- Integrate enterprise applications through authenticated APIs and MCP where appropriate, selecting deterministic workflows, agents or conventional ML based on the problem.
1 day
5,000+ Ai Engineer Jobs - October 2026 - High Salaries - Page 29
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"ai engineer"
- Integrate enterprise applications through authenticated APIs and MCP where appropriate, selecting deterministic workflows, agents or conventional ML based on the problem.
Today
Internship – AI Engineering - Analytics
6 days
Internship – AI Engineering - Analytics
- Agentic AI Development: Design and prototype autonomous “agentic” systems capable of analyzing production logs, diagnosing anomalies, and recommending corrective actions to engineers.
6 days
22 days
- Optimize model inference for production environments (e.g., using TensorRT, ONNX, pruning, quantization).
30+ days
Technical Lead, Materials AI - Engineering
- Data & Search Engineering
11 days
Technical Lead, Materials AI - Engineering
- Production excellence: Set engineering standards for system design, testing, deployment and observability. Drive improvements in reliability, performance and cost, including the evaluation and productionisation of AI applications.
11 days
11 days
- Production excellence: Set engineering standards for system design, testing, deployment and observability. Drive improvements in reliability, performance and cost, including the evaluation and productionisation of AI applications.
11 days
Internship AI Engineering
- Assist in building and improving AI workflows and automation to streamline repetitive tasks and improve productivity.
25 days
AI Engineer - Hybrid - Work from Home
- Build RAG and knowledge-based AI applications.
30+ days
- Strong Python skills; C/C++ or Go experience is a plus.
6 days
AI Engineering (Assistant Manager) – AIOps
- Work with modern data platforms such as Databricks to develop and operationalise AI and data solutions.
11 days
- Build and maintain CI/CD pipelines for machine learning solutions, enabling automated testing, packaging, deployment, and environment management.
30+ days
26 days
- Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
30+ days
Senior Full Stack AI Engineer
- Contribute to cloud infrastructure, CI/CD pipelines, observability and deployment practices across Azure and AWS environments while working closely with Product, UX and Engineering teams to solve customer problems.
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
- Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
30+ days
AI Engineering Lead
- Collaborate with cross-functional teams to integrate AI technology into existing systems.
28 days
Head of AI Engineering - Platforms
- Provide senior technical direction on model, platform, infrastructure and system architecture decisions.
25 days
Senior Solution Architect, AI Engineering, ASEAN Tech
- Drive measurable outcomes: solutions deployed, workloads in production, engineering hours saved, and business value realized.
10 days
- Establishing AI engineering best practices covering MLOps, LLMOps, AgentOps, governance, and observability.
25 days
Intern (TGI - Machine Learning- AI Engineering)
- Track experiments, results and computational performance, and evaluate solutions for accuracy, reliability and practical usefulness.
17 days
Risk Services - AI Factory (AI Engineer), Associate - Senior Associate - Assistant Manager
- Deploy to cloud (AWS/Azure/GCP); monitor performance and drive continuous improvement.
30+ days
- Implement 3D sensor models (LiDAR, depth cameras, IMUs) with realistic noise profiles
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
- Work with engineering teams to identify pain points and ship AI-driven solutions
30+ days
- Embed with engineering teams to uncover bottlenecks and ship AI-driven solutions that remove real friction
30+ days