Artificial intelligence engineer

3 weeks ago

Jodhpur, India Tata Consultancy Services Full time

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 (Type Script), 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 Open AI, and IBM Watsonx . Key Responsibilities: Design, develop, and maintain scalable microservice-based applications using Node.js (Type Script) 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 Open AI 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 Type Script . 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 Open AI 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 (Git Hub 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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