Artificial Intelligence Engineer

2 weeks ago

Bengaluru, India People Prime World Wide Full time

Key Responsibilities : - Design and optimize advanced prompt engineering strategies tailored to business and domain needs- Fine-tune LLMs using domain-specific datasets to enhance task performance and contextual accuracy- Apply Reinforcement Learning with Human Feedback (RLHF) to improve agent decision-making and behavior- Build and implement intelligent agents leveraging Google Cloud Vertex AI, PaLM, and Gemini- Collaborate in the design and evaluation of multi-agent architectures and workflows- Utilize A2A orchestration frameworks and MCP protocols to manage agent communication and interoperability- Standardize agent interaction using Google's Multi-Agent Communication Protocols (MCP)- Develop, test, and deploy ML models and agents using Python and frameworks like TensorFlow, JAX, and PyTorch- Implement model optimization techniques including transformers, LoRA, quantization, and PEFT- Use AutoML tools for model experimentation and deployment acceleration- Maintain a strong focus on prompt tuning, chain-of-thought prompting, and reasoning-based output generationRequired Skills : - Strong expertise in AI/ML model development and LLMs- Experience with Google Cloud AI tools : Vertex AI, PaLM, Gemini, AutoML- Proficiency in Python, along with TensorFlow, JAX, and PyTorch- Hands-on experience in prompt design, LLM fine-tuning, and RLHF- Experience with A2A orchestration, ADK, and MCP protocols- Knowledge of transformers, LoRA, quantization, and PEFT techniques- Ability to design intelligent agents capable of context-aware reasoning- Familiarity with prompt chaining and chain-of-thought prompting techniquesNice to Have : - Prior experience deploying LLM-based applications in production- Understanding of AI/ML evaluation metrics for agents and LLMs- Exposure to multi-agent systems in real-world enterprise environments (ref:hirist.tech)

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