Agentic AI Developer
3 days ago
We are seeking an experienced Agentic AI Developer to design and deploy advanced AI systems that reason, plan, and act autonomously. The ideal candidate will have hands-on experience integrating leading LLMs (Claude, OpenAI, ChatGPT, Gemini, etc.), developing multi-agent architectures, and working with cloud-based AI platforms such as Azure AI Foundry, AI Hub, AI Agents, or similar artifacts in AWS and GCP. Experience with modern web stacks (e.g., React, ) and database technologies (e.g., Microsoft SQL Server) is a plus.
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.
Requirements:
- Bachelor's or master's 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 one or more of the following: - Cognitive architectures
(e.g., ACT-R, SOAR) - Reinforcement learning or reward modeling
- LLM-based tool use and planning
- Prompt engineering, memory, and retrieval mechanisms
- 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.
Nice to Have:
- Experience with real-time autonomous systems
(e.g., robotics, games, simulations). - Publications in AI/ML/AGI fields.
- Experience in human-AI collaboration or AI alignment research.
- Proficiency in React, Node, and MSSQL
for end-to-end application development. - Experience with SQL data manipulation, aggregation, and cross-database compatibility
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