Job Title : Generative AI LLM Engineer
Experience : 5-10 Years
Location : Chennai
Roles & Responsibilities
- Design build and deploy production-ready Generative AI and LLM solutions
- Develop end-to-end GenAI pipelines: data collection preprocessing model training evaluation deployment
- Implement LLMs and multimodal AI models using frameworks like LangChain LlamaIndex or OpenAI APIs
- Conduct RAG (Retrieval-Augmented Generation) implementations for enterprise use cases
- Optimize model inference for cost efficiency and low latency
- Collaborate with cross-functional teams (data science product engineering) to design intelligent AI applications
- Integrate AI models into production systems and ensure scalability
- Stay current with the latest AI research tools and frameworks
Requisites
- Strong Python programming skills
- Hands-on experience with PyTorch or TensorFlow
- Experience with LLMs (GPT Claude LLaMA Mistral) and open-source libraries (LangChain Hugging Face Transformers)
- Knowledge of prompt engineering embeddings and vector databases (FAISS Pinecone Weaviate Milvus)
- Familiarity with cloud platforms (Azure preferred AWS or GCP acceptable)
- Experience with API development Docker Kubernetes and CI/CD pipelines
- Exposure to diffusion/image generation models (Stable Diffusion DALLE) and multimodal AI systems
- Understanding of MLOps best practices and AI production deployment
Required Skills:
Gen aiLLMMachine learningPythonCloud PlatformAPI DevelopmentCI/CD Pipelines
Job Title : Generative AI LLM EngineerExperience : 5-10 YearsLocation : ChennaiRoles & Responsibilities Design build and deploy production-ready Generative AI and LLM solutions Develop end-to-end GenAI pipelines: data collection preprocessing model training evaluation deployment Implement LLM...
Job Title : Generative AI LLM Engineer
Experience : 5-10 Years
Location : Chennai
Roles & Responsibilities
- Design build and deploy production-ready Generative AI and LLM solutions
- Develop end-to-end GenAI pipelines: data collection preprocessing model training evaluation deployment
- Implement LLMs and multimodal AI models using frameworks like LangChain LlamaIndex or OpenAI APIs
- Conduct RAG (Retrieval-Augmented Generation) implementations for enterprise use cases
- Optimize model inference for cost efficiency and low latency
- Collaborate with cross-functional teams (data science product engineering) to design intelligent AI applications
- Integrate AI models into production systems and ensure scalability
- Stay current with the latest AI research tools and frameworks
Requisites
- Strong Python programming skills
- Hands-on experience with PyTorch or TensorFlow
- Experience with LLMs (GPT Claude LLaMA Mistral) and open-source libraries (LangChain Hugging Face Transformers)
- Knowledge of prompt engineering embeddings and vector databases (FAISS Pinecone Weaviate Milvus)
- Familiarity with cloud platforms (Azure preferred AWS or GCP acceptable)
- Experience with API development Docker Kubernetes and CI/CD pipelines
- Exposure to diffusion/image generation models (Stable Diffusion DALLE) and multimodal AI systems
- Understanding of MLOps best practices and AI production deployment
Required Skills:
Gen aiLLMMachine learningPythonCloud PlatformAPI DevelopmentCI/CD Pipelines
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