Python_ 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.