CrawlJobs Logo
NTT DATA Logo NTT DATA · IT - Software Development

Generative AI Engineer

Vietnam, Ho Chi Minh City · Job Posted April 23, 2026
Apply Position
Job Link Share

Job Description

Join NTT DATA as a Generative AI Engineer, where you will design, build, and deploy advanced agentic applications. This role requires proficiency in Python, experience with cloud platforms like Azure and AWS, and a deep understanding of Large Language Models. You will collaborate with cross-functional teams and stay at the forefront of Generative AI research.

Job Responsibility

  • Design and implement autonomous agents and multi agent systems that can reason, plan, and execute complex tasks
  • Create robust tools and interfaces that allow agents to interact effectively with external APIs, databases, and software environments
  • Architect scalable and reliable multi-agent systems, ensuring efficient communication and coordination between agents
  • Develop, test, and optimize advanced prompts to guide LLM behavior, ensuring high accuracy and reliability in agent outputs
  • Deploy, monitor, and maintain AI and agentic applications on cloud platforms (Azure/AWS), focusing on scalability, latency, and cost-optimization
  • Work closely with cross-functional teams to integrate agentic solutions into broader product ecosystems
  • Stay at the forefront of Generative AI research, experimenting with new frameworks and techniques to drive continuous improvement

Requirements

  • Programming: Proficiency in Python is essential. Experience with asynchronous programming and API development (FastAPI/Flask)
  • Generative AI & LLMs: Deep understanding of Large Language Models (LLMs), their capabilities, limitations, and tuning techniques (RAG, fine-tuning)
  • Agent Frameworks: Hands-on experience with modern agent frameworks
  • Strong experience with Azure / AWS / GCP ecosystems
  • Deployment: Expertise in deploying AI applications using containerization (Docker, Kubernetes) and serverless technologies (Azure Functions, AWS Lambda, GCP Cloud Run)
  • MLOps/LLMOps: Familiarity with pipelines for evaluating, monitoring, and managing the lifecycle of LLM-based applications
NTT DATA - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Generative AI Engineer

8 matching positions

Generative Ai Engineer

We have an immediate opening for a Sr. AI engineer with 5+ years of professional...
Location
Location
United States , Bridgewater
Salary
Salary:
75000.00 - 90000.00 USD / Year
invonto.com Logo
Invonto
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A degree in computer science, engineering, robotics, or relevant field from a reputed US college
  • Minimum 5 years of professional programming experience creating production ready AI solutions
  • US Citizenship or Permanent Residency is required
  • Experience creating datasets and algorithmic modeling
  • Experience creating conversational AI solutions using open weight LLM
  • Experience with real-time object detection, segmentation, and pattern development using machine learning
  • 5+ years of experience with Python programming, Postgres database, and API development
  • Experience with PyTorch and Tensorflow
  • Experience deploying applications on AWS
  • Must be able to perform independently or in a small team
What we offer
What we offer
  • healthcare
  • paid time off
  • Fulltime
Read More
Arrow Right

Generative Ai Engineer

Location
Location
United States , Bridgewater
Salary
Salary:
75000.00 - 90000.00 USD / Year
invonto.com Logo
Invonto
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A degree in computer science, engineering, robotics, or relevant field from a reputed US college
  • Minimum 5 years of professional programming experience creating production ready AI solutions
  • US Citizenship or Permanent Residency is required
  • Experience creating datasets and algorithmic modeling
  • Experience creating conversational AI solutions using open weight LLM
  • Experience with real-time object detection, segmentation, and pattern development using machine learning
  • 5+ years of experience with Python programming, Postgres database, and API development
  • Experience with PyTorch and Tensorflow
  • Experience deploying applications on AWS
  • Must be able to perform independently or in a small team
What we offer
What we offer
  • healthcare
  • paid time off
  • Fulltime
Read More
Arrow Right

Generative AI Engineer

A leading European private credit manager is seeking an experienced AI Engineer ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience with C# and/or Python
  • Cloud platform experience, ideally within the Azure ecosystem
  • Experience working with LLMs and AI integrations (Azure OpenAI, OpenAI, Anthropic, Claude, etc.)
  • Ability to interact with, cleanse, and structure data end-to-end
Job Responsibility
Job Responsibility
  • Serve as the designated AI engineering lead responsible for productionising AI POCs
  • Develop and fine-tune LLM-based solutions (e.g. RAG, prompt engineering, embeddings, vector search)
  • Collaborate closely with investment professionals and technology teams to translate concepts into deployable solutions
  • Build and integrate AI-driven applications across portfolio management, credit, and origination workflows
  • Work with data end-to-end: ingestion, cleansing, structuring, and deployment
  • Fulltime
Read More
Arrow Right

Generative AI Engineer

I’m currently partnering with a client who is looking to engage experienced cont...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
formularecruitment.co.uk Logo
Formula Recruitment
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on delivery of AI agents using AWS Bedrock (Agents, Knowledge Bases, and model integrations)
  • Implementing tool calling and API orchestration within agent workflows
  • Building RAG pipelines grounded in enterprise data
  • Designing memory and state management across multi-step interactions
  • Orchestrating reliable, multi-step agent workflows (e.g. Lambda, Step Functions, event-driven patterns)
  • Ensuring security, governance, and observability in production deployments
  • Proven experience shipping agentic systems into production, not just experimentation or prototypes
  • Strong AWS engineering background across serverless, data, and security patterns
  • Ability to translate real business problems into robust AI agent architectures
Job Responsibility
Job Responsibility
  • Help design and deliver production-grade AI agents on AWS Bedrock
Read More
Arrow Right

Generative AI Engineer

At ResMed, we’re shaping the future of digital health and medical technology — a...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
resmed.com Logo
ResMed
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years of software engineering, with hands-on experience developing and deploying generative AI solutions
  • Relevant Engineering or Science degrees (Software, Computer)
  • Proficiency in .NET, AWS serverless (Lambda, API Gateway), data analytics (Glue, Athena), and AI frameworks (PyTorch, Hugging Face)
  • Familiarity with multi-agent systems, model fine-tuning, and building data flywheels
  • Strong product sense, ability to engage stakeholders directly, and communication skills that make complex concepts clear
  • Ability to design AI systems that are not just powerful but practical, measurable, and safe
Job Responsibility
Job Responsibility
  • Build Next-Gen AI Workflows: Design and deploy Generative AI solutions that eliminate repetitive work, boost efficiency, and free teams to focus on what matters most
  • Modernize Systems: Bring cutting-edge AI into ResMed’s tech stack — from fine-tuning LLMs with data flywheels to integrating with MCP servers
  • Spot High-Value AI Opportunities: Identify the projects where AI will deliver the most impact, balancing customer needs, cost, and scalability
  • Partner with Experts: Work side-by-side with engineers, QA teams, and regulatory specialists to translate business needs into technical solutions
  • Engineer for Scale: Optimize AWS serverless infrastructure and analytics pipelines to keep workflows secure, scalable, and cost-effective
  • Innovate & Iterate: Take ownership of projects end-to-end, adapt quickly based on feedback, and help teammates succeed along the way
  • Fulltime
Read More
Arrow Right

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...
Location
Location
United States , Boston
Salary
Salary:
Not provided
hbs.edu Logo
HBS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of seven years’ post-secondary education or relevant work experience
  • A bachelor's degree in computer science, data science, or a related field is required
  • Strong proficiency in programming languages such as Python and Java
  • Experience with AI frameworks like TensorFlow and PyTorch
  • Strong analytical and logical thinking skills to tackle complex problems
  • Ability to work effectively with cross-functional teams
  • Familiarity with cloud platforms is often beneficial
Job Responsibility
Job Responsibility
  • Lead comprehensive applications/web development for highly complex projects
  • Deliver strategic and expert coding
  • focus on overarching development strategy for a large, complex, multi-faceted application
  • May manage a number of projects simultaneously
  • Design, develop, and deploy state-of-the-art generative AI models
  • Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
  • Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
  • Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
  • Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
  • Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement
What we offer
What we offer
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks
Read More
Arrow Right

Applied AI Engineer – Generative AI

Kodiak is redefining what AI can do in autonomy, and generative models play a cr...
Location
Location
United States , Mountain View
Salary
Salary:
150000.00 - 250000.00 USD / Year
kodiak.ai Logo
Kodiak Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS, MS, or PhD in AI, Computer Science, or a related field, or at least 2-3 years of industry experience
  • Experience with diffusion models, autoregressive learning, or generative AI methods
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Strong understanding of uncertainty modeling and self-supervised learning
  • Passion for building AI that continuously adapts and learns
Job Responsibility
Job Responsibility
  • Develop generative models that enhance adaptability and improve AI robustness
  • Research and implement diffusion-based, autoregressive, and variational techniques for real-world AI applications
  • Apply generative methods to anticipate challenges and reinforce decision-making
  • Build self-improving AI pipelines that continuously refine model understanding
  • Optimize models for efficient, scalable, and interpretable AI decision-making
What we offer
What we offer
  • Competitive compensation package including equity and biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
  • Flexible PTO and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)
  • Fulltime
Read More
Arrow Right

Ai / Generative Ai Engineer - Agentic Systems & Platforms

We are seeking an AI / Generative AI Engineer to design and build production‑gra...
Location
Location
India , Pune
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python and backend engineering expertise
  • Experienced in building and deploying LLM‑based applications, RAG systems, and agentic workflows
  • Comfortable working with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
  • Knowledgeable in data engineering concepts, including data pipelines and vector databases
  • Experienced with at least one major cloud platform (Azure, AWS, or GCP)
  • Familiar with containerisation and deployment using Docker and Kubernetes
  • Able to collaborate effectively in cross‑functional teams and communicate technical concepts clearly
  • Committed to secure, ethical, and responsible use of AI technologies
Job Responsibility
Job Responsibility
  • Build LLM‑based copilots and intelligent assistants for enterprise use cases
  • Design and implement Retrieval‑Augmented Generation (RAG) solutions using structured and unstructured data
  • Develop and orchestrate multi‑agent workflows using modern frameworks and orchestration logic
  • Create and maintain backend APIs using Python frameworks such as FastAPI or Flask
  • Integrate enterprise platforms and external APIs into scalable AI solutions
  • Build data pipelines for ingestion, transformation, and embedding workflows
  • Implement and manage vector databases, ensuring performance and reliability
  • Establish evaluation frameworks to assess LLM output quality and relevance
  • Implement observability practices including tracing, logging, and monitoring
  • Apply software engineering best practices including modular code design, testing, documentation, and CI/CD pipelines
What we offer
What we offer
  • Opportunities to work on cutting‑edge, enterprise‑scale AI systems
  • Exposure to complex, real‑world use cases with measurable business impact
  • A collaborative environment that supports continuous learning and growth
  • Competitive salary and access to Vodafone’s global career development ecosystem
Read More
Arrow Right