Artificial Intelligence Engineer

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.