Head of Artificial Intelligence Dexian India

12.0 - 15.0 years

0 Lacs

pune, maharashtra, india

On-site

Required Skills & Experience 1215 years of overall experience with 57 years in AI/ML and 3+ years in Generative AI / LLM architecture. Strong hands-on experience with RAG pipelines, vector search, and semantic retrieval. Proven experience integrating LLMs (OpenAI, Claude, Gemini, Mistral, etc.) using frameworks such as LangChain, LlamaIndex, or PromptFlow. Deep understanding of MCP servers configuration, context routing, memory management, and protocol-based interoperability. Strong programming skills in Python, and familiarity with containerization (Docker, Kubernetes) and cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI). Expertise in MLOps/LLMOps tools (MLflow, KubeFlow, LangSm...

Posted 2 weeks ago

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Head of Artificial Intelligence Dexian India

6.0 - 12.0 years

0 Lacs

pune, all india

On-site

As an experienced candidate in the field of AI/ML with expertise in Generative AI / LLM architecture, you are expected to possess the following skills and experience: Role Overview: You should have a total of 12-15 years of overall experience, with a significant focus of 5-7 years in AI/ML and at least 3 years in Generative AI / LLM architecture. Your role will involve hands-on experience with RAG pipelines, vector search, and semantic retrieval. Additionally, you will be responsible for integrating LLMs from various providers such as OpenAI, Claude, Gemini, Mistral, etc., utilizing frameworks like LangChain, LlamaIndex, or PromptFlow. A deep understanding of MCP servers configuration, conte...

Posted 4 weeks ago

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Machine Learning Engineer Allshore Technologies

3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

Role Overview: As part of the team, you will be responsible for designing and developing a modular, scalable AI platform to serve foundation models and RAG-based applications. Your role will involve building pipelines for embedding generation, document chunking, and indexing. Additionally, you will develop integrations with vector databases like Pinecone, Weaviate, Chroma, or FAISS, and orchestrate LLM flows using tools like LangChain, LlamaIndex, and OpenAI APIs. Implementing RAG architectures to combine generative models with structured and unstructured knowledge sources will also be a key part of your responsibilities. You will create robust APIs and developer tools for easy adoption of A...

Posted 2 months ago

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