AI Developer

Role Overview: You will need to have expertise in LLMs, multi-ai-agentic systems, and AI reasoning frameworks. Additionally, hands-on experience with Langchain, LangGraph, CrewAI, and Google Gemini Agent Builder will be crucial. Your strong programming skills in Python or Java for AI development will play a key role in this position. Familiarity with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning will also be required. Moreover, you should have experience with Google Cloud, Vertex AI, and CI/CD Automation. Your ability to evaluate AI model performance, scalability, and efficiency will be essential. Knowledge of multi-agent coordination, reinforcement learning, and distributed AI will be advantageous. Lastly, you must possess the ability to evaluate models and write evaluation code, along with strong problem-solving skills for AI system optimization and troubleshooting. Key Responsibilities: - Expertise in LLMs, multi-ai-agentic systems, and AI reasoning frameworks - Hands-on experience with Langchain, LangGraph, CrewAI, and Google Gemini Agent Builder - Strong programming skills in Python or Java for AI development - Familiarity with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning - Experience with Google Cloud, Vertex AI, and CI/CD Automation - Ability to evaluate AI model performance, scalability, and efficiency - Knowledge of multi-agent coordination, reinforcement learning, and distributed AI - Ability to evaluate models and write evaluation code - Strong problem-solving skills for AI system optimization and troubleshooting Qualifications Required: - Expertise in LLMs, multi-ai-agentic systems, and AI reasoning frameworks - Hands-on experience with Langchain, LangGraph, CrewAI, and Google Gemini Agent Builder - Strong programming skills in Python or Java for AI development - Familiarity with ReAct prompting, Chain-of-Thought reasoning, and AI fine-tuning - Experience with Google Cloud, Vertex AI, and CI/CD Automation - Knowledge of multi-agent coordination, reinforcement learning, and distributed AI - Ability to evaluate models and write evaluation code - Strong problem-solving skills for AI system optimization and troubleshooting (Note: No additional details about the company were provided in the job description.),