AI Engineer
- Optimize model inference for production environments (e.g., using TensorRT, ONNX, pruning, quantization).
30+ days
5,000+ Ai Technician Jobs - November 2026 - High Salaries - Page 26
Showing 5,507 jobs results for
"ai technician"
Risk Services - AI Factory (AI Engineer), Associate - Senior Associate - Assistant Manager
- Deploy to cloud (AWS/Azure/GCP); monitor performance and drive continuous improvement.
29 days
- Develop AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to enhance engineering productivity and operational decision-making.
30+ days
Senior AI Engineer
- Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
30+ days
AI Engineer
- Build evaluation pipelines and instrumentation to continuously measure and improve agent accuracy, latency, and reliability in production.
30+ days
Lead AI Engineer
- Model Deployment and Integration: You will oversee deploying these AI models into production environments and integrating them seamlessly with applications (in partnership with software and data engineers).
30+ days
- Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
30+ days
Senior AI Engineer - Banking
- Build and optimise large-scale ML pipelines for training, evaluation, and inference
30+ days
Intern, AI Engineer
- Assist in conducting data and AI workshops/ trainings to cultivate JP staffs in using analytical and AI tools for operations and planning.
30+ days
- Who gets access, how it stays secure, and who looks after it once we hand it over
30+ days
AI Engineering Graduate Talent Trainee
- Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
30+ days
AI Engineering Graduate Talent Trainee
- Kubernetes Service Platform Development of managed Kubernetes services with GPU-native orchestration, intelligent scheduling, distributed workload management, cluster lifecycle management, observability, resource isolation, and support for large-scale AI training and inference workloads
30+ days
- Set up robot operating areas, controllers, networking and other required peripherals.
30+ days
- Infrastructure & Performance Optimization: Manage and optimize GPU/accelerator infrastructure (on cloud platforms like AWS, Azure, GCP or on-prem NVIDIA clusters) to support high-performance model training and inference. Drive token efficiency, latency reduction, and cost optimization in AI pipelines (through techniques like model quantization, batching, and caching).
30+ days
- Mentor junior AI engineers, set best practices for prompt engineering, RAG pipelines, and agent evaluation, and help build reusable AI infrastructure for the broader team.
30+ days
Associate AI Engineer - Data Scientist
- Collaborate with audit, risk, technology and innovation teams to understand requirements, clarify problem statements and convert ideas into workable proof-of-concepts or production-ready components.
30+ days
30+ days
- Multimodal risk & identity intelligence — fusing visual, behavioral, and contextual signals into identity-quality and trust signals.
30+ days
Senior Python AI Engineer
- Support production deployment and industrialization of AI models
30+ days
- Engineer agent prompting and context management systems: system prompt architecture, dynamic context construction, prompt versioning, and evaluation-driven prompt optimisation using automated and human evaluation frameworks.
30+ days
Gen AI Engineer - Banking
- Text-to-SQL over a semantic layer; conversational retrieval of reports and KPIs
30+ days
30+ days
Junior AI Engineer
- Support the development of chatbots, RAG applications, AI agents and workflow automations.
30+ days
Senior AI Engineer- #AIDA
- Enhance and maintain user interfaces for usability and continuous improvement.
30+ days
Senior Software Engineer (AI Engineering)
- Work with data scientists, product engineers and users to enable new AI capabilities
30+ days
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
30+ days
30+ days
30+ days
- Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
30+ days
30+ days