Senior AI Engineer – Data Engineering | Pinecone Agentic Workflow

6 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Senior AI Engineer (AWS Architect | Node.js Backend | Data Engineering | Pinecone Agentic Workflow)


Job Summary:

highly experienced Senior Full Stack Engineer

You’ll be responsible for designing and building secure, scalable systems, driving data-driven decisions, and integrating cutting-edge AI agentic workflows using Pinecone for personalized and contextual automation. A hands-on approach to architecture, performance tuning, data modeling, and team collaboration in a Scrum environment is essential.


Key Responsibilities:

Architecture & Engineering

AWS cloud services (Lambda, API Gateway, Cognito, RDS, S3, etc.)

end-to-end backend development

relational and NoSQL databases

Pinecone vector search

Agentic AI & Pinecone

agent-based workflows

Pinecone

• Collaborate with AI engineers to support GenAI-driven product features

Data Engineering & Analytics

data pipelines

data analysis, cleansing, and transformation

• Optimize data storage, indexing, and access patterns for performance

Scrum & Team Collaboration

daily stand-ups, sprint planning, retrospectives

• Work collaboratively with frontend, AI, and product teams to deliver features on time

• Contribute to technical documentation, testing, and code reviews


Programming Languages & Technologies:

Backend:

Frontend (optional but preferred):

Cloud & DevOps:

Databases:

AI & Agentic Tools:

Data Engineering:

Other Tools:


Required Qualifications:

full stack/backend engineer

AWS architect

RDBMS/NoSQL databases

Pinecone

Data Engineer

agentic architectures

Scrum/Agile methodologies

• Excellent communication skills and ability to lead cross-functional discussions


Preferred Skills:

embedding models

frontend systems

data privacy and compliance

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