AI Engineer (LLM)

SAI Group Ltd

1d

About The Position

This role focuses on designing, developing, and deploying Large Language Model (LLM)-powered applications and AI agents. The engineer will be responsible for building robust AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, optimizing model performance through prompt engineering, and integrating various LLM APIs. The position also involves fine-tuning open-source models, developing AI workflows with popular frameworks, and ensuring the security and efficiency of AI applications in production environments. Collaboration with cross-functional teams and staying updated with the latest AI advancements are key aspects of this role.

Requirements

• Strong proficiency in Python.
• Experience with Large Language Models and Generative AI.
• Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Knowledge of RAG architectures and vector databases (Pinecone, Weaviate, Chroma, FAISS, Milvus, etc.).
• Experience with embedding models and semantic search.
• Familiarity with OpenAI, Anthropic, Gemini, Azure OpenAI, or open-source LLMs (Llama, Mistral, Qwen, etc.).
• Experience with FastAPI, Flask, or Django.
• Strong understanding of REST APIs and cloud platforms (AWS, Azure, or GCP).
• Knowledge of Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with Git and software development best practices.
• Understanding of AI evaluation metrics, prompt optimization, and model monitoring.

Responsibilities

• Design, develop, and deploy LLM-powered applications and AI agents.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Develop prompt engineering strategies and optimize model performance.
• Integrate LLM APIs (OpenAI, Anthropic, Google Gemini, Azure OpenAI, etc.) into applications.
• Fine-tune and evaluate open-source LLMs where applicable.
• Develop AI workflows using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
• Build REST APIs and microservices for AI applications.
• Implement AI guardrails, content moderation, and security best practices.
• Optimize inference performance, latency, and operational costs.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.
• Stay current with emerging AI technologies, research, and industry trends.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed