Description:

Design, develop, and deploy scalable AI applications using Large Language Models (LLMs).
Build AI agents and automated workflows to enhance product capabilities.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
Integrate and manage LLM providers like OpenAI and AWS Bedrock.
Maintain backend services and RESTful APIs for AI applications.
Implement AI evaluation frameworks for accuracy and safety.
Optimize AI application performance and infrastructure costs.
Deploy and monitor AI services using cloud infrastructure and CI/CD pipelines.
Collaborate with teams to translate business requirements into AI solutions.
Research emerging AI technologies to improve capabilities.

Requirements:

Degree in Computer Science, Engineering, or related field.
4+ years of software engineering experience, especially with AI/LLM applications.
Proficiency in Python and backend frameworks (FastAPI, Django).
Experience integrating LLM APIs (OpenAI, Anthropic).
Knowledge of RAG architectures and vector databases.
Understanding of AI evaluation and prompt-injection risks.
Experience with AWS, Docker, and cloud infrastructure.
Familiarity with CI/CD pipelines and application monitoring.
Strong problem-solving skills and ability to deliver AI features independently.

Skills