AI Engineer — LLM / VLM
SAI Group Ltd (company site, opens in a new tab)KolkataRemoteDirect career pageEst. 12–25 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy production-grade AI applications leveraging Large Language Models (LLMs) and Vision-Language Models (VLMs).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines including document ingestion, embeddings, retrieval, reranking, and generation components.
- Develop multimodal AI solutions integrating text, images, documents, and implement APIs and production services for scalable deployment.
Minimum Requirements
- Proven hands-on experience with LLMs and/or VLMs and strong Python programming and software engineering skills.
- Experience in building RAG systems, vector search solutions, and working knowledge of PyTorch and Hugging Face Transformers.
- Familiarity with vector databases (FAISS, Milvus, Pinecone, Weaviate, pgvector) and cloud AI infrastructure (AWS/Azure/GCP).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced engineer with deep expertise in Transformer architectures, attention mechanisms, prompt engineering, and model fine-tuning.
- Demonstrated ability to combine multimodal components (text, images, OCR, vision tasks) into cohesive AI pipelines.
- Proficient in end-to-end development including API/service development, model serving optimization, and collaboration across ML and software engineering teams.