AIML Engineer

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.