RAG and Agentic Developer

Position Overview:

We are seeking a skilled RAG and Agentic Developer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, natural language processing, and software development. This role involves designing, developing, and implementing advanced RAG systems and agent-based solutions that enhance user interaction and content retrieval.

Key Responsibilities:

• Develop and implement Multi-Modal RAG systems that effectively combine retrieval techniques with generative models.
• Design and create Multi-agentic frameworks that facilitate intelligent, context-aware interactions.
• Collaborate with data scientists and engineers to refine algorithms and improve the performance of AI models.
• Conduct thorough testing and validation of developed systems to ensure accuracy and reliability.
• Stay updated with industry trends and advancements in AI, machine learning, and natural language processing.

Prerequisites:

1. Educational Background:
   
   • Master’s degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related field
     
2. Technical Skills:
   
   • Proficiency in programming languages such as Python, Java, C/C++
   • Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).
   • Familiarity with natural language processing (NLP) techniques and libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
   • Experience with retrieval systems and techniques, including search algorithms and indexing.
   • Knowledge of frameworks such as LangChain, LangGraph, PromptLayer, Swarm from OpenAI, MetaGPT, and LlamaIndex.
   • Experience with vector databases like Milvus, Elasticsearch, PgVector, and Pinecone.
   • Familiarity with LLM inference technologies such as vLLM, Ollama, and TensorRT-LLM.
     
3. Experience:
   
   • Proven experience in developing AI or machine learning applications, preferably in a RAG or agent-based context.
   • Familiarity with leading embedding models and techniques such as OpenAI’s models, BERT, and Sentence Transformers.
   • Experience in deploying applications on cloud platforms
     
4. Analytical Skills:
   
   • Strong problem-solving abilities and analytical thinking.
   • Ability to work with large datasets and perform data analysis.
     
5. Soft Skills:
   
   • Excellent communication and collaboration skills to work effectively in a team environment.
   • Strong organizational skills and attention to detail.
     
6. Industry Knowledge:
   
   • Understanding of current trends and challenges in AI, machine learning, and data retrieval.
   • Knowledge of ethical considerations in AI development and deployment.
     

Preferred Qualifications:

• Experience with reinforcement learning and agent-based modeling techniques.
• Familiarity with user experience (UX) design principles and human-computer interaction.
• Contributions to open-source projects or published research in relevant fields.

If you are passionate about advancing AI technologies and have the skills to build innovative RAG and agentic systems, we encourage you to apply. Join us in shaping the future of intelligent applications!