Description

You will build and deploy advanced AI systems leveraging Large Language Models and agentic architectures.

Responsibilities

• Develop and optimize LLM prompting pipelines to improve contextual understanding and response coherence.
• Design and implement AI memory systems for persistent, context-aware dialogue.
• Work with open-source LLMs (Llama, Mistral, Falcon) by fine-tuning, evaluating, and deploying them for production.
• Research and experiment with RAG, vector databases, and memory architectures.
• Build voice-enabled AI agents, integrating speech recognition and text-to-speech for real-time interaction.

Required Skills

• 2+ years of hands-on AI engineering experience.
• Proven experience building and deploying LLM applications and agentic architectures in production.
• Proficiency in Python.
• Experience with LLMs, Vector Databases, and Back End software engineering.
• Familiarity with MistralAI and LLaMA models.
• Knowledge of Retrieval-Augmented Generation (RAG) and Memory Systems.
• Experience with Agentic AI concepts.

Preferred Skills

• Experience with AI Agents, Production deployment, Speech Recognition, or Text to Speech (TTS).

Key Skills

Education

Any Graduate