5,000+ Ai Engineer Jobs - October 2026 - High Salaries - Page 21

Showing 6,223 jobs results for "ai engineer"
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OMIO TRAVEL SINGAPORE PTE. LTD.

River Valley

Posted
25 days ago

OMIO TRAVEL SINGAPORE PTE. LTD.

Singapore

  • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders.
  • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption.
  • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders. ...
Posted
25 days ago

APBA TG HUMAN RESOURCE PTE. LTD.

Singapore

  • Support SMEs in defining ground truth benchmarks for evaluation.
  • Profile and clean sample datasets for experimentation (lightweight data prep).
  • Build and test simple pipelines for data ingestion, prompt construction, and output evaluation. ...
Posted
25 days ago

Singapore

  • • Design, build, deploy, and optimise AI/ML solutions for real-world business challenges.
  • • Partner directly with global clients across APAC and international markets.
  • • Develop scalable data pipelines, cloud platforms, and MLOps workflows. ...
Posted
21 days ago

Internal Security Department

Singapore

  • Lead projects, mentor juniors, make technical decisions, and/or formulate strategiesWhat we offer:
  • Opportunities for advanced training and professional development, including attending leading overseas conferences and courses
  • A collaborative and dynamic work environment with a team of highly technical and motivated colleagues ...
Posted
24 days ago

Singapore

  • Integrate the digital stack. Connect models and AI services with enterprise platforms, data sources, workflow systems, user interfaces and upstream or downstream applications.
  • Engineer for trust. Implement automated testing, evaluation, monitoring, guardrails, security controls, human review and fallback paths to manage accuracy and failure modes.
  • Operate what you build. Monitor performance, reliability, latency and cost; troubleshoot issues and improve solutions after deployment. ...
Posted
a month ago

Singapore

  • AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.
  • AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.
  • AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness. ...
Posted
4 days ago

Ministry Of Defence Of Singapore

Singapore

  • Oversee the knowledge management efforts of codes and algorithm so as to enable code reusability and efficiently
  • Test and recommend new AI/ ML solutioning so as to support current and future possible use cases and oversee the curation of skills and courses suitable based on the jobs-skills-proficiency maps, and assessment rubrics
  • Build collaboration and partnerships by keeping abreast of the latest advancements in AI and ML technology so as to proactively identify, initiate and promulgate worthwhile engineering projects that could be maximise in similar use cases across the SAF ...
Posted
22 days ago

Singapore

  • Setting your team's goals, success metrics, and roadmap to align with company goals
  • Delivering measurable results for sophisticated products under ambiguous situations in a fast-paced environment
  • Experience developing and launching AI products/features from scratch ...
Posted
a month ago

Singapore

  • Build the agentic-security surface. Partner on red-teaming and adversarial evaluation - tool-chain exploits, RBAC and permission-inheritance failures, multi-turn safety erosion - so we catch what a motivated adversary would.
  • Close the lab-to-production gap. Design evaluations that surface where agents that look good in a demo fail in a real, customer-specific deployment - the gap that makes independent assurance necessary.
  • Translate governance into engineering. Work with our governance analysts to turn EU AI Act, NIST AI RMF, and ISO 42001 requirements into concrete, testable evaluation logic. ...
Posted
4 days ago

Singapore

  • Develop backend services and APIs primarily using Python.
  • Work with Azure AI Search, Microsoft Fabric and related Azure services.
  • Support model testing, evaluation, monitoring and production deployment. ...
Posted
13 hours ago

Singapore

  • Make technical decisions and contribute to system design with attention to performance, cost and reliability.
  • Collaborate with product managers, designers and data scientists to turn business needs into practical solutions.
  • Share knowledge and mentor junior team members, helping them grow their technical skills. ...
Posted
a month ago

Singapore

  • Drive the development of GenAI and Agentic AI solutions, including RAG, AI agents, workflow orchestration and intelligent automation.
  • Provide technical leadership across solution architecture, model development, data pipelines and AI system design.
  • Establish strong engineering practices around MLOps, LLMOps, deployment, monitoring and continuous improvement. ...
Posted
15 days ago

Singapore

  • Build and optimise large-scale ML pipelines for training, evaluation, and inference
  • Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics
  • Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance ...
Posted
19 days ago

Outram

Posted
14 days ago

KL City

  • Establish best practices for AI engineering, MLOps, governance, monitoring, and responsible AI implementation.
  • Design and implement AI-powered applications, APIs, and services using modern software engineering practices.
  • Develop and deploy generative AI, and agentic AI solutions for business and customer-facing use cases. ...
Posted
22 days ago

台灣

Posted
16 days ago

Singapore

  • Large-Scale Data Engineering Development
  • Design and build efficient data processing pipelines for multi-step cleaning, transformation, annotation, and feature engineering of massive raw data;
  • Ensure data quality and consistency to support high-speed data supply demands for algorithm R&D. ...
Posted
22 days ago

Singapore

  • Integrate the digital stack. Connect models and AI services with enterprise platforms, data sources, workflow systems, user interfaces and upstream or downstream applications.
  • Engineer for trust. Implement automated testing, evaluation, monitoring, guardrails, security controls, human review and fallback paths to manage accuracy and failure modes.
  • Operate what you build. Monitor performance, reliability, latency and cost; troubleshoot issues and improve solutions after deployment. ...
Posted
a month ago

Singapore

  • Integrate LLMs with enterprise platforms, data sources, and business systems
  • Implement AI observability, governance, evaluation, security, and monitoring capabilities
  • Partner with domain SMEs to translate business requirements into scalable AI solutions ...
Posted
3 days ago

Singapore

  • Connect products with CAD tools and enterprise systems through APIs and structured data exchange.
  • Translate drawing and model features into structured manufacturing requirements.
  • Build industrial knowledge systems covering materials, equipment, machining methods, tooling, inspection, and standards. ...
Posted
a month ago

Singapore

  • Expertise in AI Engineering, LLMs, Agent Frameworks, RAG, Python, and Cloud-Native Development
  • Enterprise Software Architecture
  • Data Engineering & MLOps ...
Posted
4 days ago

Singapore

  • Knowledge of Data Structures & Algorithms
  • Understanding of REST APIs and web technologies
  • Basic knowledge of AI/ML concepts, LLMs, and Prompt Engineering ...
Posted
4 days ago

Singapore

  • Expertise in AI Engineering, LLMs, Agent Frameworks, RAG, Python, and Cloud-Native Development
  • Enterprise Software Architecture
  • Data Engineering & MLOps ...
Posted
4 days ago

Singapore

  • Knowledge of Data Structures & Algorithms
  • Understanding of REST APIs and web technologies
  • Basic knowledge of AI/ML concepts, LLMs, and Prompt Engineering ...
Posted
4 days ago

Singapore

  • Knowledge of Data Structures & Algorithms
  • Understanding of REST APIs and web technologies
  • Basic knowledge of AI/ML concepts, LLMs, and Prompt Engineering ...
Posted
4 days ago

Singapore

  • You’ll partner closely with senior business stakeholders, data and technology teams, while also mentoring and raising the technical capabilities of more junior team members
  • What we’re looking for:
  • • 7+ years’ experience in Data Science / Machine Learning / Applied AI ...
Posted
14 days ago

Singapore

  • Integrate AI agents with devices, internal systems, databases, APIs, document repositories, and third-party services.
  • Evaluate and apply appropriate technologies, including LLMs, speech models, vector databases, retrieval methods, knowledge graphs, and agent frameworks.
  • Define and implement evaluation methods for retrieval quality, response accuracy, faithfulness, task completion, latency, reliability, and safety. ...
Posted
6 days ago
  • Design scalable, secure AI solutions using context engineering, RAG, MCP, and agent-based frameworks, aligned with enterprise governance standards
  • Hands-on Python experience paired with practical knowledge of Generative AI models, Prompt Engineering, and applied AI use cases (essential)
  • Familiarity with AI workflow tooling, including LangChain and Google ADK, would be a significant bonus ...
Posted
20 days ago

Singapore

  • Participate in Agile and secure software development processes, including requirements gathering, technical documentation, coding and testing.
  • Develop, implement and validate AI algorithms while considering factors such as transparency, fairness, scalability, security, integration complexity and operational costs.
  • Develop and deploy AI Agents, Retrieval-Augmented Generation (RAG) solutions and applications using vector or graph databases. ...
Posted
9 days ago