Gen AI Developer

Job Overview:

Key Responsibilities:

1. Develop and optimize

   Generative AI applications using

   LLMs, RAG pipelines, and LangChain

   .

2. Design and implement

   chatbot solutions leveraging

   LLMs

   for conversational AI.

3. Integrate retrieval mechanisms

   to enhance chatbot accuracy and contextual relevance.

4. Apply LLMOps/MLOps best practices

   for model deployment, monitoring, and optimization.

5. Collaborate with cross-functional teams

   to integrate AI solutions into business applications.

6. Research and implement

   the latest advancements in Generative AI and NLP.

7. Ensure scalability and efficiency

   of AI models using

   vector databases and embeddings

   .

Required Skills:

1. Expertise in RAG architecture

   for AI-driven retrieval systems.

2. Strong proficiency in Python

   for AI model development.

3. Experience with LangChain

   for building AI-powered applications.

4. Hands-on experience in chatbot development

   using LLMs.

5. Knowledge of LLMOps/MLOps

   for model lifecycle management.

6. Understanding of vector databases

   (FAISS, Pinecone) for efficient data retrieval.

7. Familiarity with cloud-based AI services

   (AWS Bedrock, Azure AI).

Preferred Skills:

1. Experience with NLP frameworks

   (spaCy, Hugging Face, NLTK).

2. Knowledge of deep learning architectures

   (Transformers, CNN, RNN).

3. Proficiency in Streamlit

   for AI application prototyping.

4. Exposure to CI/CD pipelines

   for AI model deployment.