Artificial Intelligence Engineer

Tata Consultancy ServicesGuntur, 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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