Agentic AI Developer

3 weeks ago

New Delhi, India InterScripts, Inc. Full time

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, Node.js) and database technologies (e.g., Microsoft SQL Server) is a plus.Responsibilities: Design and develop agentic AI systemscapable of reasoning, planning, and acting with minimal human intervention. Build multi-agent systems, memory architectures, and goal-oriented behavior loopsto 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 agentsin real-world or simulated environments (web navigation, API integration, workflow automation). Optimize for performance, safety, interpretability, and alignmentof autonomous agents. Collaborate with ML engineers, product managers, and domain expertsto ensure AI solutions are aligned with user needs and ethical standards. Stay abreast of the latest researchin AGI, reinforcement learning, LLM reasoning, and multi-agent collaboration. Work with cloud-based AI platformssuch as Azure AI Foundry, AI Hub, AI Agents, or similar AWS/GCP artifacts for scalable, production-ready deployments. Requirements: Bachelor’s or master’s degreein computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred for research-focused roles). Proven experiencedeveloping intelligent agents, autonomous systems, or LLM-based tools. Strong Python programming skillsand familiarity with ML libraries (PyTorch, LangChain, Hugging Face, Ray). Deep understandingof 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 MSSQLfor end-to-end application development. Experience with SQL data manipulation, aggregation, and cross-database compatibility

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