Senior AI Engineer – Full Stack | AWS Architect | Pinecone Agentic AI Specialist

Senior AI Engineer – Full Stack | AWS Architect | Pinecone Agentic AI Specialist

Job Summary:

We are seeking a highly experienced Senior Full Stack Engineer with a

multidisciplinary background to join our team. The ideal candidate will serve in

multiple capacities—as an AWS Solutions Architect, Backend Developer

(Node.js), Database Engineer, and Data Analyst/Engineer—and will bring deep

expertise in agentic AI workflows and Pinecone vector databases.

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

• Architect and develop scalable solutions using AWS cloud services (Lambda,

API Gateway, Cognito, RDS, S3, etc.)

• Lead the end-to-end backend development using Node.js (REST APIs,

microservices)

• Build and optimize relational and NoSQL databases (PostgreSQL, DynamoDB,

etc.)

• Integrate Pinecone vector search with agentic workflows for semantic search,

AI decisioning, and personalization

Agentic AI & Pinecone

• Implement and optimize agent-based workflows using orchestration tools (e.g.,

LangGraph, LangChain, custom DAGs)

• Leverage Pinecone for retrieval-augmented generation (RAG), embedding search,

and LLM context enrichment

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

Data Engineering & Analytics

• Build and maintain data pipelines for structured/unstructured data (ETL/ELT)

• Perform data analysis, cleansing, and transformation to support business

insights

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

Scrum & Team Collaboration

• Participate in 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: Node.js (JavaScript/TypeScript), Python (for scripting and AI integration)

• Frontend (optional but preferred): React, Next.js

• Cloud & DevOps: AWS (Lambda, Cognito, API Gateway, RDS, DynamoDB, S3,

IAM, VPC), Docker, Git, CI/CD tools

• Databases: PostgreSQL, DynamoDB, Redis

• AI & Agentic Tools: Pinecone, LangChain, LangGraph, OpenAI APIs

• Data Engineering: SQL, Python (Pandas, NumPy), ETL tools

• Other Tools: REST APIs, GraphQL (optional), Terraform or CloudFormation (nice

to have)

Required Qualifications:

• 6+ years of experience as a full stack/backend engineer with a focus on Node.js

• 3+ years of experience as an AWS architect, deploying production systems

• Proven experience with RDBMS/NoSQL databases and query optimization

• Deep understanding of Pinecone, vector databases, and AI agent orchestration

• Prior experience as a Data Engineer, including pipeline design, analytics, and

modeling

• Solid grasp of agentic architectures, RAG, LangChain/LangGraph, or equivalent

frameworks

• Strong understanding of Scrum/Agile methodologies

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

Preferred Skills:

• Experience with embedding models, HuggingFace, or LLM fine-tuning

• Familiarity with frontend systems (React/Next.js) to support end-to-end

development

• Knowledge of data privacy and compliance (GDPR, HIPAA, SOC 2)