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The Fullstack Developer builds and maintains Gen AI applications by developing ReactJS frontends and Python-based backend services. The role involves integrating LLMs, managing RAG pipelines, and deploying containerized solutions across major cloud platforms.
This role involves transitioning machine learning models into scalable production systems using AWS, PyTorch, and various optimization techniques. The engineer will collaborate with cross-functional teams to deploy and monitor AI solutions within an educational technology environment.
Artefact is seeking a Data Engineer to build scalable data pipelines and infrastructure to support Generative AI, RAG systems, and LLM fine-tuning. The role involves working with cloud platforms like Databricks, Azure, or AWS, and implementing data transformation and orchestration best practices.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from architecture to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
This Senior Platform Engineer/DevOps role focuses on managing cloud infrastructure for AI workloads, specifically provisioning AKS/EKS clusters for LLM inference and fine-tuning. The position involves automating CI/CD pipelines, implementing observability for model performance, and managing the lifecycle of AI models using tools like Terraform, GitHub Actions, and MLflow.
Senior Product Manager owning a portfolio of Data and AI products across multiple squads at Coles Group, applying ML/AI, MLOps, and retail data to drive AI-enabled transformation in a large-scale enterprise.
JOB SUMMARY: The Senior Solution Engineer is responsible for designing, configuring, and implementing customer-facing AI solutions that translate business and customer requirements into secure, scalable,…
JOB SUMMARY: The Senior Solution Architect is responsible for owning the enterprise AI architecture and providing technical leadership across AI initiatives by defining target architectures, standards, solution…
Leads an AI/Data Science team to design, build, and deploy production-grade Generative and Agentic AI solutions for an Australian enterprise, focusing on scalable, secure, and impactful implementations.
The Full Stack AI Engineer will design and deploy generative AI applications, including AI agents, RAG solutions, and document processing tools, while managing MLOps pipelines and AI governance.
We’re looking for a tech leader ready to take their career to new heights. Join the ranks of top talent at one of the world’s most influential companies. As a Senior Principal Software Engineer at JPMorganChase within…
The Full Stack AI Engineer will design and deploy enterprise-grade AI solutions, including RAG architectures and intelligent document processing, using LLMs and Azure cloud services. The role involves building scalable AI agents and pipelines while ensuring security, governance, and performance optimization.
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
This Senior Machine Learning Engineer role in the Healthcare & Life Sciences unit involves leading end-to-end AI/ML project delivery, including hands-on development of RAG pipelines, agentic workflows, and MLOps systems. The position requires deep expertise in Python, PyTorch/TensorFlow, and modern AI frameworks to build scalable, production-grade solutions.
Senior AI Engineer building Agentic AI use cases for Trading Surveillance, involving full-stack Python apps, RAG systems, vector databases, data pipelines, and multi-cloud AI infrastructure.
Solution Architect designing AI/ML solutions for enterprise clients, with hands-on engineering in Python, cloud infrastructure (Kubernetes, Docker, Terraform), and modern AI ecosystems (LangChain, Hugging Face, vector databases).
Develops AI/ML systems and predictive models for clients, focusing on LLMOps, deep learning, and software automation to transform unstructured data into actionable insights.
Leads enterprise data strategy, designs scalable pipelines, and implements AI/ML governance for Tyson Foods, focusing on real-time data, cloud platforms, and advanced data engineering.
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
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