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AI Engineer

AI Engineer

Confidential JobsThiruvananthapuram, IN
21 hours ago
Job description

Role : AI Product Engineer

Location : Jakarta (Relocation support provided by the organization)

YOE : 1 to 7 years

Must-Have Skills :

  • Hands-on experience with D eployment
  • Expertise in AI Agents, Generative AI, and Large Language Models (LLMs)
  • Understanding of Conversational AI frameworks, Langchain etc
  • Experience working with LLaMA or similar open-source LLM architectures

Key Responsibilities :

1) AI Powered Automation & Operational Scaling

  • Lead the development and integration of cost effective AI systems, leveraging LLMs and AI agents to optimize business operations, automate workflows, and improve customer support processes.
  • Implement AI-based self serve tools to reduce operational dependencies.
  • Collaborate with product and engineering teams to integrate AI driven automation into products, customer support, and internal operations.
  • Identify and implement AI tools to enhance team productivity, GTM strategies, and business scalability.
  • 2) AI Systems Architecture & Development

  • Set up evaluation frameworks for AI systems & drive experimentations to optimize performance
  • Lead the development and integration of AI agents for business automation (e.g., customer support, operations, GTM workflows).
  • Rapidly prototype with AI tools iterating from proof-of-concept (POC) to full-scale production deployment, aim to minimize software development costs and maximize ROI
  • 3) Technical Leadership & Strategy

  • Assist in developing AI roadmaps and strategies to drive innovation and long term efficiency.
  • Ensure AI solutions align with business objectives, compliance standards, and scalability needs.
  • Establish best practices for AI governance and continuously drive learning within the team.
  • Preferred Qualifications :

  • Experience in natural language processing (NLP) and conversational AI development.
  • Familiarity with cloud platforms AWS / GCP / Azure.
  • Strong problem-solving and analytical skills with a focus on performance optimization.
  • Excellent communication skills to collaborate with cross-functional teams effectively.
  • Experience with machine learning frameworks and tools
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