AIML Engineer

3 weeks ago

Delhi, India Atyeti Inc Full time

`
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.

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