AI / Automation Engineer

Role Overview

We are seeking experienced AI / Automation Engineers to support the design, development, deployment, and maintenance of AI-powered solutions across multiple business functions.

The successful candidates will be responsible for building and supporting production-grade AI applications, implementing Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, intelligent automation workflows, and AI-enabled enterprise applications.

This role requires hands-on experience delivering AI solutions from concept through deployment and operational support.

• Design, develop, deploy, and support AI-driven applications and services.
  
• Build and maintain Large Language Model (LLM) solutions for enterprise use cases.
  
• Design and implement Retrieval-Augmented Generation (RAG) solutions.
  
• Develop AI-powered automation and agentic workflows.
  
• Integrate AI capabilities into enterprise applications and business processes.
  
• Develop APIs and backend services to support AI solutions.
  
• Build and maintain CI/CD pipelines for AI applications.
  
• Implement monitoring, logging, and performance optimization frameworks.
  
• Collaborate with cross-functional teams to identify and deliver AI use cases.
  
• Ensure AI systems are secure, scalable, reliable, and production-ready.
  

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field.
  
• Minimum of 5 years' experience in software engineering or AI solution development.
  
• Demonstrated experience building and deploying AI-powered applications in production environments.
  

• Large Language Models (LLMs)
  
• Prompt Engineering
  
• Retrieval-Augmented Generation (RAG)
  
• AI Agents / Agentic Workflows
  
• Generative AI Applications
  
• NLP and AI-powered Automation
  

• Python (Mandatory)
  
• SQL
  
• Scripting (Bash or PowerShell)
  

Experience with one or more of:

• LangChain
  
• LangGraph
  
• LlamaIndex
  
• OpenAI APIs
  
• Azure OpenAI Service
  
• Anthropic Claude
  
• Vector Databases (Pinecone, FAISS, ChromaDB, pgvector)
  

Experience with one or more of:

• Microsoft Azure
  
• AWS
  
• Google Cloud Platform (GCP)
  

• GitHub Actions
  
• Azure DevOps
  
• Docker
  
• CI/CD Pipelines
  
• Monitoring and Logging Tools
  

• Strong analytical and problem-solving skills
  
• Ability to translate business requirements into AI solutions
  
• Excellent communication and stakeholder management skills
  
• Strong ownership and accountability
  
• Ability to work independently and collaboratively
  
• Continuous learning mindset