AI Agentic Developer

16 hours ago

New Delhi, India CybeReconN Full time

Company Description CybeReconN aims to develop next-generation foundational large language models that promise to redefine the industry. We are at the forefront of AI innovation, focusing on creating sophisticated and cutting-edge technologies that drive advancements in various sectors. Join us in our mission to revolutionize the AI landscape and make impactful contributions to the field.Role Description This is a full-time on-site role based in Chandigarh for an AI Agentic Developer / AI Expert. The role involves developing, testing, and implementing advanced AI models, particularly in the areas of neural networks and natural language processing. Day-to-day tasks include pattern recognition, software development, and collaborating with cross-functional teams to deliver innovative AI solutions.Qualifications Strong background in Pattern Recognition and Computer Science Proficiency in Neural Networks and Natural Language Processing (NLP) Experience in Software Development Bachelor's or Master's degree in Computer Science, AI, or related field Ability to work collaboratively in an on-site team environment Excellent problem-solving skills and analytical thinking Experience in developing large-scale AI models is a plusWhat You’ll Do: Design, develop, and deploy AI agents capable of autonomous decision-making, tool use, and multi-step reasoning. Architect and optimize agentic workflows using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, or custom solutions. Integrate LLMs with external APIs, databases, and real-time data sources to enable dynamic, context-aware behavior. Collaborate with product, research, and engineering teams to bring agentic AI from prototype to production. Stay ahead of the curve on emerging trends in agentic AI, multi-agent systems, and AI safety/alignment.Who You Are: Deep expertise in AI/ML, particularly in LLMs, agentic systems, and prompt engineering. Strong software engineering skills (Python preferred; experience with FastAPI, Docker, cloud platforms a plus). Hands-on experience building and deploying autonomous agents or multi-agent systems. Familiarity with vector databases, RAG, fine-tuning, and evaluation frameworks. A problem-solver with a hacker mindset—and a passion for ethical, reliable AI.Bonus Points If You Have: Published research or open-source contributions in agentic AI. Experience with reinforcement learning, symbolic AI, or neuro-symbolic systems. Background in robotics, cognitive architectures, or human-AI collaboration.

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