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Tata Consultancy Services
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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Tata Consultancy Services

6 years

0 Lacs

pune maharashtra india

Posted:5 hours ago| Platform:

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Skills Required

stack ai aws node.js react typescript react.js microservices azure openai design data engineering api discovery architecture scalability strategies automation deployment testing security code software development workflow storage analytics integration processing pipeline github docker etl model certification communication documentation

Work Mode

On-site

Job Type

Full Time

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

About the Role:

Senior Full Stack & AI Engineer

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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