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 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.

QUALIFICATIONS

Education

Bachelor’s or Master’s in CS, AI/ML, Data Science or equivalent practical experience

Experience

4–7 years in software engineering; 3+ years building production-grade automation solutions

Demonstrated end-to-end delivery of agentic AI systems or complex enterprise RPA prototypes

Certifications (Preferred)

AWS, Azure or GCP; RPA platforms such as UiPath or Automation Anywhere

Scope

Leads solution architecture independently, owns LLM adaptation strategy end-to-end, mentors junior engineers; leads stakeholder discovery workshops

SKILLS

Agentic AI

LangChain/LangGraph, AutoGen, CrewAI

Agent patterns

tool use, memory, multi-agent coordination, guardrails, failure recovery

LLM Fine-Tuning & Adaptation

LoRA/QLoRA with HuggingFace PEFT or Unsloth; Dataset prep, evaluation benchmarking, model versioning;

Serving fine-tuned models

vLLM,GPTQ, GGUF

RAG & Vector Infrastructure

Pinecone, Weaviate, Qdrant; embeddings, retrieval evaluation

RPA

UiPath, Automation Anywhere, Power Automate in production

Engineering

Python (production quality); Cloud AI services (Bedrock,Azure, OpenAI, Vertex AI)

RESPONSIBILITIES

Agent Design & Engineering

• Architect multi-agent systems with branching logic, exception handling & human-in-the-loop escalation.
• Define agent tool integrations, memory, context management & state persistence.

LLM Adaptation Strategy

• Own fine-tuning strategy (fine-tune vs RAG vs prompt engineering) and deliver end-to-end
• Manage GPU training runs, model merging, quantization & production serving

RPA & HYBRID AUTOMATION

• Build RPA task bots as execution layers within agentic workflows
• Architect AI agent ↔ RPA handoff logic and exception management

Production & Operations

• Build agent evaluation frameworks; implement observability & tracing (LangSmith, Arize)
• CI/CD for agent/model deployments; diagnose hallucination, tool misuse & cost runaway

Stakeholder & Leadership

• Lead use-case discovery workshops; communicate architecture trade-offs to non-technical audiences

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.