AI Engineer - GO/JC/4594/2026

Golden Opportunities; Khordha; Sur place; INR 1 800 000 - 2 800 000; Plein temps

Résumé du poste

Golden Opportunities in India seeks an AI Engineer with 5+ years of experience to design and deploy scalable AI solutions, focusing on NLP and LLMs. Collaborate with data engineers and product teams to translate business needs into robust models.

Role requires hands-on Python, ML frameworks (TensorFlow/PyTorch), SQL/ETL, and cloud familiarity (AWS/Azure/Google). Leverage LangChain, vector databases, and RAG architectures for production-ready AI capabilities.

Qualifications

• Proficient in Python; AI model development with NLP and LLMs.
• Working knowledge of SQL and ETL design patterns.
• Familiar with AI frameworks; vector databases, LangChain, LangGraph; RAG and prompt engineering.
• Experience with multi-agent AI architectures and orchestration (MCP/A2A).
• Knowledge of ML algorithms and deep learning; predictive modeling.
• Strong data modeling skills; transform data with SQL.
• Familiar with APIs, RESTful services and data connectors.
• Experience with GitLab and CI/CD pipelines.
• Big Data analytics using Hybrid Cloud and on-prem.
• Proven experience deploying AI models; deep learning techniques.
• Strong ML frameworks: TensorFlow, PyTorch.
• Experience with NLP techniques and tools.
• Cloud platforms (AWS/Azure/Google Cloud) for AI deployment.

Connaissances

Python

NLP

LLMs

SQL

ETL

ML algorithms

AI/ML

Formation

Bachelor's degree / MBA

Outils

TensorFlow

PyTorch

LangChain

LangGraph

vector databases

GitLab

CI/CD

REST APIs

Big Data

Description du poste

Job Title: AI Engineer

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.