AI Engineer

Automation Anywhere
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: bachelorsSkills: ["Communication","Presentation skills","Collaboration","Stakeholder management"]

Build production-ready agentic AI and automation solutions, turning solution design documents into multi-agent workflows. Own end-to-end RAG pipelines (ingestion, chunking, embeddings, retrieval evaluation) and improve retrieval quality for agent knowledge systems. Develop and maintain RPA bots with AI agent ↔ RPA handoff logic, integrate external tools/APIs, and ensure production quality through unit/integration tests, CI/CD, and incident support. Collaborate with senior engineers and stakeholders as you grow toward independent ownership.

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FursaFursa
Automation Anywhere
Automation Anywhere
2 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 32 days agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Build production-ready agentic AI and automation solutions, turning solution design documents into multi-agent workflows. Own end-to-end RAG pipelines (ingestion, chunking, embeddings, retrieval evaluation) and improve retrieval quality for agent knowledge systems. Develop and maintain RPA bots with AI agent ↔ RPA handoff logic, integrate external tools/APIs, and ensure production quality through unit/integration tests, CI/CD, and incident support. Collaborate with senior engineers and stakeholders as you grow toward independent ownership.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and maintain multi-agent workflows into production-ready implementations based on solution designs.
  • •Implement tool/API integrations (APIs, ERP, CRM, ITSM) with error handling and graceful degradation.
  • •Develop and maintain end-to-end RAG pipelines and monitor/improve retrieval quality; integrate RAG as knowledge for agents.
  • •Develop and maintain RPA task bots and implement AI agent ↔ RPA handoff logic.
  • •Write unit and integration tests, contribute to CI/CD and prompt versioning, and participate in incident response for agent failure modes.

Key Requirements

  • •2-5 years in software engineering, including 2+ years building AI-powered or automation solutions in production.
  • •Experience delivering complete, working solutions (not just experimental/prototype work).
  • •Bachelor’s or Master’s in CS, AI/ML, Data Science, or equivalent.
  • •Hands-on development with agentic AI patterns (LangChain/LangGraph, AutoGen, or CrewAICore) including tool use, memory, reasoning, and output validation.
  • •Cloud AI and RPA platform exposure, with preferred certifications in AWS/Azure/GCP and UiPath or Automation Anywhere.
Experience:2-5 yearsSoftware engineeringAgentic process automationAI-powered automation
Education:Bachelor's in CS, AI/ML, Data Science
Skills:CommunicationPresentation skillsCollaborationStakeholder management
Certifications:AWSAzureGCPUiPathAutomation Anywhere
Tech Stack:PythonLangChainLangGraphAutoGenCrewAI CoreOpenAIAnthropicGeminiRAGVector databaseUiPathAutomation AnywherePower AutomateERPCRMITSMCI/CDUnit testingIntegration testingLangSmith

Company Brief

Automation Anywhere
Provides robotic process automation (RPA) software and AI-driven automation platforms that enable enterprises to automate repetitive business processes, integrate systems, and scale digital workforce initiatives across industries.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Jose, United States
Founded: 2003
Glassdoor
Glassdoor: 3.9
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