Role Overview :
We are seeking a highly skilled AI Engineer to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution. This role involves integrating advanced machine learning models with reasoning, planning, and interaction capabilities to build scalable, intelligent applications. The ideal candidate will have a strong foundation in LLMs , prompt engineering , and web development , with hands-on experience deploying AI-powered web applications.
Key Responsibilities :
- Design and develop agentic AI systems with autonomous task execution capabilities.
- Integrate Large Language Models (LLMs) with reasoning , planning , and interaction frameworks .
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases .
- Engineer effective prompts and workflows for LLM-based agents.
- Utilize agentic libraries (e.g., LangChain, AutoGPT, CrewAI, etc.) to build modular and scalable AI agents.
- Develop and deploy web applications that interface with AI systems.
- Collaborate with cross-functional teams to define system requirements and deliver robust solutions.
- Optimize performance, scalability, and reliability of AI-powered applications.
Must-Have Skills :
Programming : Proficiency in Python and relevant AI / ML libraries.LLMs : Experience working with models like GPT, Claude, Mistral, or open-source equivalents.Prompt Engineering : Ability to design and refine prompts for complex tasks.Vector Databases : Hands-on experience with FAISS , Pinecone , Weaviate , or Chroma .RAG Architecture : Deep understanding of retrieval-based generation pipelines.Agentic Libraries : Familiarity with frameworks like LangChain , AutoGPT , CrewAI , or similar.Web Development : Prior experience in frontend / backend development and web app deployment (e.g., using Flask, FastAPI, React, Docker).Deployment : Experience deploying applications on cloud platforms (AWS, Azure, GCP) or containerized environments.