Core Architect

Key Responsibilities:

• Implement scalable data analytics solutions or function as a senior developer in modern technology stacks.
• Develop and debug solutions using major programming/scripting languages like Python, PySpark, or Java.
• Build API-based scalable solutions and troubleshoot software/design issues.
• Integrate popular LLMs (e.g., OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere) using API endpoints.
• Apply prompt engineering techniques and implement LLM agents like LangChain and vector databases (e.g., Pinecone, Chroma, FAISS).
• Experiment with and analyze new features and capabilities of evolving LLM models.
• Load structured and unstructured data from source systems to target data stores.
• Collaborate with Generative AI leads and team members to address product backlog requirements.
• Build and maintain data pipelines and infrastructure to support AI solutions.

Required Skills:

• Excellent programming skills in Python, PySpark, or Java.
• Expertise in building scalable API solutions.
• Hands-on experience integrating popular LLMs through API endpoints.
• Strong understanding of prompt engineering and LLM agents.
• Familiarity with vector databases such as Pinecone, Chroma, or FAISS.
• Basic data engineering skills for managing structured and unstructured data.
• Knowledge of modern cloud platforms (Azure, GCP, AWS) for storage, serverless logic, search, transcription, and chat.