Artificial Intelligence Engineer ThoughtFocus

4.0 - 9.0 years

25 - 40 Lacs

bengaluru

Work from Office

ONLY IMMEDIATE JOINERS (0-10 days) We are looking for Senior Engineers having 5+ yrs exp . Pls send me your updated CV along with present, expected CTC and notice period details. Pls find below JD: Key Responsibilities Work on vector databases (Pinecone, Weaviate, FAISS) for efficient retrieval-augmented generation (RAG). Implement AI-based automation solutions for enterprise applications, including agentic multi-agent architectures with tool integration (API calls, Text-to-SQL). Design, train, and fine-tune Generative AI models, including LLMs diffusion models, and transformer-based architectures. Implement prompt engineering and fine-tuning strategies for domain-specific AI applications. Develop multimodal AI models solutions. Stay up to date with cutting-edge research in NLP, computer vision (OCR), and Generative AI. Skills 5+ years of experience in application development with 2+ years of experience with generative AI solutions projects. Hands-on experience with Generative AI models , including LLMs (GPT-4, BERT, T5), GANs, and VAEs. Strong experience with data manipulation libraries (Pandas, NumPy, Dask) . Understanding of SQL, NoSQL, vector databases (FAISS, Pinecone, Weaviate) , and Graph Databases (Neo4J, Azure Cosmos). Understanding of different RAG indexing strategies such as Inverted File (IVF) and HNSW. Familiarity with Reinforcement Learning (RLHF) and transfer learning techniques . Experience with ML libraries like Huggingface Transformers, OpenAI API, LangChain , LangGraph, Scikit Learn, NLTK. Understanding of Azure cloud, DevOps, and Azure AI Foundry. Familiarity with multimodal AI (text-to-image, text-to-video, speech-to-text models). Mandatory Skill Set: Generative AI models, SQL, Python , Snowflake, Azure cloud, Communication skills. Good to have: RAG Models LLM, NLP, computer vision (OCR), Vector databases (FAISS, Pinecone, Weaviate)

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