Description

Design and implement scalable AI solutions, focusing on multi-agent orchestration and large language model optimization.

This role is on-site.

Responsibilities

• Develop multi-agent orchestration systems with advanced agent memory and reasoning capabilities using frameworks like LangChain and AutoGen.
• Optimize Large Language Model (LLM) performance through expert prompt engineering and hyperparameter tuning.
• Architect robust pipelines on cloud platforms (AWS, Azure, or GCP) to support AI model deployment.
• Integrate artificial intelligence into existing digital products by collaborating with cross-functional teams.
• Maintain and improve the digital AI and machine learning lifecycle.

Required Skills

• 12+ years of overall experience in Software Engineering and Data Science.
• Expert proficiency in Python programming and backend integration.
• Deep expertise with Large Language Models (LLM) such as GPT and Claude.
• Proven experience with orchestration tools and agentic frameworks.
• Strong foundation in digital artificial intelligence and machine learning life cycles.
• Experience deploying on AWS, Microsoft Azure, or GCP.
• Knowledge of Prompt Engineering.

Preferred Skills

• Experience with Vector Databases (e.g., Pinecone, Milvus, or Weaviate).
• Knowledge of MLOps for automating model deployments.

Key Skills

Education

Bachelor's degree