Innovative AI Solutions Architect

Job Title : Creative Intelligence Architect

We are seeking a highly skilled and innovative professional to play a key role in designing, developing, and deploying intelligent autonomous systems. As a Creative Intelligence Architect, you will be working at the forefront of AI, architecting and implementing intelligent agents that can autonomously perform complex tasks, make decisions, and continuously learn.

In this position, you will be responsible for fine-tuning and deploying Large Language Models (LLMs), integrating them into our frameworks to create adaptive, intelligent agents. The role requires a deep understanding of AI protocols, workflows, and advanced concepts in model inference, to create AI solutions that can autonomously reason, learn, and act.

Key Responsibilities :

• Build Autonomous Agents : Design, develop, and deploy intelligent agents using various frameworks like LangGraph, AutoGen, Crew AI, and other related platforms.
• AI Workflow Integration : Develop and implement AI workflows that leverage LLMs, external tools, and memory systems to support modular agent systems that autonomously interact and adapt in real-time.
• LLM Optimization & Fine-Tuning : Fine-tune LLMs to fit specific use cases, utilizing advanced techniques like LoRA, QLoRA, PEFT, and continuous model retraining to improve performance.
• Autonomous System Design : Create intelligent agents that can interact with each other and external systems in real-time, handle complex decision-making processes, and adapt based on context and feedback loops in dynamic environments.
• Agent-to-Agent Protocols (A2A) : Implement and optimize A2A communication protocols, ensuring that multiple agents can collaborate, exchange information, and autonomously solve problems.
• Memory & Knowledge Management : Develop systems for memory management and contextual awareness within autonomous agents, ensuring they retain and utilize prior knowledge to enhance their capabilities.
• Scalable Inference Management : Optimize the inference of LLMs, ensuring the model can scale effectively across distributed systems, using caching techniques, vector databases (e.g., FAISS, OpenSearch, ChromDB, Pinecone, Milvus), and high-performance computing environments.

Required Skills and Qualifications :

Benefits :

As a Creative Intelligence Architect, you will have the opportunity to work on cutting-edge AI projects, collaborating with a talented team of professionals who share your passion for innovation and excellence. You will be empowered to take ownership of your projects, driving results and making a meaningful impact in the field of artificial intelligence.