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.