OPEN ROLE — VIA SYMPHONI HR

AI Engineer.

BengaluruHybrid5–8 yearsPosted 2026-08-26

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a globally recognized leader in the accounting and finance industry, known for its extensive professional services and innovative solutions. They operate on a large scale, serving a diverse international clientele with a commitment to excellence and technological advancement. The company fosters a collaborative and dynamic work environment, encouraging continuous learning and professional growth.

About the role.

This role is for an AI Engineer to join a forward-thinking team in Bengaluru, focusing on the development and deployment of advanced AI solutions. You will be instrumental in building and maintaining robust AI systems, leveraging your expertise in Python and agentic platforms. The position offers a unique opportunity to contribute to cutting-edge projects within a leading professional services firm.

What you will do.

  • Develop and deploy multi-agent AI systems using Python and various agentic platforms
  • Design and implement CI/CD pipelines for AI applications
  • Apply strong prompt engineering techniques to optimize AI model performance
  • Collaborate with cross-functional teams to integrate AI solutions into existing workflows
  • Evaluate and select appropriate AWS services for different AI use cases
  • Contribute to the continuous improvement of AI development practices and methodologies
  • Stay updated with the latest advancements in LLMs and transformer architectures

What you bring.

  • 5–8 years of experience in AI engineering or a related field
  • Expertise in hands-on Python coding and multi-agent deployments
  • Strong working knowledge of Agent Core, Claude Code, or other low-code agentic platforms
  • Experience with AWS, including understanding of service selection for various use cases
  • Proven capabilities in prompt engineering
  • Experience in deployment and CI/CD pipelines
  • Good understanding of Large Language Models (LLMs) and transformers
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