AI Solution Development Engineer

Overview

We are looking for a highly skilled and experienced Architect (ATC) to join our team. As an Architect you will be responsible for designing and overseeing the construction of buildings and structures. Your main goal will be to ensure that all projects are completed on time within budget and meet the client s specifications. This is a full-time position and you will be required to work from the client s office.

• Design and oversee the construction of buildings and structures.
• Ensure projects are completed on time, within budget, and meet client specifications.
• Work from the client s office and collaborate with clients, contractors, and other team members.
• Build and maintain data pipelines and infrastructure to support AI solutions.
• Build API-based scalable solutions and debug/troubleshoot software or design issues.
• Conduct experiments and analyze features and capabilities of newer LLM models as they come to market.

• At least 8 years of work experience in architecture and a strong understanding of building codes and regulations.
• Excellent communication and project management skills.
• Ability to work closely with clients, contractors, and other team members.
• Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks.
• Excellent programming skills and proficiency in at least one major programming or scripting language (e.g., Python, PySpark, or Java) used in Gen AI orchestration.
• Ability to build API-based scalable solutions and to debug/troubleshoot software or design issues.
• Hands-on exposure to integrating at least one popular LLM (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints.
• Understanding of prompt engineering and exposure to LLM agents (e.g., Lang Chain) and vector databases (e.g., Pinecone, Chroma, or FAISS).
• Ability to quickly conduct experiments and analyze features and capabilities of newer LLM versions.
• Basic data engineering skills to load structured and unstructured data from source systems to target data stores.
• Experience working with Gen AI leads and other team members to address product backlog requirements.

• Hands-on exposure to cloud services (Azure, GCP, AWS) for storage, serverless logic, search, transcription, and chat.
• Extensive experience with data engineering and ETL tools.
• Masters or Bachelors degree in Computer Science, Statistics, or Mathematics.