Description

You will design, fine-tune, and deploy generative AI models while building agentic workflows. You own the end-to-end engineering of LLM-based systems, ensuring performance and scalability.

This role is remote.

Responsibilities

• Design and implement agentic workflows using frameworks like Langgraph, CrewAI, Autogen, or similar.
• Fine-tune and deploy large language models including Llama, Mistral, GPT, BERT, and T5.
• Optimize model performance through advanced prompt engineering techniques.
• Deploy and scale models on cloud platforms such as AWS, GCP, or Azure.

Required Skills

• 6 to 9 years of hands-on experience in machine learning and AI engineering.
• Expertise in Python and ML frameworks like TensorFlow or PyTorch.
• Proven track record working with LLMs (Llama, Mistral, GPT, BERT, T5).
• Strong proficiency in building agentic workflows (Langgraph, CrewAI, Autogen).
• Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling.
• Experience with prompt engineering to optimize AI model performance.
• Immediate availability required.

Key Skills

Education

Not specified