AI/LLM Engineer (Python & AWS)

Role Description

We are seeking an AI/LLM Engineer to design, develop, and deploy agentic AI solutions that address real business challenges. The role involves building intelligent applications using Python, LLM technologies, RAG architectures, and AWS cloud services while collaborating closely with business stakeholders to ensure solutions are measurable, scalable, and transferable for long-term success.

Key Responsibilities

• Co-design and build agentic AI solutions leveraging Python, LLM, RAG, and AWS to solve defined business problems.
• Develop and enhance intelligent workflows involving tool usage, orchestration, retrieval mechanisms, and AI-driven decision-making.
• Establish prompt engineering and evaluation pipelines to measure solution quality, accuracy, and regression performance using real-world data.
• Build, test, and optimize Retrieval-Augmented Generation (RAG) implementations to improve response accuracy and contextual relevance.
• Integrate AI solutions with APIs and cloud-based services using AWS-native capabilities.
• Maintain all project artifacts including agent definitions, prompts, evaluations, configurations, and decision logs in Git-based repositories.
• Collaborate closely with product and operations stakeholders through co-design workshops and solution reviews.
• Drive continuous improvement through iterative development, testing, and performance evaluation.
• Support knowledge transfer and enable stakeholders to independently operate and extend delivered solutions.

Requirements & Tech Stack

• Python
• LLM
• RAG
• AWS

Qualifications

• Strong experience in modern LLM application development, including agent-based architectures and retrieval-focused AI solutions.
• Hands-on experience with prompt engineering, evaluation frameworks, accuracy measurement, and iterative model improvement.
• Experience with cloud-based solution development and deployment using AWS.
• Experience with Git-based development workflows, CI/CD practices, and API integration.
• Ability to work effectively with business stakeholders and communicate complex technical concepts clearly.
• Familiarity with agent orchestration and tool integration patterns.