, and optimize automations using tools like n8n, Make.com, and Zapier. - Build reliable integrations across Microsoft 365, Google Workspace, Slack/Teams, WhatsApp, CRMs, and more. - Ensure automations are error-resilient, scalable, and proactively monitored with smart error handling and notifications. - AI-Powered Development: - Develop AI-driven workflows such as transcription pipelines, chatbots, meeting assistants, and voice-to-form solutions. - Leverage APIs like OpenAI, Claude, ElevenLabs, and Read AI to deliver intelligent user experiences. - Fine-tune, prompt, and optimize large language models (LLMs) for task-specific use cases (e.g., summarization, classification, Q&A). - Design and deploy AI assistants, recommendation systems, and intelligent search tools that improve user experience. - Data & Reporting Systems: - Create and maintain data dashboards and automated reporting pipelines using AirTable, Google Data Studio, HubSpot, and Sheets/Excel. - Ensure data accuracy and visibility across teams and projects. - DevOps & Monitoring: - Deploy and manage AI models in production environments with continuous monitoring and performance tuning. - Establish A/B testing and evaluation frameworks for AI-driven features. - Ensure cost optimization when running models and automations on cloud platforms. - Collaboration & Documentation: - Partner with stakeholders to understand needs, map workflows, and translate requirements into technical solutions. - Document workflows, integrations, and automations to ensure transparency, scalability, and easy maintenance. Qualifications - 2+ years of experience with workflow automation platforms (n8n, Make.com, Zapier, Power Automate). - Strong knowledge of API integration principles (REST, OAuth 2.0, webhooks, JSON). - Experience automating across tools like Microsoft 365, Google Workspace, Slack/Teams, and CRMs. - Familiarity with AI/LLM APIs (OpenAI, Claude, ElevenLabs, transcription/voice tools). - Strong analytical and troubleshooting skills, with a proactive approach to reliability. - Excellent communication skills to explain technical concepts clearly to non-technical stakeholders. - Strong organizational skills and ability to map and optimize workflows end-to-end. Requirements - Full Time, PST timezone. - Be available during business hours to communicate responsively with your direct supervisor and teammates. - This is a remote position, allowing you to work from anywhere. Benefits - Endless Growth Opportunities – Your role evolves with you—take on more responsibility and leadership as you grow! - Great Starting Salary – Competitive compensation to reward your contributions. - 13th Month Bonus – Because we appreciate your hard work and dedication. - Performance-Based Raises, Bonuses & Prizes – Your growth directly impacts your compensation! - Health, Dental, and Mental Health Insurance – Comprehensive coverage to take care of you inside and out. - Proactive, Collaborative, Supportive, and Forward-Thinking Environment – Work on innovative projects alongside passionate leaders. - Permanently Remote Set-Up – Your office is wherever you want it!