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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Tata Consultancy ServicesGulbarga, IN
30+ days ago
Job description

Greetings from TCS!

Job Title : Artificial Intelligence Engineer

Required Skillset : Senior Full Stack & AI Engineer (AWS | Node.js | React | LLM | Cloud AI)

Location : Delhi / Bangalore / Hyderabad / Pune / Mumbai

Experience Range : 6-8 years

Job Description : About the Role :

We are looking for an experienced Senior Full Stack & AI Engineer with strong expertise in AWS Cloud, Node.js (TypeScript), React.js, and modern AI / LLM technologies . The ideal candidate will have hands-on experience designing scalable microservices, integrating AI models, and deploying enterprise-grade applications using cloud platforms such as AWS, Azure OpenAI, and IBM Watsonx .

Key Responsibilities :

  • Design, develop, and maintain scalable microservice-based applications using Node.js (TypeScript) and React.js .
  • Build and deploy data engineering workflows using Python and integrate data pipelines with Snowflake .
  • Architect and implement end-to-end cloud solutions leveraging AWS services (Lambda, Step Function, Cloud Formation, ECS, S3, API Gateway, etc.).
  • Work with NLP and LLM-based systems , integrating models via Azure OpenAI and IBM Watsonx platforms ( Watsonx.AI Studio, Watson Discovery, Watsonx Assistant).
  • Develop and fine-tune prompt engineering solutions for generative AI and conversational systems.
  • Collaborate with cross-functional teams to define system architecture, scalability, and performance strategies.
  • Implement CI / CD pipelines and maintain automation for continuous deployment and testing.
  • Ensure best practices in security, performance, and code quality across all services.

Required Skills & Experience :

  • 5+ years of hands-on experience in software development with AWS Cloud as the primary platform.
  • Strong proficiency in Node.js and TypeScript .
  • Frontend development experience using React.js .
  • Working knowledge of Python for data engineering tasks and workflow automation.
  • Experience with Snowflake for data storage and analytics integration.
  • Deep understanding of Microservice Architecture and RESTful APIs.
  • Practical exposure to Natural Language Processing (NLP) and Large Language Models (LLMs) .
  • Experience working with Azure OpenAI services and IBM Cloud Watsonx (AI Studio, Discovery, Assistant).
  • Good understanding of Prompt Engineering concepts and LLM-driven application design.
  • Strong background in software architecture design and CI / CD pipeline management (GitHub Actions).
  • Preferred Qualifications

  • Experience with containerization (Docker).
  • Familiarity with data integration tools and ETL workflows .
  • Exposure to Generative AI and custom model deployment .
  • Certification in AWS Solutions Architect , Azure AI Engineer , or IBM Watsonx AI is a plus.
  • Soft Skills

  • Strong analytical and problem-solving abilities.
  • Excellent communication and documentation skills.
  • Ability to work independently and lead technical discussions.
  • Passion for innovation and emerging AI technologies.
  • Thanks & Regards,

    Ria Aarthi A.

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