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1 day ago
Our organization is seeking an experienced Agentic AI Architect to design and implement cutting-edge agentic AI systems.
Required Skills and Qualifications:- Hands-on experience in agentic AI/multi-agent systems with a minimum of 2 years of experience.
- Proficiency in LangChain, CrewAI, AutoGen, or equivalent frameworks.
- Strong background in Python programming language.
- Experience with prompt engineering, tools integration, and chaining logic.
- Solid understanding of LLM APIs, RAG, vector stores, tool use, and memory architectures.
- Hands-on experience with open-source and commercial LLMs (e.g., GPT-4, Claude, Gemini, Mistral).
- Experience deploying AI agents in cloud-native environments (AWS, GCP, Azure).
- Ability to lead architectural discussions, PoCs, and hands-on development in fast-paced environments.
- Model-cost profiling and budgeting (API call minimization, batch vs. streaming)
- Latency tuning for real-time agents, Autoscaling strategies.
- Exposure to Autonomous AI agents (AutoGPT, BabyAGI, CAMEL, MetaGPT).
- Understanding of LLM fine-tuning, adapters, and RLHF.
- Experience with agent simulation, environment modeling, or reinforcement learning is a plus.
- Familiarity with compliance, privacy, and safety in GenAI deployments.
- Prior experience in building domain-specific agents (Lifescience, healthcare, Pharma) is beneficial.
The ideal candidate will have a strong understanding of multi-agent collaboration models and be able to design and implement reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.
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