Artificial Intelligence Engineer

8 hours ago

Bikaner, 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 (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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