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 equivalent practical experience EXPERIENCE 2-5 years in software engineering; 2+ years building AI-powered or automation solutions in production Evidence of delivering complete, working solutions — not just experimental or prototype work CERTIFICATIONS (PREFERRED) Cloud AI certifications: AWS, Azure, or GCP RPA platform certifications: UiPath or Automation Anywhere SCOPE & GROWTH PATH Implements designs under Senior Engineer guidance Grows toward independent architecture ownership Develops fine-tuning expertise as a growth area in role Progresses 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 evaluation Familiarity 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 layersENGINEERING 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 clearly Experience 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 stakeholders Strong verbal, written communication, and presentation skills All 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. 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.