Job Title: Agentic AI Engineer
Location: Remote
Role Overview:
We are seeking an experienced Agentic AI Engineer to design, develop, and deploy advanced AI solutions leveraging LangChain, LangGraph, LangQ, and the AgenticAI framework. The ideal candidate will have a strong background in building agentic workflows, integrating LLMs with external tools, and creating scalable, production-ready AI systems.
Key Responsibilities:
Architect and implement agentic AI systems using LangChain, LangGraph, and LangQ.
Design and optimize multi-agent workflows for complex reasoning and decision-making tasks.
Integrate LLMs with APIs, databases, and external tools for dynamic, real-time operations.
Develop custom agents for retrieval, planning, and execution across diverse domains.
Ensure robustness, scalability, and security of agentic AI applications in production environments.
Collaborate with cross-functional teams to define requirements and deliver AI-driven solutions.
Conduct performance tuning, benchmarking, and continuous improvement of agentic pipelines.
Stay updated on emerging trends in Agentic AI, LLM orchestration, and autonomous systems.
Required Skills & Experience:
Strong proficiency in LangChain, LangGraph, and LangQ frameworks.
Hands-on experience with AgenticAI framework and multi-agent architectures.
Solid understanding of LLM orchestration, prompt engineering, and tool integration.
Expertise in Python and familiarity with modern AI/ML libraries (e.g., PyTorch, TensorFlow).
Experience with API development, vector databases (e.g., Pinecone, Weaviate), and retrieval-augmented generation (RAG).
Knowledge of workflow automation, state management, and graph-based reasoning.
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
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