Role: Generative AI Engineer
Role Overview
We are seeking an innovative and experienced Generative AI Engineer to join our this role you will bridge the gap between cutting-edge Generative AI technologies and seamless user experiences. You will lead the creation of intelligent agentic applications powered by LLMs and Retrieval-Augmented Generation (RAG) pipelines while delivering intuitive and responsive frontend interfaces.
Key Responsibilities
- Design and implement Generative AI solutions utilizing LLMs such as GPT Claude and LLaMA
- Develop and optimize RAG pipelines using vector databases (ChromaDB for local development and Databricks Mosaic ML Vector Stores)
- Build and maintain agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI
- Perform vectorization using models such as GTE-large and BGE and optionally fine-tune them for improved accuracy
- Collaborate with backend and app teams to integrate Gen AI capabilities into products
Required Skills & Experience
- Deep understanding of LLMs prompt engineering and transformer architectures.
- Hands-on experience with RAG architectures vector search and embedding models.
- Proficiency in Python and libraries such as LangChain Transformers OpenAI SDK or Hugging Face.
- Familiarity with agentic frameworks like AutoGen OpenAI CrewAI or LangGraph.
- Experience deploying AI models via APIs or microservices.
Preferred Skills
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field
- Experience with cloud platforms such as AWS GCP or Azure and CI/CD pipeline
Role: Generative AI Engineer Role Overview We are seeking an innovative and experienced Generative AI Engineer to join our this role you will bridge the gap between cutting-edge Generative AI technologies and seamless user experiences. You will lead the creation of intelligent agentic applicatio...
Role: Generative AI Engineer
Role Overview
We are seeking an innovative and experienced Generative AI Engineer to join our this role you will bridge the gap between cutting-edge Generative AI technologies and seamless user experiences. You will lead the creation of intelligent agentic applications powered by LLMs and Retrieval-Augmented Generation (RAG) pipelines while delivering intuitive and responsive frontend interfaces.
Key Responsibilities
- Design and implement Generative AI solutions utilizing LLMs such as GPT Claude and LLaMA
- Develop and optimize RAG pipelines using vector databases (ChromaDB for local development and Databricks Mosaic ML Vector Stores)
- Build and maintain agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI
- Perform vectorization using models such as GTE-large and BGE and optionally fine-tune them for improved accuracy
- Collaborate with backend and app teams to integrate Gen AI capabilities into products
Required Skills & Experience
- Deep understanding of LLMs prompt engineering and transformer architectures.
- Hands-on experience with RAG architectures vector search and embedding models.
- Proficiency in Python and libraries such as LangChain Transformers OpenAI SDK or Hugging Face.
- Familiarity with agentic frameworks like AutoGen OpenAI CrewAI or LangGraph.
- Experience deploying AI models via APIs or microservices.
Preferred Skills
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field
- Experience with cloud platforms such as AWS GCP or Azure and CI/CD pipeline
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