Description

You design, build, and deploy Generative AI applications using Large Language Models (LLMs).

This role is remote.

Responsibilities

• Integrate LLMs into production applications using APIs, SDKs, and frameworks like LangChain or LlamaIndex.
• Design, test, and optimize prompts to improve model accuracy, relevance, and response quality.
• Build Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases.
• Develop scalable backend services to support GenAI workflows using Python, Node.js, or Java.
• Implement CI/CD pipelines and MLOps practices for model versioning and deployment.

Required Skills

• 2+ years of software engineering experience, with 1+ years focused on LLM or GenAI systems.
• Strong proficiency in Python and experience building production APIs (FastAPI preferred).
• Hands-on experience with LangChain, OpenAI SDK, or similar LLM frameworks.
• Experience building RAG pipelines and working with vector databases.
• Experience deploying AI solutions in AWS, Azure, or GCP.
• Familiarity with Docker, Kubernetes, and Git-based workflows.
• Strong understanding of prompt engineering, embeddings, and LLM evaluation techniques.

Preferred Skills

• Bachelor's degree in Computer Science, AI, Data Science, or related field.
• Experience with Node.js or Java for backend development.

Key Skills

Education

Bachelor's degree