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This role involves designing and developing intelligent mobile applications for iOS and Android that integrate Generative and Agentic AI capabilities. The engineer will focus on the delivery of AI-powered mobile experiences.
Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
This role involves building and maintaining a financial investment platform using Python, FastAPI, Angular, and AWS. The engineer will lead R&D initiatives in GenAI, manage data pipelines, and own full-stack features from prototype to production.
Builds AI/ML models and analytics for Pentagon logistics and decision-making using predictive analytics and optimization.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
The AI Engineer develops and implements GenAI and AI applications, integrating them into existing system landscapes and automating workflows. The role focuses on transitioning prototypes into scalable, production-ready solutions while collaborating with cross-functional teams.
The Technical Product Manager will own the roadmap for Wayve's development and experimentation vehicle platforms, bridging hardware, software, and operations to accelerate autonomous vehicle testing. This role involves cross-functional collaboration to define requirements, manage platform KPIs, and improve tooling for data collection and deployment.
The Sales Engineer at Hatch supports complex sales deals by performing technical discovery, scoping integration requirements, and leading the implementation process for new customers. This role bridges the gap between sales and engineering, requiring hands-on technical expertise in CRM systems, APIs, and data workflows.
Builds AI-driven agent systems and cloud-native platforms to accelerate pharmaceutical research using Python, FastAPI, and GCP/Azure.
The Java Developer will build and maintain RESTful APIs and data pipelines for a major investment client using Java, Spring Boot, and various AWS services. The role requires working from the Campinas office three days a week and collaborating with international teams on regulatory-compliant financial solutions.
CI&T is seeking a mid-level Java developer to build and maintain backend services using Java 17/21, Spring Boot, and PostgreSQL. The role involves working with containerized services on Kubernetes and implementing secure API architectures within a global enterprise environment.
The Senior/Master Fullstack Developer will design and build end-to-end features for cloud enterprise platforms using Python and React. The role involves maintaining resilient systems, integrating AI tools into the development workflow, and ensuring platform stability through production support.
Design, build, and maintain cloud infrastructure and CI/CD pipelines for AI-powered platforms using Kubernetes, Terraform, and AWS/GCP/Azure.
The GCP Data & MLOps Engineer will design and operate cloud-native data and AI/ML platforms using GCP, Python, Dataflow, and BigQuery. The role focuses on building data pipelines, automating model lifecycles, and developing REST APIs.
Designs and deploys Azure-based data/analytics infrastructure using Terraform, collaborates on AI/ML projects, and ensures scalable cloud solutions with MLOps practices.
The Senior Data Engineer will design scalable data pipelines and lakehouse architectures using Microsoft Fabric and Azure Data Factory to support generative AI and agent-based data products.
The Senior Database & Analytics Engineer will build and govern data foundations within an AI and analytics team, focusing on data modeling, ETL/ELT, and establishing engineering standards. The role involves working with cloud data platforms like Azure and Microsoft Fabric to transform raw data into analytics-ready assets.
The Technical Lead will design and implement data platform components for Generative AI initiatives using Databricks, Apache Spark, and Python. The role involves both hands-on development and technical leadership to guide delivery teams in building scalable, secure solutions.
The GCP Data & AI/MLOps Engineer will design and maintain secure, scalable data pipelines and machine learning workflows on Google Cloud Platform. The role involves implementing MLOps practices, automating cloud deployments, and developing web applications to support mission-critical AI and data solutions.
This Senior Data Engineer role involves building scalable data pipelines and lakehouse solutions within the Microsoft Azure and Fabric ecosystem to support generative AI and agent-based applications. The position is an initial three-month contract with the potential to transition into a permanent role.
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