Save Job Back to Search Job Description Summary Similar JobsArchitect a flagship enterprise AI agent from the ground upShape AI quality, governance and AgentOps standardsAbout Our ClientThe Client is a workforce analytics and productivity technology provider serving global enterprises with a SaaS platform focused on productivity measurement, operational intelligence and workforce governance. Its solutions are used across multiple industries and geographies, supporting hundreds of enterprise customers and hundreds of thousands of users with a strong emphasis on data-driven decision-making, visibility and productivity improvement.Job DescriptionLead the architecture and development of a next-generation enterprise AI agent.Design multi-agent workflows with orchestration frameworks such as LangGraph or CrewAI.Build end-to-end agent pipelines spanning prompting, retrieval, reasoning and tool execution.Develop advanced prompt engineering frameworks, structured outputs and PromptOps practices.Create scalable RAG systems for enterprise telemetry, benchmarks and operational data.Own vector search, embedding pipelines, retrieval quality and context-grounding strategies.Establish AI evaluation frameworks, regression testing, observability and quality gates.Partner with product, engineering and data science teams to deliver trusted AI capabilities.The Successful ApplicantWe're looking for someone who has:3 to 5 years of software engineering or AI product development experience.At least 2 years building and deploying production-grade LLM applications.Strong expertise in Python and modern AI application architecture.Hands-on experience with LangChain, LangGraph, LlamaIndex or similar frameworks.Proven capability designing agentic systems, multi-step reasoning workflows and tool use.Deep understanding of RAG, vector databases, embeddings and retrieval optimisation.Demonstrated focus on reliability, evaluation, governance and production operations.What's on OfferOwnership of a strategically important AI initiative with visible business impact.Opportunity to solve complex enterprise AI and productivity intelligence challenges.High autonomy and influence over architecture, engineering standards and AI quality.Close collaboration with senior leaders across research, product and engineering.Exposure to cutting-edge work in agentic AI, productivity governance and enterprise analytics.If this role sounds interesting to you, feel free to apply.Quote job refJN-082026-7091342Job summaryFunctionAnalyticsSub SectorMachine LearningWhat is your area of specialisation?Technology & TelecomsLocationBangaloreJob TypePermanentJob ReferenceJN-082026-7091342