Description : Job summary :
Join our growing team as an AI / ML Engineer and work on Large Language Models (LLMs), RAG architectures, and cutting-edge AI frameworks.
Qualifications :
- 5+ years of AI / ML engineering experience with production-level deployments
- Strong expertise in Python, APIs, and microservices
- Experience with Azure AI Foundry, AWS Bedrock, or Google Vertex AI
- Hands on with LLM frameworks, embeddings & RAG systems
- Solid understanding of ML fundamentals & scalable :
- Design, develop & deploy AI / ML solutions using modern frameworks (LangChain, Hugging Face, DSPy, etc.)
- Build and fine tune LLMs with prompt engineering, LoRA & PEFT techniques
- Work with vector databases, embeddings, and knowledge graphs
- Implement Retrieval-Augmented Generation (RAG) for scalable AI apps
- Develop and maintain MLOps pipelines (CI / CD, monitoring, MLflow)
- Collaborate with teams to integrate AI into real world applications
Skills : - Python
- APIs
- Microservices
- LLM frameworks
- Embeddings
- RAG systems
Benefits :
Be part of a team shaping the future of AI-driven innovation(ref : hirist.tech)