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The Data & AI Architect will design and implement scalable data platforms and AI solutions, including GenAI and agent systems, within a cloud environment. The role involves collaborating with cross-functional teams to translate business requirements into robust technical architectures.
The Data Product Engineer will build and scale data analytics solutions for the agricultural and livestock sector, translating business needs into actionable metrics. The role involves end-to-end development using Python, Airflow, dbt, ClickHouse, and Cube.js to support Industry 4.0 and AI-driven decision-making.
Tilencia is hiring an AI and DevOps consultant to design, deploy, and secure large-scale generative AI solutions. The role focuses on cloud architecture, CI/CD pipelines, and ensuring the performance and security of AI infrastructure.
Full-Stack Java/React engineer developing, integrating, and maintaining modern solutions for image processing and software engineering projects, collaborating with R&D and clients.
This role involves building and maintaining data pipelines and production-grade applied AI components for a building decarbonization SaaS platform. The engineer will focus on data ingestion, modeling, and scaling AI features while ensuring data quality and observability.
The Software Engineer will build LLM-powered features for clinical data curation and develop backend services using Python and Go. The role focuses on handling structured and unstructured healthcare data, including HL7/FHIR messaging, in a regulatory-compliant environment.
This role involves evaluating, debugging, and providing feedback on code and technical content generated by AI models to improve their engineering capabilities. The position requires strong full stack development expertise and the ability to work independently and asynchronously.
As a Full Stack Engineer, you will build and maintain enterprise AI SaaS features and internal tools from end-to-end. You will work across the stack to implement AI agents and web interfaces while collaborating closely with product and design teams.
The Lead Full Stack Developer will lead a team in building and architecting secure digital banking platforms using Angular, Node.js, and AWS serverless technologies. The role involves integrating Generative AI and LLM capabilities into enterprise workflows while ensuring compliance with financial regulations.
The DevSecOps & IT Operations Engineer manages IT lifecycle operations, oversees SOC 2 and ISO 27001 compliance, and maintains core AWS infrastructure and CI/CD pipelines. The role requires a blend of IT operations, security compliance, and cloud platform maintenance to support the company's AI-driven HR platform.
The Data Platform Engineer will build and maintain cloud data infrastructure and pipelines using AWS, Databricks, Terraform, and Kubernetes. This role involves managing CI/CD processes and developing streaming data workflows to support analytics and AI products.
The Software Developer will build, scale, and maintain products within the pennylane.ai ecosystem, focusing on backend API design and distributed systems. The role requires proficiency in Python, Go, or Rust and experience with cloud infrastructure and PostgreSQL.
This role involves evaluating, debugging, and providing feedback on backend code and technical content generated by AI models. The developer will assess AI outputs for quality and scalability while working independently to improve model capabilities.
Frontend developer evaluating and debugging AI-generated frontend code, providing written feedback to improve model logic and engineering judgment. Work is independent and asynchronous.
Auditdata is looking for a full-stack engineer to develop and modernize healthcare software solutions using React and .NET. The role involves working across frontend, backend, mobile, and desktop environments within a remote scrum team.
The Product Delivery Manager in AI Governance leads end-to-end delivery processes and manages stakeholder dependencies to optimize customer experiences within J.P. Morgan's AI initiatives.
Capitole is seeking a Senior Data Scientist and ML Engineer to lead the development and deployment of AI and predictive models. The role involves managing the full model lifecycle, from initial data analysis and experimentation to production monitoring and business collaboration.
This Forward Deployed Engineer role involves working directly with customers to solve real-world problems while contributing to the development of the company's core AI and data product. The position requires strong proficiency in Python, SQL, and data engineering, with a focus on building and maintaining production-grade systems.
Global M is seeking a Forward-Deployed Data & AI Engineer to build production solutions for clients and contribute to core product development. The role involves balancing customer-facing work with technical product engineering within a remote European timezone environment.
The Forward Deployed Engineer works at the intersection of AI, data, product, and clients to develop production-ready solutions. The role involves direct client interaction and requires strong software engineering skills in Python and SQL.
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