AI Engineer (LLM)
Job Location:
Monthly Salary:
Posted on:
14 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Summary
Key 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.
Required Skills
- 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.
Required Experience:
Senior IC
About Company
Explore SAI Group’s AI-powered retail solutions that enhance security, reduce loss, and improve store operations using advanced video analytics.
