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:

Bachelors or Masters 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

Robust verbal, written communication, and presentation skills

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer (Bengaluru)
🏢 Automation Anywhere
📍 Bengaluru