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About Jakala We are Jakala — a data, AI and experience agency. Our team builds production-grade web applications and applied AI systems for enterprise clients in the healthcare and life sciences space. The work spans…
The Senior Data Engineer will build scalable, customer-facing data products using Databricks, Azure, Python, and PySpark. The role involves integrating AI and LLM technologies into data pipelines while collaborating with product and commercial teams.
AWS Data Engineering Consultant designing and implementing enterprise-scale data pipelines on AWS (S3, Glue, Lambda, Redshift, Athena, EMR, DynamoDB) using Python, SQL, and Spark/PySpark with IaC tools like Terraform.
Build and maintain cloud data pipelines on AWS, using services like S3, Glue, Redshift, and PySpark to move and transform data for analytics and AI workloads.
Sans Souci is seeking a Senior Full Stack Engineer in Belfast to design and deploy cloud-native web applications, data platforms, and AI-enabled solutions. The role involves working with React, Node.js/FastAPI, and cloud services like Azure or AWS to build scalable products while mentoring team members.
This is a senior-level full stack developer role requiring 12 years of experience in Java, Python, and modern frontend frameworks like React and Angular. The position focuses on building cloud-native applications on AWS with a heavy emphasis on Generative AI, LLMs, and machine learning integration.
Designs and builds scalable data infrastructure for AI-driven analytics in fintech/private markets, focusing on pipelines, vector databases, and cloud-based data processing.
Full Stack Engineer building enterprise applications infused with Generative and Agentic AI across the full SDLC — spanning React/Angular/Java/.NET/Node.js/Python stacks, cloud-native microservices, and LLM/RAG/agent integrations.
The Full Stack Engineer will design and develop scalable AI-powered software systems, integrating LLMs, vector databases, and cloud-native architectures. The role involves collaborating with data scientists to operationalize machine learning models and building robust web applications and APIs.
JustMarkets is a global fintech company delivering high-tech trading and investment solutions to millions of clients across 160+ countries since 2012. We are hiring an AI Automation Specialist to build scalable,…
At Machine Learning Reply, we help organizations turn cutting-edge AI technologies into real-world applications and scalable digital products. To strengthen our team, we are looking for an AI Application Engineer who…
The Forward Deployed Engineer works directly with enterprise clients to build, deploy, and scale custom technical solutions, including AI and LLM integrations. This role acts as a bridge between client needs and core product development, requiring strong software engineering skills and the ability to communicate with technical stakeholders.
Designs and integrates AI-driven marketing workflows for a global enterprise, aligning Generative AI tools with MarTech ecosystems and enterprise standards.
Design and integrate AI-driven marketing workflows, embedding LLMs, RAG, and agents into enterprise MarTech stacks while aligning with security and governance standards.
Builds and deploys core AI platform components for NICE, including agent orchestration, RAG pipelines, and LLM integration, enabling enterprise automation across systems like Salesforce, ServiceNow, and Azure services.
О компании и проекте Мы развиваем технологичный продукт на стыке AI, мобильных приложений и IoT . Создаем кроссплатформенное мобильное приложение для Android и iOS, которое помогает следить за безопасностью, состоянием…
Build and own data lake/warehouse architecture, ELT pipelines, and data QA systems, integrating LLM workflows and vector databases using Python, SQL, and Apache Airflow.
SAP BTP Architect (Manager) at EY Technology Consulting in Singapore, designing and delivering cloud-native SAP architectures with a focus on AI/ML and Generative AI use cases on SAP Business Technology Platform.
Lead AI Analytics Engineer architecting data pipelines, vector databases, and multi-agent orchestration frameworks (LangChain/LangGraph) to power autonomous risk detection in Grab's Trust & Safety team using Python and LLMs.
Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
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