CrawlJobs Logo

Senior AI

New Zealand, Auckland 120000.00 USD / Year · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

Join a highly specialised team of engineers and researchers building cutting-edge solutions for global e-commerce. You’ll work on complex, data-driven problems, turning advanced algorithms into scalable, production-ready systems.

Job Responsibility

  • Designing and building data pipelines and ML models
  • Developing and testing high-quality software solutions
  • Analysing and improving algorithm performance
  • Collaborating with a technical, research-driven team

Requirements

  • Strong experience with Python and machine learning frameworks
  • Background in data engineering (ETL, data models, pipelines)
  • Experience with cloud platforms (AWS), Docker, Linux, and SQL
  • Solid software engineering skills (C#, C++, or similar)
  • Degree in Computer Science, Engineering, or related field
  • Strong problem-solving mindset and communication skills

Nice to have

  • Experience with computer vision, modelling, or advanced maths (statistics, linear algebra)
  • Exposure to NoSQL or large-scale data systems

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior AI

8 matching positions

Ai Engineer Ii & Senior Ai Engineer - Getting Customers Ready For Ai

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Must pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Design, build, and improve AI-powered solutions, including machine learning models, LLM-based applications, RAG systems, and agentic workflows that solve customer and business challenges
  • Develop and operate scalable data pipelines, ETL processes, training datasets, and AI infrastructure to support model development, deployment, and lifecycle management
  • Deploy, monitor, and optimize AI systems using MLOps practices, leveraging telemetry and feedback to improve performance, reliability, security, and scalability
  • Transform large-scale, multi-source data into contextual intelligence, automation, and decision-support capabilities that drive customer and business outcomes
  • Build and integrate AI capabilities into applications, services, APIs, and platforms to deliver end-to-end customer experiences
  • Contribute to AI readiness initiatives through frameworks, metrics, telemetry, and solutions that help customers securely adopt and operationalize AI technologies
  • Demonstrate a builder mindset by rapidly prototyping, experimenting, and iterating on AI solutions while navigating ambiguity and evolving requirements
  • Partner across engineering, data science, product, and customer teams to translate complex problems into practical, AI-driven solutions
  • Write maintainable, well-tested code and contribute to engineering excellence through documentation, operational rigor, governance, and adherence to security, compliance, and Responsible AI practices
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location
Location
United States , San Francisco; New York; San Jose; Cambridge; McLean
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Senior AI Engineer (AI Agents & Applied LLMs)

We are looking for a Senior AI Engineer to design, build, and scale intelligent ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
infogrowth.in Logo
InfoGrowth
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software engineering, machine learning, or AI-related roles
  • Strong experience with Python (required)
  • familiarity with JavaScript/TypeScript is a plus
  • Hands-on experience with LLMs, prompt engineering, and AI frameworks (LangChain, LlamaIndex, etc.)
  • Experience building production-grade APIs and services
  • Knowledge of vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Solid understanding of data structures, algorithms, and system design
  • Experience deploying AI systems on cloud platforms (AWS, GCP, or Azure)
Job Responsibility
Job Responsibility
  • Design and develop AI agents capable of reasoning, planning, and executing tasks autonomously
  • Build and deploy LLM-powered applications using models such as GPT, Claude, or open-source LLMs
  • Integrate AI systems with APIs, databases, tools, and third-party services
  • Optimize prompts, workflows, and agent architectures for accuracy, performance, and cost
  • Lead end-to-end AI projects from concept to production
  • Collaborate closely with product managers, designers, and backend teams
  • Establish best practices for AI safety, evaluation, monitoring, and governance
  • Mentor junior engineers and conduct technical reviews
  • Fulltime
Read More
Arrow Right

Senior AI Engineer Vertex AI / Gemini

My client is looking for a Senior AI Engineer with proven experience delivering ...
Location
Location
Qatar , Doha
Salary
Salary:
Not provided
welovesalt.com Logo
Salt
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Vertex AI and Gemini Enterprise AI Platform
  • Delivered 2-3+ AI use cases to production using the Google AI stack
  • Experience building and deploying RAG (Retrieval-Augmented Generation) solutions
  • Multi-agent AI systems
  • Strong Python and cloud engineering skills
  • Experience with vector databases, embeddings, prompt engineering, and AI orchestration frameworks
  • Excellent English communication skills
Job Responsibility
Job Responsibility
  • Deliver production-grade AI solutions on Google Cloud Platform (GCP)
  • Build and deploy RAG solutions
  • Build and deploy multi-agent AI systems
  • Fulltime
Read More
Arrow Right

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...
Location
Location
United States
Salary
Salary:
Not provided
zeektek.com Logo
Zeektek
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software engineering, data engineering, or AI/ML engineering
  • Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
  • Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
  • Strong programming skills in Python
  • Experience working with large datasets and distributed data platforms
  • Familiarity with Databricks or similar modern data platforms
  • Experience building production-grade AI systems (not just POCs)
  • Strong understanding of prompt engineering and LLM optimization techniques
Job Responsibility
Job Responsibility
  • Design and build agentic AI systems leveraging large language models (LLMs)
  • Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
  • Translate business problems into production-ready AI workflows and applications
  • Collaborate with product and architecture teams to define AI use cases and technical approaches
  • Implement and optimize: Prompt engineering strategies
  • Token usage and cost efficiency
  • Model performance and response quality
  • Work with large-scale datasets to support training, fine-tuning, and inference workflows
  • Contribute to the development of AI engineering standards, frameworks, and best practices
  • Partner with data science teams to integrate models into production environments
What we offer
What we offer
  • Weekly Direct Deposit
  • 401K Matching
  • Competitive medical, dental and vision insurance
  • Consistent communication throughout your project
  • ZeekTek Referral Program
Read More
Arrow Right

Senior AI Engineer (Agentic AI)

High-autonomy role focused on the deployment, maintenance, and evolutionary scal...
Location
Location
Singapore , Singapore
Salary
Salary:
8000.00 - 9000.00 SGD / Month
https://www.randstad.com Logo
Randstad
Expiration Date
July 27, 2026
Flip Icon
Requirements
Requirements
  • At least 5 years of experience in machine learning, system deployment, or semiconductor automation
  • Proven expertise in GenAI workflows, including prompt engineering, PEFT/LoRA fine-tuning, RAG, and multi-agent frameworks
  • Technical proficiency in Python and libraries such as PyTorch, TensorFlow, and OpenCV is required
  • Strong understanding of SQL, big data architectures, Git, Docker, and cloud platforms like AWS, Azure, or GCP
Job Responsibility
Job Responsibility
  • Lead the design, deployment, and integration of autonomous AI systems for multi-step reasoning and automated workflows within the fab ecosystem
  • Monitor production performance, manage retraining pipelines, and address data drift or anomalies
  • Fine-tune LLMs and computer vision frameworks using equipment metadata for failure triage, yield assistance, and hardware accuracy
  • Partner with IT to orchestrate scalable SQL/Big Data pipelines while ensuring strict data governance
  • Provide architectural guidance and mentorship on scaling and deploying robust AI/ML systems
Read More
Arrow Right

Senior AI Scientist (Agentic AI)

We are on a lookout for a hands-on Senior AI Scientist (Agentic AI) to join the ...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
deliveryhero.com Logo
Delivery Hero
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of experience in applied AI/ML engineering with real-world deployments
  • Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack
  • Deep knowledge of RAG, LLM mechanics, prompt design, and chaining
  • Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models
  • You take ownership
  • You move fast but don't cut corners
  • You believe working code beats perfect plans
Job Responsibility
Job Responsibility
  • Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks
  • Build and optimize RAG pipelines
  • Design self-evolving prompt systems and dynamic decision flows driven by LLMs
  • Develop APIs and services that let models talk to tools, data, and other systems
  • Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents
  • Work cross-functionally with product and engineering teams to ship AI-native features
What we offer
What we offer
  • Hybrid working model with 2 days per week in Berlin campus
  • 27 days holiday with an extra day on 2nd and 3rd year of service
  • 1.000 € Educational Budget
  • Language Courses
  • Parental Support
  • Access to Udemy Business platform
  • Health Checkups
  • Meditation
  • Gym & Bicycle Subsidy
  • Employee Share Purchase Plan
  • Fulltime
Read More
Arrow Right

Senior AI Engineer - MSC AI Innovation

MSC AI Innovation is an AI-first team that incubates, builds, and accelerates so...
Location
Location
Israel , Tel Aviv, Herzliya
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years professional software development
  • 4+ years of software engineering experience in the AI space (e.g., building and shipping AI/ML or GenAI features in production)
  • Proven experience with building AI agents
  • Hands-on experience with evaluation methodologies and integrating quality standards/guardrails into delivery
  • Proficiency in Python and/or C#, with experience using REST APIs and SDKs
  • Deep understanding of AI system design, including ML fundamentals, Generative AI concepts, and cloud-native architectures
Job Responsibility
Job Responsibility
  • Design and build AI agents that plan, use tools/APIs, manage state/memory, and reliably complete multi-step workflows
  • Own AI features from design through production, including deployment, monitoring, and live‑site reliability, with an eval-first development lifecycle: define success criteria, build evaluation datasets and automated harnesses, and run human-in-the-loop reviews where needed
  • Develop and maintain prompt, retrieval, and memory strategies (system prompts, few-shot examples, tool schemas, retrieval context) with proper versioning and evaluation coverage
  • Debug AI behavior using prompt analysis, data inspection, and model/tool-call traces, and translate failure patterns into targeted improvements
  • Establish and track AI quality metrics (e.g., accuracy, groundedness, relevance, hallucination rate) and integrate them into CI/CD release gates
  • Optimize runtime performance and economics (token usage, inference cost, latency, caching, model selection/routing, batching) and implement monitoring and continuous improvement loops (online signals, drift detection, structured user feedback)
  • Partner with product, design, and domain stakeholders to define use cases, acceptance criteria, and rollout plans for AI features
  • Live site responsibility
  • Fulltime
Read More
Arrow Right