Spoiler: This is where your next big move begins.What this Journey Looks LikeAt Pearster, we are hiring an AI Engineer to join our team.
This is a 100% remote position where you will be responsible for designing, building, and implementing AI-powered solutions that solve real business challenges and create meaningful impact.You will work with modern Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), Machine Learning, and intelligent automation, collaborating with cross‐functional teams to transform ideas and business needs into scalable, production‐ready solutions.We are looking for a curious, hands‐on, and innovative professional who enjoys experimenting with emerging technologies, solving complex problems, and turning the latest advances in AI into practical solutions.What You'll Lead and BuildBuild solutions leveraging Generative AI, Large Language Models (LLMs), and Machine Learning.Design, develop, and deploy AI‐powered applications and solutions.Develop and integrate AI agents, APIs, and intelligent automation workflows.Build solutions using RAG (Retrieval‐Augmented Generation), embeddings, vector databases, and prompt engineering.Integrate AI models and services from platforms such as OpenAI, Anthropic, Google, AWS, Azure, or similar providers.Develop prototypes and Proofs of Concept (POCs) and help transform successful experiments into production‐ready solutions.Evaluate and optimize AI solutions for accuracy, reliability, performance, scalability, and cost.Collaborate with Engineering, Product, and business stakeholders to identify opportunities where AI can create meaningful value.Integrate AI capabilities into existing applications, platforms, and workflows.Contribute to responsible AI practices, including security, privacy, monitoring, and appropriate use of AI systems.Stay up to date with emerging AI technologies, frameworks, tools, and industry best practices.Share knowledge and contribute to building AI capabilities and best practices across the organization.What You Bring to the TableStrong programming skills, preferably in Python.Professional experience in Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.Hands‐on experience building applications using Generative AI and Large Language Models (LLMs).
Experience integrating APIs and developing backend services.Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents.Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or similar technologies.Experience working with AI APIs and platforms such as OpenAI, Anthropic, Google Gemini, or similar.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.Understanding of Git, APIs, CI/CD, and modern software development practices.Strong analytical and problem‐solving skills.Ability to work independently in a fully remote environment.Strong communication and collaboration skills.Intermediate to advanced English level to collaborate effectively in an international environment.Benefits that Move you Forward.We're here to amplify your brilliance, not contain it.Work from anywhere with true flexibility and freedom.Earn in USD with compensation that matches your expertise.Recharge confidently with dedicated paid time off.Advance your career with fully covered international certifications.Access coworking spaces worldwide whenever you want a professional setup.Strengthen your English and expand your global reach.Connect and have fun with activities that unite our international team.Feel appreciated with personalized gifts and a ting where faster learning creates durable competitive advantage and translating this into a prioritized portfolio against the highest-value constraints in cycle time, genetic gain, decision quality, and product delivery;
Establish how the organization formulates and answers research questions by setting standards for hypothesis-driven design, decision-ready evidence, and disciplined scale, pivot, or stop decisions so that rapid iteration becomes the default operating rhythm rather than a collection of individual projects;
Shape the enabling-technology agenda across accelerated breeding, genomics, phenotyping, predictive analytics, automation, and digital workflows, directing investment and partnerships toward the capabilities that will differentiate the pipeline;
Lead the adoption strategy that institutionalizes proven innovation, governing the standards, workflows, training, and change management required to embed new practices across crops and regions at scale;
Own the impact narrative and its metrics by defining how acceleration value is measured and reported on cycle time, genetic gain, cost, quality, and adoption, and using that evidence to steer investment, leadership decisions, and the Long-Range Plan;
Provide technical, strategic, and product knowledge to the Capability Center, strategically contributing to key global Precision Breeding, Breeding, and R&D; focus areas;
Lead and contribute to Global Breeding strategies and the Long-Range Plan (LRP), ensuring alignment with high-level functional and commercial goals;
Engage strategically with key universities to coach and guide future talent development, ensuring Bayer is viewed as a strategic talent destination of choice;
Serve as a member of various L3 leadership units across commercial and product supply teams, helping connect research acceleration with downstream product and supply decisions;
Ensure a strong focus on HS&E;, Compliance, DEI, Business Conduct, and Human Rights across the Capability Hub, fostering a culture that emphasizes ethical practices, safety, inclusion, and responsibility.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
PhD degree or MS degree in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or a related field
Strong knowledge of advanced breeding technologies, advanced analytics and information technologies, genomics, and/or quantitative genetics, with a proven track record of driving innovation into applied pipelines;
Strong ability to collaborate and build cross-functional partnerships to solve complex business and technical problems across regions and functions;
Demonstrated ability to embrace and role-model VACC leadership attributes, aligned with Bayer's Values, Ambition, Collaboration, and Creativity expectations, within the Capability Center and with peers and colleagues across Bayer Crop Science.
Preferred Qualifications:
5+ years of technology leadership experience, or MS degree with 8+ years of technology leadership experience;
Experience leading research acceleration, precision breeding, or early pipeline innovation initiatives in a global R&D; environment;
Experience working within large, matrixed organizations and contributing to cross-functional strategies that span R&D;, product design, and commercial teams;
Proven ability to influence senior stakeholders and drive adoption of new ways of working across diverse teams and geographies;
Strong communication skills with the ability to translate complex scientific and strategic concepts into clear, decision-ready insights for leadership and partners.




Listed below are aspects of the application process which may be present to maintain job posting compliance in the multiple countries which this position is posted.
United States
In the US, employees can expect to be paid a salary between ($ to $ ).
This range reflects the national US market rate ("salary range") for base pay for the relevant role.
Additional compensation may include a bonus or incentive compensation (if relevant).
Additional benefits includg data environments (e.g., Hadoop, Spark).
Knowledge of cloud computing, including virtualization, multi‐tenant infrastructures, and storage systems.Excellent customer‐facing communication and listening skills with expertise in architecting solutions.About the job:The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's integral network, web‐scale data centers, and software infrastructure.As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI.
You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers.
Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you will be the Google Engineer working with Google's largest and most ambitious Cloud customers.
Together with the team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.Google Cloud accelerates every organization's ability to digitally transform its business and industry.
We deliver enterprise‐grade solutions that leverage Google's cutting‐edge technology, and tools that help developers build more sustainably.
Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities:Be a trusted technical advisor to customers and solve complex machine learning challenges.Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.Create and deliver best practice recommendations, tutorials, blog articles, and sample code.Travel up to 30% in‐region for meetings, technical reviews, and onsite delivery activities.Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‐to‐be, criminal histories consistent with legal requirements, or any other basis protected by law.
See also Google's EEO Policy.
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