AI/ML Software Engineer

Quantbot; India; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Job summary

Quantbot seeks a strong AI engineer to design and deploy advanced AI systems powered by LLMs and multimodal architectures. You will build end-to-end GenAI pipelines including data ingestion, embeddings, retrieval, and inference, collaborating across data science, engineering, and product teams.

The role emphasizes hands-on development, practical ML/DL implementation skills, and experience with logic-driven AI tooling and cloud platforms. Strong academic credentials and project work are valued.

Qualifications

• B.Tech or Master’s in CSE, IT, EC, AI/ML/DL or related field with strong academic record.
• Hands-on proficiency in Python and related libraries.
• Solid knowledge of NumPy, Pandas, Numba, and Scikit-learn.
• Strong grounding in data structures, algorithms, OS, DBMS, and basic SQL.

Responsibilities

• Design, build, fine-tune, and deploy AI systems powered by LLMs, VLMs, and multimodal architectures.
• Develop multimodal AI systems combining text, images, documents, audio, and structured data.
• Build end-to-end GenAI pipelines including data ingestion, embeddings, retrieval, inference, and feedback loops.

Skills

Python

NumPy

Pandas

Numba

Scikit-learn

Data Structures

Algorithms

Operating Systems

DBMS

SQL

ML Theory

Deep Learning

Generative AI

LLMs

Data Engineering

Visualization

Education

B.Tech/Master's in CSE/IT/EC/AI/ML

Tools

LangChain

LangGraph

LlamaIndex

LangServe

ADK

NeMo

Copilots

Agent SDK

OpenAI Assistants

TensorFlow

PyTorch

Keras

Prompt engineering

RAG

Fine-tuning

Agentic workflows

Git/GitHub

AWS/Azure/GCP

MLOps/LLMOps

Job description

Batch: 2023/2024/2025/2026.

Requirements

• - B.Tech/Master's degree in CSE, IT, EC, AI/ML/DL, or a relevant field
• - Strong academic record
• - Hands-on proficiency in Python
• - Knowledge of NumPy, Pandas, Numba, and Scikit-learn
• - Solid understanding of Operating Systems, DBMS, Data Structures, and Algorithms
• - Basic proficiency in SQL
• - Strong theoretical understanding of Machine Learning, Deep Learning, Generative AI, LLMs, statistical and probabilistic modeling, data engineering, and visualization

Responsibilities

• - Design, build, fine-tune, and deploy AI systems powered by LLMs, VLMs, and multimodal architectures
• - Develop multimodal AI systems combining text, images, documents, audio, and structured data
• - Build end-to-end GenAI pipelines including data ingestion, embeddings, retrieval, inference, and feedback loops

Preferred Skills

• - LangChain
• - LangGraph
• - LlamaIndex
• - LangServe
• - ADK
• - NeMo
• - Copilots
• - Agent SDK
• - OpenAI Assistants
• - TensorFlow, PyTorch, or Keras
• - Prompt engineering
• - RAG
• - Fine-tuning
• - Agentic workflows
• - Git/GitHub
• - AWS/Azure/GCP
• - MLOps/LLMOps
• - Relevant academic projects, internships, or Kaggle competitions