AI Agentic Developer / AI Expert

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.