Core Architect

We are seeking a highly skilled Core Architect to join our team.

The ideal candidate will have extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stacks.

They must also possess excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python, PySpark, or Java.

The Core Architect will be responsible for building API-based scalable solutions and debugging and troubleshooting software or design issues.

They must also have hands-on exposure to integrating at least one of the popular LLMs (Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.

) using API endpoints.

Other key responsibilities include a thorough understanding of prompt engineering, implementation exposure to LLM agents like LangChain and vector databases Pinecone, Chroma, or FAISS, and the ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into the market.

Basic data engineering skills to load structured and unstructured data from source systems to target data stores are also required.

The Core Architect will work closely with Gen AI leads and other team members to address requirements from the product backlog and build and maintain data pipelines and infrastructure to support AI solutions.

A desirable skill for this role includes hands-on exposure to using cloud (Azure/GCP/AWS) services for storage, serverless-logic, search, transcription, and chat.

Extensive experience with data engineering and ETL tools is a big plus.

A Masters or Bachelors degree in Computer Science, Statistics, or Mathematics is preferred.

The ideal candidate will have a total of 10 years of work experience.