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 : Senior AI Engineer
Experience – 2-5 Years
Full-Time · Bangalore · Hybrid
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 logicPRODUCTION & 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
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.
Skills Required
- Bachelor's or Master's in Computer Science, AI/ML, Data Science or equivalent
- 2-5 years software engineering experience; 2+ years building AI-powered or automation solutions in production
- Proven delivery of complete, production-ready AI/automation solutions (not just prototypes)
- Strong Python programming skills
- Hands-on with agent patterns (LangChain, LangGraph, AutoGen, CrewAICore) and structured prompt engineering
- Experience with LLM APIs (OpenAI, Anthropic, Gemini or open-source LLMs)
- Build and maintain end-to-end RAG pipelines: ingestion, chunking, embedding, vector store and retrieval evaluation
- Familiarity with at least one vector database and ability to diagnose/improve retrieval quality
- Hands-on experience with RPA platforms (UiPath, Automation Anywhere, or Power Automate) and bot workflows with exception handling
- Experience with cloud AI services (AWS/Azure/GCP), APIs, data pipelines and event-driven systems
- Write unit and integration tests; contribute to CI/CD pipelines and prompt/version control
- Monitor deployed systems and participate in incident response for agent failure modes
- Cloud AI certifications (AWS, Azure, or GCP)
- RPA platform certifications (UiPath or Automation Anywhere)
- Exposure to LoRA/QLoRA fine-tuning and agent observability tooling (LangSmith, Arize)
Automation Anywhere Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Automation Anywhere and has not been reviewed or approved by Automation Anywhere.
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Fair & Transparent Compensation — Pay is considered competitive to above average in many core roles, with sales and senior go-to-market positions noting strong on-target earnings and competitive packages. Feedback suggests several technical and leadership roles also view salary as a recurring strength.
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Leave & Time Off Breadth — Time off includes unlimited PTO in many postings, company holidays, volunteer days, and additional quarterly “Achievement Days” to unplug. Feedback suggests this breadth provides meaningful opportunities to rest and recharge.
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Flexible Benefits — Work practices emphasize flexible and hybrid arrangements, with remote options supported across roles. Feedback suggests this flexibility is a notable component of the total rewards experience.
Automation Anywhere Insights
What We Do
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity. With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies. Industry Awards and highlights: · Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation · Named a Leader in Forrester Wave · Named a Leader and Star Performer in Everest Peak Matrix · Named a Leader in Nelson Hall NEAT Intelligent Automation Report · G2 Crowd 2020 Best Software Company · First Cloud-native digital workforce platform · 850+ pre-built, intelligent automation solutions · Bot security and IP protection · SaaS packages · Over 1.4M courses completed in Automation Anywhere University · Free AI-powered Community edition Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday
