
AI Development Lead
1 day ago
About the Role
We seek an experienced Senior AI Engineer to lead the development of innovative AI-powered workflows and drive personalized insights.
This role is ideal for someone passionate about applied AI, engineering, and collaboration with strong background in Python and experience deploying AI features on cloud environments.
Key Responsibilities:
- Design and implement cutting-edge AI pipelines for search, personalization, and contextual enrichment.
- BUILD agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration.
- Integrate LLM-driven features into production systems, ensuring innovation meets scalability requirements.
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, HuggingFace models
- Languages: Python, basic Node.js knowledge
- Cloud & DevOps: AWS, Docker, CI/CD pipelines
- Data Engineering: SQL, Python, ETL/ELT workflows, Databases
- 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, and LLM integration.
- Strong background in Python for AI workflows.
- Familiarity with agentic architectures.
- Experience deploying and scaling AI features on cloud environments.
- Strong collaboration and communication skills.
Preferred Skills:
- Experience with embedding models, HuggingFace Transformers, or fine-tuning LLMs.
- Knowledge of compliance frameworks.
- Exposure to personalization engines, recommender systems, or conversational AI.
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