AI Engineer (Senior)

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IDStar

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
MySQL PostgreSQL Azure Modular Data Extraction Docker AWS

Job Description

Company Description

IDstar is an IT Consultant that focuses on Business Transformation Solutions, providing IT Outsourcing, RPA Solutions, and Data Extraction services on a global scale. With a team of 250+ specialized IT professionals, IDstar offers over 205+ automation solutions and 10+ proven data extraction templates to help more than 25+ companies adapt to the digital world.


Job Overview

Develop and deploy enterprise-grade AI systems including client-facing GenAI-based chatbot applications and autonomous Agentic AI solutions. Build AI agents with advanced reasoning, planning, and tool-calling capabilities that execute end-to-end business processes in production environments. Ensure systems meet high reliability standards, are modular and maintainable, and align with industry best practices. Collaborate with cross-functional teams in an agile environment while mentoring junior engineers to deliver scalable AI solutions.


Requirements

  • Minimum a year of experience in AI/ML engineering with focus on production implementations
  • Experience Chatbot and AI Engineer 5-7 years
  • Strong Python-first engineering skills for AI application and backend development
  • Experience with agent frameworks such as LangChain, LlamaIndex, CrewAI, or custom orchestration solutions
  • Deep understanding of AI agent architecture including reasoning loops (planner-executor), memory management, and tool integration
  • Experience with LLM orchestration, state management, error handling, and multi-step workflow design
  • Proficiency with relational databases (PostgreSQL/MySQL)
  • Hands-on experience with Docker and cloud platforms (AWS, GCP, or Azure) for deployment
  • Ability to integrate AI systems with backend systems, APIs, databases, and third-party services
  • Experience writing modular, maintainable code aligned with tech standards and best practices
  • Strong collaboration skills to work with Product Owners, Business Partners, Business Units, and engineering teams in agile delivery
  • Experience deploying and maintaining AI systems in production with continuous iteration



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