Sr. AI Engineer
Automationanywhere · Bengaluru, India ·
- Seniority
- Senior
- Employment
- Full time
- Category
- AI engineering
- Experience
- 2+ years
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The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
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.
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