AI Engineer

About the Role

We are seeking passionate and innovative AI Engineers to design develop and deploy AI powered applications using modern Generative AI technologies. The ideal candidate will work on

Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AI Agents semantic search

systems vector databases and cloud-native AI solutions to build scalable and production-ready

applications.

Key Responsibilities

Design develop test and deploy AI-powered applications and intelligent automation

solutions.

Build and optimize applications utilizing Large Language Models (LLMs) and Generative AI

technologies.

Develop and maintain Retrieval-Augmented Generation (RAG) systems and AI Agent

workflows.

Implement semantic search solutions using vector databases and embedding models.

Integrate AI solutions with enterprise systems APIs and data platforms.

Develop automation workflows using tools such as n8n and related platforms.

Deploy and manage AI applications on cloud platforms including Google Cloud Platform

(GCP) AWS or Microsoft Azure.

Collaborate with cross-functional teams to translate business requirements into AI-driven

solutions.

Ensure scalability security performance and reliability of AI applications.

Stay updated with emerging AI technologies frameworks and industry best practices.

Required Qualifications

Bachelors degree in Computer Science Software Engineering Artificial Intelligence Data

Science Information Technology or a related field.

01 year of hands-on experience in AI/ML Generative AI Conversational AI or LLM-based

application development.

Understanding of AI application development and deployment lifecycle.

Familiarity with cloud computing platforms and enterprise data environments.

Technical Skills

Python Programming Large Language Models (LLMs) LangChain & LangGraph RetrievalAugmented Generation (RAG) AI Agents & Workflow Automation n8n Vector Databases

(ChromaDB) PostgreSQL BigQuery Google Cloud Platform (GCP) REST APIs & Postman VS

Code Semantic Search & Embedding Technologies

Soft Skills

Strong verbal and written communication skills

Problem-solving and analytical thinking

Presentation and stakeholder management skills

Ability to work independently and collaboratively

Ability to meet deadlines in a fast-paced environment

Strong attention to detail and confidentiality standards

Preferred Qualifications

Experience with cloud-native AI deployments.

Knowledge of enterprise data integration and analytics platforms.

Exposure to AI automation and conversational AI solutions.

Familiarity with modern software development and DevOps practices.

What We Offer

Opportunity to work on cutting-edge AI and Generative AI projects.

Exposure to enterprise-grade AI solutions and cloud technologies.

Collaborative and innovation-driven work environment.

Professional growth and learning opportunities in emerging AI domains.