Agentic AI Engineer/Remote

Job Description- Agentic AI Engineer 

Location:  Remote
 

Key Responsibilities

• Design, develop, and deploy AI agents and multi-agent systems using LLMs.
• Build agent workflows involving planning, reasoning, tool calling, memory, and task execution.
• Work with frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.
• Integrate LLMs such as OpenAI, Gemini, Claude, or open-source models into applications.
• Develop RAG pipelines, vector search, embeddings, and knowledge-based AI systems.
• Integrate agents with APIs, databases, enterprise applications, and external tools.
• Implement prompt engineering, evaluation, monitoring, and guardrails for AI agents.
• Optimize AI applications for accuracy, latency, scalability, and cost.
• Collaborate with product, engineering, and data teams to convert business requirements into AI solutions.

Required Skills

• Strong Python programming skills.
• Good understanding of LLMs, Generative AI, NLP, and machine learning.
• Hands-on experience with RAG, embeddings, vector databases, and prompt engineering.
• Understanding of agentic architectures, tool/function calling, workflows, and memory.
• Experience with APIs, REST services, databases, and cloud platforms.
• Familiarity with Git, Docker, and basic CI/CD.
• Strong problem-solving and debugging skills.