
Advanced Artificial Intelligence Specialist
1 week ago
About the Role:
We are seeking an experienced AI engineer to design, implement, and deploy search and personalization systems. You will focus on developing vector databases, retrieval-augmented generation (RAG), and intelligent automation using Pinecone, LangChain/LangGraph, and OpenAI APIs.
This role is ideal for someone passionate about applied AI and engineering with a strong background in Python, vector databases, and LLM integration.
Key Responsibilities:
- 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.
Required Skills and 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.
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