Applied AI Engineer

We are seeking an experienced Applied AI Engineer to join a dynamic team in Bengaluru. In this role, you will design, develop, and deploy advanced generative AI applications and intelligent agents that integrate seamlessly with enterprise systems. You will be responsible for the full lifecycle of AI solutions, from building prototypes to ensuring production-grade reliability and security.

Our client is a leading global computer software organization known for driving digital transformation through innovative technology solutions. They maintain a strong focus on scaling enterprise-grade applications and fostering a culture of continuous learning and technical excellence. With a global footprint, they empower businesses to leverage cutting-edge software to solve complex operational challenges.

Responsibilities

• Design and implement scalable AI agents and orchestration workflows to solve complex business problems.
• Develop and maintain robust AI applications using Python and modern frameworks like LangChain, LangGraph, or Semantic Kernel.
• Build and optimize RAG pipelines, including vector database management and semantic search implementation.
• Integrate AI solutions with existing enterprise data platforms, APIs, and internal systems.
• Implement automated testing and evaluation frameworks to ensure AI quality, safety, and reliability.
• Collaborate with cross-functional stakeholders to translate business requirements into technical AI specifications.
• Manage the deployment of AI workloads on cloud infrastructure such as Azure or AWS.
• Ensure all AI development adheres to responsible AI, governance, and data protection standards.

Requirements

• 8-10 years of total software engineering experience with at least 1-3 years specifically focused on building GenAI applications.
• Strong proficiency in Python and experience building enterprise-grade APIs.
• Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases.
• Deep familiarity with AI frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, or OpenAI SDK.
• Knowledge of MCP, AI gateways, and agent-to-agent tool-calling frameworks.
• Experience with CI/CD pipelines, containerization, and modern software engineering practices.
• Proven ability to host and manage AI workloads on Azure or AWS.
• Excellent communication skills with a track record of effective stakeholder collaboration.