AI Architect

We are seeking a visionary AI Architect to lead the design and development of our next generation

• Agentic AI Studio a platform focused on intelligent, autonomous GenAI agents capable of
• reasoning, decision-making, and multi-step task execution across enterprise workflows.
• This is a hands-on architecture leadership role, where you will work at the intersection of LLMs,
• cognitive agents, tool use, and multi-agent orchestration, collaborating with product, research, and
• engineering teams to build scalable systems that go beyond traditional prompt engineering.

• 10+ years (including 4+ years in GenAI and autonomous agent systems)
• Proven experience designing LLM-powered agents with long-term memory, tool-use, planning, and goal-directed reasoning
• Strong expertise in agentic frameworks like AutoGen, CrewAI, LangGraph, ReAct, CAMEL,and BabyAGI
• Experience in multi-agent orchestration, task delegation, and collaborative planning between agents
• Deep knowledge of RAG pipelines, vector search (e.g., FAISS, Weaviate, Pinecone), and embedding strategies
• Strong proficiency in LLM fine-tuning (SFT, LoRA, PEFT) and working with Hugging Face, OpenAI, Claude, etc.
• Skilled in building and integrating tool-augmented agents using APIs, retrieval plugins, code execution, etc.
• Familiarity with LangChain, LangGraph, LangFlow, and other orchestration librarie
• Deep hands-on with Python, FastAPI, cloud services (AWS, GCP, Azure), and infrastructure automation (Terraform, CI/CD)
• Exposure to cognitive architectures (SOAR, ACT-R, OpenCog, Leabra)
• Understanding of agent simulation environments, reinforcement learning, or curriculum-based training
• Experience integrating agents into LMS, enterprise SaaS, or knowledge work platforms
• Knowledge of event-driven, goal-based task scheduling and real-time coordination systems
• Familiarity with Langfuse, PromptLayer, Traceloop, or custom observability pipelines for agents
• Prior work on memory management, context windows, and scalable vector DB partitioning
• Defining the overall architecture of Agentic AI Studio, from agent lifecycle to orchestration and observability