AIML Engineer

Job Title: AI/ML Engineer
Experience- 4-7 yrs
Location: Gurugram (Hybrid)
Budget- 16-22 LPA
Full-Time
NP- Immediate Joiners to 15 Days Preferred

Candidates with prior experience in reputed MNCs preferred.

Job Summary
Quadrafort is looking for a highly skilled AI/ML Engineer with strong expertise in Machine Learning Deep Learning NLP and Generative AI technologies. The ideal candidate should have hands-on experience in building scalable AI solutions using LLMs RAG pipelines AI Agents and modern ML frameworks.

The role requires strong problem-solving capabilities production-level AI implementation experience and the ability to work in a fast-paced Agile environment.

Key Responsibilities
Design develop and deploy scalable AI/ML solutions for enterprise applications.
Build and optimize Generative AI applications using LLMs RAG pipelines LangChain and AI Agents.
Develop intelligent NLP-based systems including embeddings semantic search classification and conversational AI.
Implement end-to-end ML pipelines including data preprocessing feature engineering model training validation deployment and monitoring.
Work with vector databases such as Pinecone or FAISS for semantic retrieval systems.
Develop REST APIs and AI services using FastAPI or similar frameworks.
Collaborate with cross-functional teams including Data Engineers DevOps Product Teams and Business Stakeholders.
Optimize AI models for performance scalability cost efficiency and latency.
Ensure proper documentation version control and deployment practices.

Required Skills
Programming & Databases
Python
SQL
AI/ML Technologies
Machine Learning
Deep Learning
NLP
Predictive Modeling
Feature Engineering
Model Evaluation & Optimization
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Prompt Engineering
LangChain / LangGraph
AI Agents / Agentic AI
OpenAI APIs
Hugging Face
Frameworks & Tools
Scikit-learn
TensorFlow
PyTorch
FastAPI
Pandas / NumPy
Vector Databases
Pinecone
FAISS
Cloud & DevOps
AWS (EC2 S3 SageMaker Bedrock)
Docker
Git

Experience Required
4–7 Years of relevant experience in AI/ML and Generative AI technologies.
Strong hands-on project experience in production-grade AI systems.
Experience working in Agile development environments.

Required Skills:

AI/ML Python SQL Machine learning Deep Learning LLM RAG NLP Gen AI AI Agents Agentic AI Pytorch Tensorflow Langchain AWS OpenAI