Principal Engineer

Skip to main contentSign InPrincipal Engineer page is loadedPrincipal EngineerApplylocationsBengaluru, Indiatime typeFull timeposted onPosted 12 Days Agotime left to applyEnd Date: September 30, 2026 (30+ days left to apply)job requisition idJR1443About UsAutomation 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 SummaryWe are seeking a Cloud Generative AI and RAG Engineer with 2–3 years of professional experience to build, scale, and optimize GenAI applications. He/She will focus on building robust Retrieval-Augmented Generation (RAG) pipelines, writing clean Python production code, and deploying these solutions onto secure cloud infrastructure.Location : Bangalore(Onsite)Experience - 5 - 6+ YearsKey ResponsibilitiesGenAI & RAG Development: Design, implement, and optimize production-grade Retrieval-Augmented Generation (RAG) pipelines to improve LLM accuracy.Python Engineering: Write clean, modular, and highly efficient backend code using Python frameworks like FastAPI or LangChain.Cloud Architecture: Deploy, secure, and scale GenAI applications on cloud platforms (AWS, GCP, or Azure).Vector Database Management: Manage and tune Vector Databases to ensure fast, relevant semantic search retrieval.API Integration: Connect application frontends and internal data systems with enterprise LLMs via secure APIs.System Monitoring: Track LLM token usage, response latency, and retrieval accuracy in production.Required Skills & QualificationsExperience: 5–6+ years of cloud engineering experience and AI solution development.Python Mastery: Expert-level Python skills, with a focus on asynchronous programming and API development.GenAI Ecosystems: Hands-on experience using frameworks like LangChain,  LlamaIndex, Hugging Face or any similar framework.Vector Databases: Practical experience with databases such as Vespa, Pinecone, Milvus, Chroma, or any similar database.Cloud Infrastructure: Proven experience in deploying band  managing cloud compute (Docker, Kubernetes) and serverless services.Prompt Engineering: Ability to systematically design and optimize prompts for specific business use cases.Preferred QualificationsFamiliarity with fine-tuning open-source LLMs (e.g., Llama, Mistral).Experience setting up MLOps/LLMOps tracking tools (e.g., LangSmith, Weights & Biases).Cloud certifications focusing on DevOps or Developer pathways.EducationBachelor’s degree in Computer Science, Software Engineering, or a related technical fieldAll 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.Loading