AI Agentic Developer

4 weeks ago

New Delhi, India CybeReconN Full time

Company DescriptionCybeReconN 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 DescriptionThis 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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