AI Agentic Developer / AI Expert

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 plus

What 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.