Description

Key Responsibilities

• Design, develop, and deploy AI/LLM-powered applications in AWS production environments.
• Build, orchestrate, and manage intelligent workflows using LangChain and LangGraph.
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Optimize model performance, latency, scalability, and reliability for production use cases.
• Develop and implement prompt engineering strategies and model evaluation frameworks.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Ensure adherence to software engineering best practices, including CI/CD, version control, testing, and deployment automation.
• Monitor, troubleshoot, and enhance AI applications in production environments.

Required Qualifications

• Proven experience deploying and supporting applications in AWS production environments (e.g., Lambda, ECS, EKS, S3).
• Hands-on experience with LangChain and LangGraph for AI orchestration and workflow development.
• Strong programming experience in Python.
• Experience working with Large Language Models (LLMs), prompt engineering, and model evaluation techniques.
• Solid understanding of software development best practices, including CI/CD pipelines, Git-based version control, automated testing, and deployment processes.
• Experience integrating AI solutions with enterprise systems and APIs.

Preferred Qualifications

• Experience building and deploying scalable generative AI applications.
• Familiarity with vector databases, RAG (Retrieval-Augmented Generation), and AI observability tools.
• Understanding of cloud security, governance, and compliance considerations for AI workloads.
• Experience working in Agile development environments

Key Skills

Education

Bachelor's degree