Agentic AI Developer

As an experienced Agentic AI Developer, your role will involve designing and deploying advanced AI systems that can reason, plan, and act autonomously. You should have hands-on experience integrating leading LLMs, developing multi-agent architectures, and working with cloud-based AI platforms. **Key Responsibilities:** - Design and develop agentic AI systems capable of reasoning, planning, and acting with minimal human intervention. - Build multi-agent systems, memory architectures, and goal-oriented behavior loops to support complex decision-making. - Integrate large language models (LLMs) such as GPT-4, Claude, Gemini, and others with tools, APIs, environments, or agents for enhanced execution and decision-making. - Implement and customize agent frameworks, including Auto-GPT, LangGraph, OpenAgents, CrewAI, or proprietary architectures. - Test and optimize agents in real-world or simulated environments (web navigation, API integration, workflow automation). - Optimize for performance, safety, interpretability, and alignment of autonomous agents. - Collaborate with ML engineers, product managers, and domain experts to ensure AI solutions are aligned with user needs and ethical standards. - Stay abreast of the latest research in AGI, reinforcement learning, LLM reasoning, and multi-agent collaboration. - Work with cloud-based AI platforms such as Azure AI Foundry, AI Hub, AI Agents, or similar AWS/GCP artifacts for scalable, production-ready deployments. **Qualifications Required:** - Bachelors or masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred for research-focused roles). - Proven experience developing intelligent agents, autonomous systems, or LLM-based tools. - Strong Python programming skills and familiarity with ML libraries (PyTorch, LangChain, Hugging Face, Ray). - Deep understanding of cognitive architectures, reinforcement learning, LLM-based tool use and planning, prompt engineering, memory, and retrieval mechanisms, and familiarity with agent simulation environments or orchestration frameworks. - Practical experience with cloud-based AI platforms (Azure AI Foundry, AI Hub, AI Agents, or similar AWS/GCP artifacts). - Strong analytical thinking and debugging skills. - Passion for safe and beneficial AI development. **Additional Company Details:** - Experience with real-time autonomous systems (e.g., robotics, games, simulations) is a plus. - Publications in AI/ML/AGI fields are valued. - Experience in human-AI collaboration or AI alignment research is beneficial. - Proficiency in React, Node, and MSSQL for end-to-end application development is advantageous. - Experience with SQL data manipulation, aggregation, and cross-database compatibility is a nice-to-have.,