Role: Gen AI Engineer Intern (Leading to PPO)
Education: B.E./ (CSE/IT) MCA or . IT
Focus: Building fine-tuning and deploying Generative AI solutions.
Key Responsibilities:
LLM Implementation: Work with frameworks like LangChain LlamaIndex or AutoGPT to build AI agents.
RAG Pipelines: Develop Retrieval-Augmented Generation (RAG) systems using Vector Databases (Pinecone ChromaDB or Weaviate).
Prompt Engineering: Design and optimize prompts to improve model accuracy and reduce hallucinations.
API Integration: Integrate LLMs (OpenAI Anthropic or Open Source models via HuggingFace) into our core software products.
Testing & Evaluation: Use frameworks to evaluate the performance and safety of AI outputs.
Required Skills:
Advanced Python: Strong coding skills in Python (Data structures AsyncIO and Classes).
AI Knowledge: Understanding of Transformers Embeddings and Tokenization.
APIs: Experience working with RESTful APIs and JSON data.
Problem Solver: Ability to research the latest AI research papers and implement them practically.
Required Skills:
apiadvancedpythonresearchframework
Role: Gen AI Engineer Intern (Leading to PPO)Education: B.E./ (CSE/IT) MCA or . ITFocus: Building fine-tuning and deploying Generative AI solutions.Key Responsibilities:LLM Implementation: Work with frameworks like LangChain LlamaIndex or AutoGPT to build AI agents.RAG Pipelines: Develop Retrieval-A...
Role: Gen AI Engineer Intern (Leading to PPO)
Education: B.E./ (CSE/IT) MCA or . IT
Focus: Building fine-tuning and deploying Generative AI solutions.
Key Responsibilities:
LLM Implementation: Work with frameworks like LangChain LlamaIndex or AutoGPT to build AI agents.
RAG Pipelines: Develop Retrieval-Augmented Generation (RAG) systems using Vector Databases (Pinecone ChromaDB or Weaviate).
Prompt Engineering: Design and optimize prompts to improve model accuracy and reduce hallucinations.
API Integration: Integrate LLMs (OpenAI Anthropic or Open Source models via HuggingFace) into our core software products.
Testing & Evaluation: Use frameworks to evaluate the performance and safety of AI outputs.
Required Skills:
Advanced Python: Strong coding skills in Python (Data structures AsyncIO and Classes).
AI Knowledge: Understanding of Transformers Embeddings and Tokenization.
APIs: Experience working with RESTful APIs and JSON data.
Problem Solver: Ability to research the latest AI research papers and implement them practically.
Required Skills:
apiadvancedpythonresearchframework
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