Lead I - ML Engineering - AI Engineer

UST; Thiruvananthapuram; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

UST in Thiruvananthapuram, Kerala invites an AI Engineer to design, develop, and deploy Generative AI and Agentic AI solutions for enterprise use cases. You will work on AI assistants, RAG applications, workflow automation, and AI-powered business solutions using modern AI frameworks and cloud technologies.

The role focuses on building RAG pipelines, vector search, and knowledge retrieval systems, integrating AI with enterprise apps, APIs, and databases, while ensuring performance, reliability,

Qualifications

• AI Engineer with 3–5 years of experience.
• Proficient in Python development and AI frameworks.
• Experience with RAG pipelines, vector databases and LLMs.
• Familiarity with cloud platforms (AWS/Azure) and APIs.

Responsibilities

• Design, develop, and deploy AI-powered applications and automation.
• Build and optimize RAG pipelines and knowledge retrieval systems.
• Develop Agentic AI and multi-agent workflows for enterprise use cases.
• Integrate AI solutions with enterprise apps, APIs, and databases.
• Evaluate AI applications for accuracy, latency, and scalability.
• Implement governance, observability, and guardrails for safety.
• Collaborate with teams to identify AI opportunities and drive impact.
• Stay current with emerging AI technologies.

Skills

Python Development

Generative AI

RAG Pipelines

LangChain

Vector Databases

Cloud Platforms

REST APIs

Docker

Kubernetes

Job description

Role Description

AI Engineer Experience: 3–5 Years

Role Summary

We are looking for an AI Engineer to design, develop, and deploy Generative AI and Agentic AI solutions for enterprise use cases. The candidate will work on AI assistants, RAG applications, workflow automation, and AI-powered business solutions using modern AI frameworks and cloud technologies.

Key Skills

• Python Development
• Generative AI & Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• LangChain, LangGraph, CrewAI, AutoGen or similar frameworks
• Vector Databases (OpenSearch, Pinecone, Chroma, FAISS)
• AWS Bedrock / Azure OpenAI / OpenAI APIs
• REST APIs, Docker, Kubernetes, and Cloud Platforms

Responsibilities

• Design, develop, and deploy AI-powered applications, assistants, and automation solutions.
• Build and optimize RAG pipelines, vector search, and knowledge retrieval systems.
• Develop Agentic AI and multi-agent workflows for enterprise use cases.
• Integrate AI solutions with enterprise applications, APIs, databases, and business workflows.
• Evaluate AI applications for accuracy, relevance, latency, scalability, and business outcomes using established AI evaluation frameworks and metrics.
• Implement AI guardrails, observability, monitoring, and governance practices to ensure reliable and responsible AI solutions.
• Collaborate with business and engineering teams to identify AI opportunities and deliver impactful solutions.
• Stay current with emerging AI technologies and contribute to AI innovation initiatives.