Senior AI Engineer (RAG | Pinecone | GenAI Workflows)

About the Role

Senior AI Engineer

applied AI and engineering

Key Responsibilities

AI & Agentic Workflows

• Design and implement

  RAG pipelines

  for semantic search, personalization, and contextual enrichment. 
• Build

  agentic AI workflows

  using Pinecone, LangChain/LangGraph, and custom orchestration. 
• Integrate LLM-driven features into production systems, balancing innovation with scalability. 

Vector Search & Data Intelligence

• Architect and optimize

  vector databases (Pinecone, FAISS, Milvus)

  for low-latency retrieval. 
• Work with structured/unstructured datasets for

  embedding, indexing, and enrichment

  . 
• Collaborate with data engineers on

  ETL/ELT pipelines

  to prepare data for AI applications. 

Collaboration & Agile Delivery

• Partner with backend and frontend engineers to integrate AI features into user-facing products. 
• Participate in Agile ceremonies (sprint planning, reviews, standups). 
• Maintain clear documentation and support knowledge sharing across the AI team. 

Tech Stack

• AI Tools:

  Pinecone, LangChain, LangGraph, OpenAI APIs (ChatGPT, GPT-4/5), HuggingFace models 

• Languages:

  Python (primary for AI workflows), basic Node.js knowledge for integration 

• Cloud & DevOps:

  AWS (Lambda, S3, RDS, DynamoDB, IAM), Docker, CI/CD pipelines 

• Data Engineering:

  SQL, Python (Pandas, NumPy), ETL/ELT workflows, Databases (Postgres, DynamoDB, Redis) 

• Bonus Exposure:

  React, Next.js 

Required Qualifications

• 5+

  years in

  AI/ML engineering or software engineering with applied AI focus

  . 
• Hands-on experience with

  RAG pipelines, vector databases (Pinecone, FAISS, Milvus), and LLM integration

  . 
• Strong background in

  Python for AI workflows

  (embeddings, orchestration, optimization). 
• Familiarity with

  agentic architectures

  (LangChain, LangGraph, or similar). 
• Experience deploying and scaling AI features on

  AWS cloud environments

  . 
• Strong collaboration and communication skills for cross-functional teamwork. 

Preferred Skills

• Experience with

  embedding models

  , HuggingFace Transformers, or fine-tuning LLMs. 
• Knowledge of

  compliance frameworks

  (GDPR, HIPAA, SOC 2). 
• Exposure to personalization engines, recommender systems, or conversational AI.