Artificial Intelligence Engineer

UST; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

UST is seeking an Artificial Intelligence Developer to design and implement custom RAG-based AI solutions. You will build intelligent AI agents and workflow automations using n8n, integrating LLMs with enterprise systems and data sources.

Key focus areas include vector databases, embedding models, and cloud platforms (Azure/AWS/GCP), with experience in REST APIs and microservices. Collaboration with business teams will be essential to deliver AI-driven outcomes.

Qualifications

• 5+ years of software development experience.
• Strong problem-solving and communication skills.

Responsibilities

• Design and develop custom RAG-based AI solutions.
• Build intelligent AI agents and workflow automations using n8n.
• Integrate LLMs with enterprise systems and data sources.
• Optimize retrieval pipelines, prompts, and agent performance.
• Collaborate with business and technical teams to deliver AI-driven solutions.

Skills

Python development

n8n

RAG solutions

Vector databases

Embedding models

AI agents

REST APIs

Microservices

Cloud platforms

Tools

n8n

LangChain

LangGraph

CrewAI

AutoGen

Job description

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at .

Summary:

UST is looking for Artificial Intelligence Developer

• 5+ years of overall software development experience
• Strong problem-solving and communication skills

Must-have combination:

• Strong experience in Python development
• Hands-on experience with n8n workflow automation platform
• Experience in designing and building custom RAG (Retrieval-Augmented Generation) solutions
• Good understanding of:
• Vector databases (e.g., Pinecone, Chroma, Weaviate, FAISS)
• Embedding models and retrieval techniques
• Experience with AI orchestration frameworks/tools, such as:
• LangChain
• LangGraph
• CrewAI
• AutoGen or similar agent-based frameworks
• Experience building and deploying AI agents and multi-agent workflows
• Knowledge of REST APIs, microservices, and cloud platforms (Azure/AWS/GCP)

Key Responsibilities:

• Design and develop custom RAG-based AI solutions
• Build intelligent AI agents and workflow automations using n8n
• Integrate LLMs with enterprise systems and data sources
• Optimize retrieval pipelines, prompts, and agent performance
• Collaborate with business and technical teams to deliver AI-driven solutions