
Principal Artificial Intelligence Developer
2 weeks ago
We are seeking a highly skilled and innovative Key AI Engineer to design and deploy cutting-edge AI-powered workflows.
This role is ideal for an experienced engineer with a passion for applied AI who can build, optimize, and deploy scalable GenAI features into production-grade systems.
The successful candidate will drive the development of personalized insights that shape the future of our products and services.
Responsibilities- Design and implement Retrieval-Augmented Generation (RAG) pipelines for semantic search, personalization, and contextual enrichment.
- Develop agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration.
- Incorporate Large Language Model (LLM)-driven features into production systems while balancing innovation with scalability.
- 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 Extract-Transform-Load (ETL)/Extract-Load-Transform (ELT) pipelines to prepare data for AI applications.
- 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.
- 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
- 5+ years in AI/ML engineering or software engineering with applied AI focus.
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