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AI Developer

Roles & Responsibilities

  • Minimum 5plus; years of experience in software development with strong expertise in Python programming.
  • Minimum 3plus; years of experience developing AI/ML or Generative AI applications using Large Language Models (LLMs).
  • Minimum 2plus; years of hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools.
  • Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or equivalent work experience.

Requirements:

  • Design and architect AI agents by defining workflows, objectives, reasoning logic, and decision-making processes.
  • Develop AI-powered applications and intelligent agent solutions using Python and modern AI frameworks such as LangChain, LlamaIndex, and OpenAI SDK.
  • Evaluate and select appropriate Large Language Models (LLMs) based on business use cases, scalability, latency, and performance requirements.
  • Integrate external APIs, databases, enterprise applications, and third-party tools into AI agent pipelines.

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Developer (REMOTE) to join our team! This is a fully remote role and can be based anywhere in Canada.

Job Responsibilities Include:
  • Design and architect AI agents by defining workflows, objectives, reasoning logic, and decision-making processes.
  • Develop AI-powered applications and intelligent agent solutions using Python and modern AI frameworks such as LangChain, LlamaIndex, and OpenAI SDK.
  • Evaluate and select appropriate Large Language Models (LLMs) based on business use cases, scalability, latency, and performance requirements.
  • Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual relevance, and token efficiency.
  • Build and implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
  • Integrate external APIs, databases, enterprise applications, and third-party tools into AI agent pipelines.
  • Develop scalable backend AI services and APIs using Python frameworks such as FastAPI and Flask.
  • Create automated test cases and validation frameworks to evaluate AI outputs for reliability, bias, hallucinations, and performance.
  • Monitor and optimize AI model performance including latency, throughput, token consumption, and infrastructure costs.
  • Implement AI governance, security controls, data privacy, guardrails, and compliance standards across AI platforms.
  • Collaborate with cross-functional teams including Data Engineering, DevOps, Product Management, and Security teams to deliver enterprise AI solutions.
  • Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, backlog grooming, demos, and retrospectives.
Basic Qualifications:
  • Minimum 5+ years of experience in software development with strong expertise in Python programming.
  • Minimum 3+ years of experience developing AI/ML or Generative AI applications using Large Language Models (LLMs).
  • Minimum 2+ years of hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar tools.
  • Minimum 3+ years of experience designing and consuming RESTful APIs and integrating third-party services.
  • Strong experience with prompt engineering, prompt tuning, and AI response optimization techniques.
  • Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures and vector database integrations.
  • Experience deploying scalable AI services using FastAPI, Flask, or similar Python-based frameworks.
  • Strong understanding of AI model evaluation, testing methodologies, bias detection, and quality assurance practices.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud for AI solution deployment and monitoring.
  • Knowledge of data privacy, AI security, governance frameworks, and responsible AI best practices.
  • Strong skills in SQL, JSON, API authentication mechanisms (OAuth, API Keys), and data integration patterns.
  • Experience working in Agile development environments with cross-functional engineering teams.
Degree:
  • Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or equivalent work experience.
#LI-NorthAmerica

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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