Sr. AI Engineer

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 industrys first Process Reasoning Engine (PRE) and specialized AI agents combines process discovery RPA end-to-end orchestration document processing and analyticsall 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:

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 embeddingretrieval 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