RAG-Driven AI Full-Stack Engineer for Enterprise Apps

Tata Consultancy Services

Boston (MA)

On-site

USD 120,000 - 145,000

Full time

7 days ago
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Benefits offered by this job

Discretionary Annual Incentive
Comprehensive Medical Coverage
Certification & Training Reimbursement
Time Off: Vacation & Holidays

Job summary

Tata Consultancy Services is seeking a skilled AI engineer to build AI-powered applications and agentic workflows. You will develop RAG-based knowledge, search, and document intelligence solutions while designing backend services, APIs, and integration components with enterprise data platforms.

The role covers data pipelines, AI workflows, and delivering scalable production-ready AI solutions using Azure OpenAI and related frameworks. Strong Python and data integration expertise required.

Qualifications

  • BACHELOR OF COMPUTER SCIENCE.
  • Experience with RAG, vector databases, and prompt engineering.
  • Proficiency in Python and data integration tools.
  • Designing enterprise APIs and microservices.

Responsibilities

  • Build AI-powered applications and agentic workflows.
  • Develop RAG-based knowledge, search, and document intelligence solutions.
  • Design and develop backend services, APIs, and integration components.
  • Integrate AI solutions with enterprise data platforms and business applications.
  • Develop data pipelines and AI workflows.
  • Deliver scalable, production-ready AI solutions.

Skills

RAG & vector DBs
Prompt Engineering
Agentic AI Frameworks
Python
Data Integration
APIs / Microservices

Education

Bachelor of Computer Science

Tools

Databricks
Snowflake Cortex / Cortex Agents
Azure ML
MLOps / Model Monitoring
React/Angular

Job description

Tata Consultancy Services is seeking a skilled AI engineer to build AI-powered applications and agentic workflows. You will develop RAG-based knowledge, search, and document intelligence solutions while designing backend services, APIs, and integration components with enterprise data platforms.

The role covers data pipelines, AI workflows, and delivering scalable production-ready AI solutions using Azure OpenAI and related frameworks. Strong Python and data integration expertise required.

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