Job Description
Job Title: Agentic AI Architect
Experience Level: 8+ years (minimum 2–3 years in ML, Gen AI and Multi-Agent Systems)
Key Responsibilities:
Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, CrewAI, AutoGen, etc.).
Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents.
Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.
Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support).
Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG).
Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints.
Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning.
Collaborate wit...
Experience Level: 8+ years (minimum 2–3 years in ML, Gen AI and Multi-Agent Systems)
Key Responsibilities:
Architect and implement agentic AI systems using modern LLM orchestration frameworks (LangChain, CrewAI, AutoGen, etc.).
Design multi-agent collaboration models including planner-solver, autonomous teams, and goal decomposition agents.
Build reusable tooling, APIs, and memory architectures for agent interaction, coordination, and context persistence.
Lead hands-on development and deployment of GenAI applications (e.g., assistants, copilots, decision support).
Evaluate and integrate LLMs (OpenAI, Claude, Mistral, LLaMA, etc.), vector databases (Pinecone, Weaviate, FAISS), and retrieval systems (RAG).
Optimize agent performance for real-time environments, reliability, scalability, and ethical constraints.
Guide teams in adopting agent frameworks, best practices, prompt engineering, and model fine-tuning.
Collaborate wit...
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