Artificial Intelligence Engineer Jobs in Bangalore/Bengaluru – GenAI, LLM, Python

DigitalXNode; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

DigitalXNode in Bangalore, India is hiring for an AI-focused engineer to design and deploy GenAI applications. You will build scalable LLM-powered solutions, develop RAG pipelines, and create AI agents using LangGraph while integrating NLP systems.

Join a fast-paced environment emphasizing scalable architecture, API development with Python/FastAPI, and robust data handling across SQL/NoSQL databases. Strong collaboration and CI/CD practices are essential.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3–10 years of experience in AI/GenAI
• Hands-on with LLMs, RAG pipelines, NLP

Responsibilities

• Design and deploy LLM-based Generative AI applications.
• Build scalable RAG pipelines.
• Develop AI agents and workflows using LangGraph.
• Implement NLP solutions.
• Work with knowledge graphs and semantic layers.
• Build APIs using Python and FastAPI.
• Optimize SQL/NoSQL databases for performance.
• Contribute to system architecture, microservices, and scalable systems.
• Follow CI/CD, Git workflows, and code review practices.

Skills

GenAI

LLMs

RAG pipelines

NLP

Python

FastAPI

API development

SQL

NoSQL

System design

Scalable architecture

CI/CD

Git workflows

LangGraph

Education

Bachelor’s degree in Computer Science/Engineering

Tools

LangGraph

Git

CI/CD pipelines

FastAPI

Job description

Join a high-impact AI team in Bangalore, India’s tech capital, building cutting-edge Generative AI (GenAI) and LLM-powered applications.
Work on scalable AI products using Python, RAG pipelines, and NLP in a fast-paced innovation-driven environment.

Experience

3–10 Years (flexible for exceptional candidates up to 12 years)

Key Responsibilities

• Design and deploy LLM-based and Generative AI applications
• Build scalable RAG (Retrieval-Augmented Generation) pipelines
• Develop AI agents and agentic workflows using LangGraph
• Implement NLP (Natural Language Processing) solutions
• Work with knowledge graphs and semantic layers
• Build APIs using Python and FastAPI
• Optimize SQL/NoSQL databases for performance
• Contribute to system architecture, microservices, and scalable systems
• Follow CI/CD, Git workflows, and code review practices

Required Skills

• Strong experience in Artificial Intelligence, Machine Learning (ML), and Generative AI (GenAI)
• Hands-on with LLMs, RAG pipelines, NLP
• Experience with LangGraph / AI workflow orchestration
• Proficiency in Python, FastAPI, API development
• Strong knowledge of SQL and NoSQL databases
• Experience in system design and scalable architecture

Good to Have

• Experience with vector databases (Pinecone, FAISS, Weaviate)
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Exposure to MLOps and AI deployment pipelines

Education

Bachelor’s degree in Computer Science, Engineering, or related field (Any Graduate with relevant experience is welcome)