AI Engineering Role

GSK · Bengaluru We are seeking a highly skilled AI Engineer to join our team in Bengaluru, Luxor North Tower. As the deepest hands-on engineering role in AI Engineering, you will personally build the most complex AI solutions, lead key engineering problems, and develop reusable components for the team. Job Purpose: The role involves hands-on engineering of complex AI solutions in production, building reusable components, libraries, and patterns for agent and platform workstreams. You will work on the agentic framework build and AI solution engineering, focusing on AI Engineering (agentic framework build and AI solution engineering). Key Responsibilities: Personally build the most complex AI solutions using LangChain, LlamaIndex, vector databases, and production Python. Build the shared SDK, evaluation harness, and reusable components for the agent and platform workstreams. Lead the hardest engineering problems in the agentic framework build. Develop reusable engineering components, libraries, and patterns for the wider team. Build to the architecture specification and raise design problems early. Write tests and documentation to vendor handover standard. Contribute to CI/CD pipelines and engineering tooling for AI workloads. Integrate agents with Splunk, Microsoft Sentinel, CrowdStrike, and ServiceNow. Mentor engineers and review their code. Bring one toolchain change a quarter to the team with a working spike and a migration cost. Use approved AI tools to improve productivity and team ways of working. Basic Qualifications: 10+ years in AI or software engineering with a relevant technical degree. Domain focus: AI Engineering (agentic framework build and AI solution engineering). Hands-on engineering of complex AI solutions in production. Agent build in production Python and Kubernetes. LLM integration, prompt-to-action engineering, LangChain or LlamaIndex orchestration. RAG pipeline engineering end to end. LLM application security in code. Preferred Qualifications: CI/CD pipelines for AI and ML platforms. LLM evaluation frameworks. AI red-teaming tools. Cloud platform engineering on Azure or GCP. Code review of junior engineers' work. Benefits: [No benefits mentioned]