Prompt Engineer, Applied AI

Join Our Team: We are seeking a talented Prompt Engineer specialized in Applied AI, who is both a strategist and a technologist. In this pivotal role, you will design and develop the cognitive processes that guide AI agents in making decisions and executing actions within a dynamic production platform. Rather than working with abstract theories, you will del…

Why Join Zania?At Zania, we are on a mission to revolutionize Governance, Risk, and Compliance (GRC) through innovative technology. With enterprises investing millions in GRC, the sector is primed for transformation. Our cutting-edge agentic AI is designed to tackle the complexities of compliance and risk management effectively, setting new benchmarks in the industry.We are experiencing rapid growth and are looking for talented individuals to join our team. Here are some compelling reasons to consider a career with us:Prestigious Clientele: Collaborate with leading global enterprises such as FAANG and top-tier firms.Strong Financial Backing: Supported by a top-tier venture capital firm, enabling us to build a legacy company.Exceptional Team: Work alongside industry leaders from renowned companies like Airbnb, Microsoft, and Deloitte.Innovative Technology: Engage in pioneering applied AI projects that are shaping the future of compliance.Rapid Expansion: Join us as we celebrate a remarkable 10x growth in annual recurring revenue over the past year.Attractive Compensation: We offer competitive salaries and equity options.Position OverviewAs an Applied AI Engineer at Zania, you will spearhead the development of advanced AI systems that surpass traditional methods in GRC. Your focus will be on building production-level AI solutions with an emphasis on accuracy, innovation, and ethical considerations. This position is located in our Palo Alto office, and we provide relocation assistance for qualified candidates.Your ResponsibilitiesModel Development: Fine-tune foundational AI models using proprietary datasets and implement cutting-edge techniques to enhance precision in GRC tasks.AI Workflow Creation: Design and develop intricate agentic workflows that optimize compliance processes.

Join Our Team at SimileAt Simile, we are revolutionizing decision-making in society by providing AI simulations that accurately model human behavior. Just as pilots and surgeons rely on simulations for training, we believe that businesses deserve the same rigor when making high-stakes decisions.Our groundbreaking work has led to the creation of the first AI simulation of society, featuring generative agents that reflect real human experiences. Backed by $100 million from top investors, including Index Ventures and renowned AI experts, we are on a mission to predict human behavior with unparalleled accuracy.The RoleAs an Applied Research Engineer and Member of Technical Staff (MTS), you will be integral in refining our models of human behavior. With a strong emphasis on scientific rigor, you will participate in the entire research cycle—from designing experiments to implementing them in production systems that influence real-world decisions.Your Responsibilities Will Include:Data Insight Extraction: Analyze extensive proprietary datasets, including unstructured interviews and behavioral data, to uncover meaningful insights.Hardware Proficiency: Develop and optimize algorithms for cutting-edge NVIDIA hardware, conducting experiments that inform our model training.Scientific Leadership: Design thorough evaluations that validate our behavioral simulations against industry standards.Pushing Boundaries: Engage with the latest research in simulation and AI, continuously enhancing our methodologies and documentation.

About UsAt Hippocratic AI, we are at the forefront of generative AI in the healthcare sector. Our innovative platform excels in facilitating safe, autonomous clinical conversations with patients, utilizing our proprietary LLMs within the Polaris constellation, achieving an unparalleled accuracy rate of over 99.9%.Why You Should Join UsLead the Revolution in Healthcare AI. We are developing the world’s first healthcare-specific, safety-centric LLM, aimed at significantly enhancing patient outcomes worldwide. This is an opportunity to be part of a groundbreaking initiative.Collaborate with Visionaries. Co-founded by CEO Munjal Shah and a team of esteemed professionals including physicians, hospital executives, AI innovators, and researchers from prestigious institutions like Johns Hopkins and Stanford, you will be working alongside the best minds shaping the future of healthcare.Join Our Well-Backed Venture. We recently secured a $126M Series C funding round, elevating our valuation to $3.5B with total funding reaching $404M, supported by top-tier investors such as Avenir Growth and a16z.Be Part of a Transformative Team. Work with experts dedicated to advancing healthcare, improving care quality, and pioneering technologies that make a real difference.Location RequirementWe believe that collaboration fosters innovation. This role requires you to be present at our Palo Alto office five days a week to cultivate a strong team culture.About the RoleAs a Senior Applied Scientist, you will oversee the RL-based post-training pipeline to enhance our models' clinical reasoning, safety, and alignment in healthcare applications. Your contributions will directly impact millions of patients across various clinical contexts.Your ResponsibilitiesDesign and refine RL-based post-training strategies including RLHF, RLVR, and DPO.Develop and assess reward models, verifiers, and LLM-as-judge systems.Create conversational AI environments and simulations for healthcare RL training utilizing synthetic data.

Join us in transforming healthcare through AI.At Qualified Health, we are at the forefront of innovation, harnessing the power of Generative AI to revolutionize the healthcare landscape. Our robust infrastructure ensures safe AI governance, facilitates the creation of healthcare-specific agents, and enables real-time algorithm monitoring—partnering with leading health systems to effect meaningful change.This is not merely a position; it is a chance to shape the future of AI in healthcare, tackle intricate challenges, and significantly enhance patient care. If you are driven, creative, and eager to accelerate progress, we invite you to become a part of our team.Help us define the future of healthcare. Job Overview:We are seeking a dedicated Applied AI Engineer who will be pivotal in developing and scaling AI workflows that are practical and impactful. This role is tailored for engineers who are adept at deploying generative AI applications. You will primarily focus on constructing agentic workflows and integrating production-grade solutions across various product lines.Collaboration with product and engineering teams will be key as you design, deploy, and enhance AI-driven applications that address real-world healthcare issues.Key Responsibilities:Create and implement agentic workflows and automation pipelines (approximately 60% of the role).Develop and sustain production-ready services, REST APIs, and integrations (approximately 30%).Deliver production solutions swiftly, emphasizing agility and efficiency.Collaborate with product, engineering, and design teams to provide comprehensive AI-powered features.Assess and integrate cutting-edge LLMs (OpenAI, Anthropic, Mistral, etc.) for production use cases.Contribute to the development of a scalable workflow infrastructure capable of supporting 100+ workflows.Required Qualifications:Bachelor’s degree with 4 years of experience OR Master’s degree with 2 years in Computer Science, Engineering, or a related field.Robust software engineering foundation (Python is essential; adherence to strong coding practices is a must).Experience in developing AI-powered applications within the last 1–2 years utilizing technologies such as ChatGPT, Claude, Anthropic, or Mistral.Practical experience in REST API development and service deployment in cloud environments (preferably GCP).Solid understanding of MLOps, model deployment, and ...

Role Overview Mistral is hiring an Applied AI Forward Deployed Machine Learning Engineer in Palo Alto. This role centers on bringing advanced machine learning solutions into real-world client settings. The work directly shapes client outcomes and business impact. What You Will Do Deploy machine learning models and systems for client projects Work closely with cross-functional teams to understand specific challenges Develop and adapt AI solutions to fit client needs, focusing on efficiency and practical results

At Rhoda AI, we are pioneering a comprehensive platform for the next generation of humanoid robots. Our cutting-edge technology encompasses high-performance, software-defined hardware alongside sophisticated foundational models and video world models. Our robots are crafted to be versatile and capable of navigating complex, real-world scenarios that may not be covered in traditional training. We are at the forefront of large-scale learning, robotics, and systems integration, boasting a research team that includes esteemed professionals from Stanford, Berkeley, Harvard, and other prestigious institutions. With over $400 million raised, we are committed to significantly investing in research and development, hardware innovation, and scaling up our manufacturing processes to realize our vision.We are seeking a talented mid-to-senior Application Engineer who will be instrumental in translating real-world customer use cases into effective intelligent robot deployments. You will engage in the design, prototyping, and enhancement of grippers, end-of-arm tooling, workstations, and integration hardware. Additionally, you will develop efficient strategies for robot learning and data collection, operating at the confluence of robotics, artificial intelligence, hardware, and deployment operations.

About Glean:Founded in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and share information within their teams. By seamlessly integrating with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have access to vital knowledge precisely when they need it, enhancing productivity and fostering collaboration. Our state-of-the-art AI technology simplifies knowledge discovery, allowing teams to efficiently utilize their collective intelligence.Glean was conceptualized by Founder & CEO Arvind Jain, who recognized the difficulties employees encounter in finding and comprehending information at work. Observing how fragmented knowledge and cumbersome SaaS tools hinder productivity, he aimed to create a superior solution—an AI-powered enterprise search platform that enables users to swiftly and intuitively access the information they require. Today, Glean stands as a leader in the Work AI space, merging enterprise-grade search, an AI assistant, and robust application- and agent-building capabilities to redefine employee workflows.About the Role:Glean is assembling a premier Data Organization that includes product data science, applied science, data engineering, and business intelligence teams. This position is an applied science role based in our Palo Alto or San Francisco office and involves:A/B Experimentation:Collaborating with product data science and engineering teams to identify enhancements in techniques, tools, and processes for A/B experimentation, facilitating informed decision-making across all relevant product areas.Developing and maintaining our A/B experimentation platform informed by stakeholder feedback.Writing code or identifying vendors to implement these techniques into production in a scalable and user-friendly manner for engineering and product teams.

About UsAt Hippocratic AI, we are pioneers in the realm of generative AI for healthcare. Our innovative system enables safe and autonomous clinical dialogues with patients, achieving over 99.9% accuracy through our proprietary large language models (LLMs) within the Polaris constellation.Why Join Our TeamTransform healthcare with safety in mind. We are developing the world’s first healthcare-specific, safety-centric LLM, a revolutionary platform aimed at enhancing patient outcomes globally. This represents a new category in healthcare technology.Collaborate with industry leaders. Co-founded by CEO Munjal Shah alongside a team of esteemed physicians, hospital executives, AI innovators, and researchers from top institutions such as El Camino Health, Johns Hopkins, Stanford, Google, and NVIDIA.Supported by premier investors. Recently, we secured $126M in Series C funding at a $3.5B valuation, led by Avenir Growth, contributing to a total funding of $404M from notable investors including CapitalG, General Catalyst, and a16z.Work with the best minds in healthcare and AI. Join a team dedicated to improving healthcare, advancing science, and creating transformative technologies that ensure our platform is powerful and trusted.About the RoleAs an AI Engineer at Hippocratic AI, you will be instrumental in advancing voice-based generative AI in healthcare. Your responsibilities will include designing and developing intelligent systems that power our clinically safe healthcare agents, integrating large language models with real-time voice technology and human-centered design.This is a hands-on, cross-functional position, requiring close collaboration with AI researchers, product managers, and clinical experts to deploy advanced language and speech models. Your contributions will significantly shape how patients and providers interact safely with generative AI.

Join Our Mission at Hippocratic AIHippocratic AI stands at the forefront of generative AI in healthcare, pioneering a revolutionary platform that enables safe and autonomous clinical interactions with patients. Our proprietary large language models (LLMs) within the Polaris constellation have achieved an unmatched accuracy of over 99.9%.Why Become Part of Our Team?Transform Healthcare Through Innovation. We are developing the first safety-first healthcare LLM, a groundbreaking initiative aimed at enhancing patient outcomes globally. Be part of a category-defining journey.Collaborate with Visionaries. Our founding team includes CEO Munjal Shah alongside esteemed physicians, hospital executives, AI innovators, and researchers from prestigious institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Supported by Premier Investors. Recently, we secured a $126 million Series C funding round at a valuation of $3.5 billion, led by Avenir Growth, totaling $404 million in funding with contributions from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and notable individual investors.Work with Top Talent in the Field. Collaborate with experts dedicated to improving healthcare, advancing scientific research, and creating transformative technologies that ensure our platform is both powerful and trustworthy.Location RequirementTo foster collaboration and a dynamic team culture, this position is based in our Palo Alto office five days a week, unless otherwise specified.About the RoleWe are seeking a talented AI Integration Engineer to connect healthcare data systems with our clinical AI platform. This role sits at the nexus of healthcare interoperability, system design, and data engineering, focusing on integrating EHRs, APIs, and analytics pipelines essential for scaling our AI models.As part of this role, you will work closely with delivery leads, product managers, and customer engineers to design and implement reliable integrations using contemporary interoperability standards. Your primary responsibilities will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You will also collaborate with offshore engineers to ensure timely and high-quality solution delivery.

Join Klaviyo as a Senior Lead AI Engineer and be at the forefront of creating innovative AI solutions that enhance customer experiences and drive business growth. In this role, you will lead a team of talented engineers, collaborating on cutting-edge AI technologies and methodologies. Your expertise will help shape the future of our AI initiatives, making a significant impact on our product offerings.

Hippocratic AI develops generative AI technology designed for healthcare, focusing on safe and autonomous clinical conversations between patients and providers. Their proprietary large language models, built within the Polaris constellation, have reached an accuracy rate above 99.9%. The company is mission-driven, working to create the first healthcare-specific, safety-focused LLM with the goal of improving patient outcomes around the world. Leadership includes physicians, hospital executives, AI researchers, and technologists from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is well-funded, having recently completed a $126M Series C round at a $3.5B valuation, with total funding now at $404M from investors including Avenir Growth, CapitalG, General Catalyst, a16z, and others. Collaboration is central to the company’s culture. Team members work closely with leaders in healthcare and AI, advancing both clinical care and technology. Location and On-site Requirement This Senior Staff AI Engineer position is based in Palo Alto. The role requires on-site presence five days a week to support close collaboration and maintain a strong team culture, unless otherwise specified. Role Overview The Senior Staff AI Engineer leads technical strategy for voice-driven generative AI in healthcare. This role designs and builds core platforms that enable clinically safe healthcare agents, integrating large language models, real-time voice systems, and human-centered product design. As one of the most senior individual contributors, this engineer drives initiatives in retrieval-augmented generation (RAG), agent orchestration, evaluation, real-time voice technology, and safety. Key Responsibilities Partner with the executive team, AI researchers, product managers, and clinical experts to define and execute technical vision Design and build core platforms for healthcare AI agents, focusing on safety and clinical accuracy Mentor Staff and Senior engineers, guiding architectural decisions for future platform generations Represent Hippocratic AI in research and healthcare forums, contributing to the evolution of healthcare AI The work in this role directly influences patient care and the development of safe, effective AI solutions in healthcare.

Hippocratic AI is building generative AI systems for healthcare, focused on safe, autonomous clinical conversations. The company’s proprietary large language models (LLMs) power these interactions, achieving an accuracy rate above 99.9%. This team is developing a healthcare-exclusive, safety-first LLM platform with the goal of improving patient outcomes worldwide. The company is led by CEO Munjal Shah and a group of physicians, hospital executives, AI researchers, and engineers from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading investors in healthcare and AI, including Avenir Growth, CapitalG, General Catalyst, and a16z. The company recently completed a $126 million Series C round, reaching a $3.5 billion valuation and $404 million in total funding. Role overview The Staff AI Engineer will shape the technical direction for voice-based generative AI in healthcare. This position involves designing intelligent systems that enable clinically safe healthcare agents, blending expertise in large language models, real-time voice interaction, and user-centered product development. This is a hands-on role with significant impact. The Staff AI Engineer will oversee one or more core AI domains, such as retrieval-augmented generation (RAG), agent orchestration, evaluation, or real-time voice. Collaboration with AI researchers, product managers, and clinical experts is central, as is mentoring engineers across the organization. Contributions in this role will influence how patients and providers interact with generative AI at scale. Hippocratic AI seeks experienced technical leaders who want to apply AI to real-world healthcare challenges and set high standards for technical excellence. Location requirement This position is based in Palo Alto and requires in-person attendance at the office five days a week unless otherwise specified.

Hippocratic AI seeks an AI Customer Engineer based in Palo Alto. This position centers on helping clients use advanced AI technologies and making sure their experience meets high standards. Role overview The AI Customer Engineer works directly with customers to support their needs and ensure the successful use of AI-powered solutions. Each project involves adapting technology to fit specific client requirements. What you will do Support clients by addressing questions and technical challenges related to AI solutions Collaborate with teams to tailor AI tools for each customer’s needs Work to improve the overall client experience with Hippocratic AI’s offerings Location This role is based in Palo Alto.

Join us at Rhoda AI, where we are pioneering the full-stack foundation for the next generation of humanoid robots. Our mission encompasses everything from high-performance, software-defined hardware to the foundational models and video-based world models that govern them. Our robots are designed to navigate complex, real-world environments and tackle scenarios that have not been encountered during training. We are a collective of top-tier researchers from esteemed institutions like Stanford, Berkeley, and Harvard, focusing on the intersection of large-scale learning, robotics, and systems. With over $400M raised, we are committed to substantial investments in R&D, hardware development, and scaling manufacturing to bring our vision to life.As a Robotics Software Engineer, you will play a crucial role in developing and maintaining the software that drives our robots. Your primary focus will be on integrating sensors and perception systems to facilitate reliable operations in varied customer environments.

Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.

Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability.‍ The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.

About Hippocratic AI Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions. Our Mission and Team The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner. Role Overview: Performance Engineer The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications. Key Responsibilities Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage). Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions. Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health. Location This position is based in Palo Alto.

Our MissionAt Fiddler AI, we recognize the profound effects of artificial intelligence on people's lives. Our founding mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, there is a pressing need to address risks and ensure reliable functioning of AI applications. Fiddler empowers organizations to proactively tackle these challenges by delivering trustworthy and transparent AI solutions.We collaborate with AI-first organizations to establish a sustainable framework for responsible AI practices, fostering trust among their user communities. AI engineers, data scientists, and business teams utilize Fiddler AI to monitor, assess, secure, analyze, and enhance their AI solutions for superior outcomes. Our platform equips both engineering teams and business stakeholders with insights into the "what", "why", and "how" behind AI results.About Our FoundersFounded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, PayPal, and a two-time founder), Fiddler AI is backed by renowned investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why You Should Join UsOur passionate team is dedicated to integrating trust into AI, empowering society to leverage its capabilities. By joining us, you will play a crucial role in ensuring operational transparency and security for AI applications deployed at scale across various industries. As an early-stage startup, we boast a rapidly expanding team of intelligent, empathetic innovators, thinkers, and builders. The AI and ML sectors are advancing quickly, offering immense learning opportunities. This is your chance to be at the forefront of innovation.Recognized as a trailblazer in AI Observability, Fiddler has garnered several prestigious accolades including the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, the 2020 WEF Technology Pioneer, the 2020 Forbes AI 50 most promising startups, and being named a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our exceptional team, you will contribute significantly to the evolution of AI Observability.Your RoleAs Fiddler continues its growth trajectory, we are in search of talented, passionate individuals across various functions. This evergreen requisition invites you to apply and become part of our innovative team.

Join Klaviyo as a Lead AI Engineer, where you will spearhead innovative AI projects and lead a talented team of engineers. In this pivotal role, you will be responsible for designing, developing, and deploying cutting-edge AI solutions that enhance our products and services.