## AI EngineerApplylocations: Bengaluru, Indiatime type: Full timeposted on: Posted 2 Days Agotime left to apply: End Date: September 30, 2026 (30+ days left to apply)job requisition id: JR1447**About Us**Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.**Job Role : AI Engineer****Experience – 2-5 Years****Full-Time · Bangalore (Onsite)**Education:Bachelor's or Master's in CS, AI/ML, Data Science or equivalentpractical experience**EXPERIENCE**2-5 years in software engineering; 2+ years building AI-powered or automation solutions in productionEvidence of delivering complete, working solutions — not just experimental or prototype work**CERTIFICATIONS (PREFERRED)**Cloud AI certifications: AWS, Azure, or GCPRPA platform certifications: UiPath or Automation Anywhere**SCOPE & GROWTH PATH**Implements designs under Senior Engineer guidanceGrows toward independent architecture ownershipDevelops fine-tuning expertise as a growth area in roleProgresses toward leading stakeholder discovery independently**RESPONSIBILITIES****SKILLS:****AGENTIC AI**Hands-on with LangChain/LangGraph, AutoGen, or CrewAICore agent patterns: tool use, memory, multi-step reasoning, output validationLLM APIs (OpenAI, Anthropic, Gemini, or open-source); structured prompt engineering**RAG & VECTOR INFRASTRUCTURE**End-to-end RAG pipelines: ingestion, chunking, embedding,retrieval evaluationFamiliarity with at least one vector database; ability to diagnose & improve retrieval quality**RPA**Hands-on with UiPath, Automation Anywhere, or Power AutomateBot workflows with exception handling, logging & integration with agent layers**ENGINEERING**Strong Python; cloud AI services; APIs, data pipelines & event-driven systems**NICE TO HAVE**Exposure to LoRA/QLoRA fine-tuning (growth area); agent observability tooling (LangSmith, Arize)**Responsibilities****AGENT DEVELOPMENT & IMPLEMENTATION**Build and maintain multi-agent workflows from Solution designs document into production-ready implementationsImplement tool integrations (APIs, ERP, CRM, ITSM) with error handling & graceful degradation**RAG & KNOWLEDGE SYSTEMS**Build end-to-end RAG pipelines: ingestion, chunking, embedding, vector store & retrieval evaluationMonitor and improve retrieval quality; integrate RAG as knowledgebackend for agents**RPA & HYBRID AUTOMATION**Develop and maintain RPA task bots; implement AI agent RPA handoff logic**PRODUCTION & QUALITY**Write unit & integration tests; contribute to CI/CD pipelines & prompt versioningMonitor deployed systems; participate in incident response for agent failure modes**COLLABORATION & GROWTH**Work closely with Senior Engineers, taking increasing ownership of components over timeParticipate in stakeholder use-case discovery; document pipelines & agent configurations clearlyExperience in collaborating with cross-functional teams to gather requirements, author technical documentation, and communicate complex AI solutions and risks to both technical and non-technical stakeholdersStrong verbal, written communication, and presentation skillsAll unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.