AI Engineer

Golden Opportunities; New Delhi, Pune District, Chennai District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Golden Opportunities seeks an experienced AI/NLP expert to join its IT/ITES team in India. You will design and deploy AI models, work with NLP/LMM tools, and build scalable data pipelines using SQL, ETL patterns and cloud-based AI services.

The role requires 5+ years of hands-on experience, strong programming in Python, knowledge of AI frameworks (TensorFlow, PyTorch) and experience with multi-agent architectures, RAG, LangChain, and vector databases across multiple Indian cities including Pune,

Qualifications

• 5+ years of IT/AI experience.
• Experience with NLP and LLMs.
• Experience with SQL and ETL design patterns.
• Hands-on experience deploying AI models on cloud platforms.

Responsibilities

• Develop and deploy AI models using NLP/LLMs.
• Implement multi-agent AI architectures and orchestration workflows.
• Build scalable data pipelines using SQL, ETL patterns and data connectors.
• Apply best practices in AI development, testing and deployment.

Skills

Python

NLP & LLMs

SQL & ETL

AI/ML concepts

Model deployment & cloud AI

Education

Bachelor's degree / MBA

Tools

GitLab

CI/CD pipelines

TensorFlow

PyTorch

LangChain

LangGraph

Vector databases

RAG (Retrieval-Augmented Generation)

AWS

Azure

Google Cloud

RESTful APIs

Job description

• Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai /Noida/Kolkata.
• Candidate Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai /Noida/Kolkata.
• Candidate Specification: 5+ years of Experience.
• Education: Any Bachelor s degree / MBA.
• Industry: IT / ITES.

Job Description :

• Programming Proficiency: Skilled in programming languages such as Python.
• Working knowledge of AI algorithms and model development, with a focus on NLP and LLMs.
• Knowledge of SQL and ETL design patterns.
• Good understanding of AI development frameworks, including LLM tools such as vector databases, LangChain, LangGraph, Retrieval-Augmented Generation (RAG) architectures, and prompt engineering.
• Familiar in implementing multi-agent AI architectures, including multi-agent orchestration workflows (MCP and A2A protocols).
• Good knowledge of traditional AI/ML algorithms, deep learning and predictive modelling approaches such as: decision trees, regression analysis, neural networks, classification, clustering, and other data mining techniques.
• Good analytical skills with a solid understanding of data modeling techniques to transform data using SQL.
• Familiarity in using APIs, RESTful web services and data connectors.
• Awareness with source code control systems such as GitLab and build tools for Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Big Data analytics using Hybrid Cloud and on-premises technologies Proven experience in developing and deploying AI models with strong understanding of deep learning techniques.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with NLP techniques and tools Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment.

Location - Pune, Chennai, Delhi, Bangalore, Kolkata, Hyderabad, Mumbai, Bhubaneswar, Gurgaon, Coimbatore, Noida