Applied AI Engineer — Agentic Systems & Intelligent Automation
Location: Bengaluru, India Role overview
What you’ll do
• Build agentic systems that interpret business intent, select approved tools, manage task state, and escalate when human input is needed.
• Convert interaction recordings, application metadata, documents, and user instructions into structured process representations.
• Develop natural-language-to-structure pipelines for workflows, business rules, tool calls, and automation actions.
• Ground AI responses in enterprise data, metadata, and business rules.
• Integrate AI with SAP GUI, browser and desktop automation, APIs, and workflow engines.
• Add validation, authorization, policy controls, and recovery strategies around AI generated decisions.
• Build evaluation suites to measure accuracy, task completion, reliability, latency, and cost. • Instrument AI workflows for tracing, debugging, monitoring, and auditability.
• Collaborate with product, platform, automation, security, and domain teams to take capabilities from prototype to production.
What you bring
• Strong software engineering experience in Java or Python, including APIs, distributed systems, databases, testing, and cloud-native development.
• Practical understanding of LLMs, structured generation, tool calling, embeddings, RAG, and agent architectures.
• Experience building secure, resilient production services.
• A focus on validating model outputs before they can trigger actions.
• Strong problem-solving and communication skills, including the ability to work with domain experts.
Nice to have
• Experience with Spring AI, LangGraph, LangChain, LlamaIndex, MCP, or similar frameworks.
• Familiarity with PostgreSQL/pgvector, OpenTelemetry, Grafana, or workflow orchestration systems.
• Experience with SAP, Robot Framework, Playwright, browser automation, or RPA.
• Exposure to AI evaluation, prompt injection defenses, or enterprise knowledge systems.
