AI Engineer - Bangalore - 6 - 10 Years

AI Engineer Experience 4 to 12 years of software engineering experience with hands-on experience in AI/GenAI application development Experience building and deploying AI-enabled products, platforms, or enterprise solutions Strong software engineering fundamentals with experience across backend systems, APIs, and cloud-native applications Experience leading small teams or driving delivery across multiple engineers/workstreams Comfortable working with Product, Engineering, and Architecture stakeholders GenAI & Agentic Development Design and build GenAI applications using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or similar Develop RAG-based solutions including ingestion, retrieval, orchestration, and response generation Build agentic workflows involving tool usage, memory, and multi-step task execution Integrate LLMs and AI services into enterprise applications and business processes Drive adoption of AI-native engineering practices within the team Technical Skills Strong programming skills in Python and modern software engineering frameworks Experience with LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or equivalent Experience building APIs, microservices, and cloud-native applications Familiarity with vector databases, retrieval systems, and prompt engineering techniques Working knowledge of CI/CD, containers, and cloud deployment practices Delivery & Team Leadership Lead delivery of AI engineering workstreams and key product features Mentor and guide engineers on solution design, coding practices, and AI adoption Partner with Product and Engineering leaders to translate business requirements into scalable AI solutions Drive engineering quality, delivery predictability, and operational excellence AI Engineering Practices Define and promote best practices around prompt design, model evaluation, and AI application development Leverage AI tools to improve engineering productivity and speed of delivery Stay current with emerging AI technologies and identify opportunities to apply them within products .