Description

Design and build scalable LLM applications, managing the full lifecycle from architecture to production deployment.

This role is hybrid.

Responsibilities

• Architect and develop distributed systems and LLM pipelines using RAG, agentic workflows, and PEFT patterns.
• Implement full-stack features using Python, JavaScript, React, and Next.js, ensuring code quality and performance.
• Deploy and manage infrastructure on AWS or Azure, utilizing Docker, Kubernetes, and cloud-native services for scalability.
• Establish DevOps practices for continuous integration and delivery, including automation scripts and monitoring.
• Collaborate with cross-functional teams to translate business requirements into technical solutions and enforce best practices.

Required Skills

• 5+ years of software development experience, with specific focus on LLM application development.
• Proficiency in Python and JavaScript, including experience with FastAPI and Django.
• Deep understanding of LLM patterns: RAG, vector databases, hybrid search, prompt engineering, and agent development.
• Experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and SDKs (LangChain, DSPy).
• Strong cloud engineering skills on AWS, Azure, or GCP, including IAM, networking, storage, and container orchestration.
• Hands-on experience with DevOps tools, specifically Docker, Kubernetes, and Azure DevOps.
• Front-end development experience with React.js, Next.js, and Tailwind CSS.

Preferred Skills

• Experience with WebSocket, gRPC, and JWT-based access management (Azure AD/IDM).
• Bachelor’s degree in Computer Science, Information Technology, or equivalent work experience.

Key Skills

Education

Bachelor's degree