Description

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

Responsibilities

• Design and implement agentic workflows using tools like Langgraph, CrewAI, Autogen, or similar frameworks.
• 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.
• Develop robust machine learning solutions using Python and major ML frameworks.

Required Skills

• 6 to 9 years of hands-on experience in machine learning and AI engineering.
• Expertise in Python, TensorFlow, PyTorch, or equivalent ML frameworks.
• Proven track record working with LLMs (Llama, Mistral, GPT, BERT, T5).
• Strong proficiency in building agentic workflows (Langgraph, CrewAI, Autogen, PhiData).
• 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