AI Engineer

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 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 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.