i
Cloudsufi
CloudSufi - Senior LLM Engineer (4-9 yrs)
Cloudsufi
posted 1d ago
Flexible timing
Key skills for the job
About Us :
CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.
Our Values :
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement :
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.
What we are looking for :
Role : Sr. LLM Engineer
Location : Noida (Hybrid-2 days WFO,2 days WFH)
Experience : 4-9 years
Education : BTech / BE / MCA / MSc Computer Science
Responsibilities :
- Design, develop, and deploy LLM-based chatbots for customer support and automation.
- Fine-tune and optimize open-source & proprietary LLMs (GPT, LLaMA, Deepseek, etc.).
- Implement retrieval-augmented generation (RAG) using vector databases (e.g.,Pinecone,FAISS).
- Develop APIs for chatbot integration with HRM, ticketing, and knowledge bases.
- Ensure chatbot performance, security, and scalability in production.
Requirements :
- Strong experience with Python, LangChain, Hugging Face, OpenAI APIs.
- Proficiency in LLM fine-tuning, embeddings, and prompt engineering.
- Hands-on experience with vector databases (e.g., Pinecone, ChromaDB).
- Cloud expertise (GCP or Azure) for model deployment.
- Experience with MLOps & CI/CD pipelines is a plus.
Functional Areas: Other
Read full job descriptionPrepare for Engineer roles with real interview advice