Principal 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 Summary

We are seeking aCloudGenerative AI and RAG Engineer with 23 years of professional experience to build scale and optimize GenAI applications.He/Shewill focus on building robust Retrieval-Augmented Generation (RAG) pipelines writing clean Python production code and deploying these solutions onto securecloudinfrastructure.

Location : Bangalore(Onsite)
Experience - 5 - 6 Years

Key Responsibilities

• GenAI & 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.
• CloudArchitecture:Deploy secure and scale GenAI applications oncloudplatforms (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 & Qualifications

• Experience:56 years of cloudengineering 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 orany similar framework.
• Vector Databases:Practical experience with databases such asVespa Pinecone Milvus Chroma or any similar database.
• CloudInfrastructure:Proven experience in deploying band managingcloudcompute (Docker Kubernetes) and serverless services.
• Prompt Engineering:Ability to systematically design and optimize prompts for specific business use cases.

Preferred Qualifications

• Familiarity with fine-tuning open-source LLMs (e.g. Llama Mistral).
• Experience setting up MLOps/LLMOps tracking tools (e.g. LangSmith Weights & Biases).
• Cloudcertifications focusing on DevOps or Developer pathways.

Education

• Bachelors degree in Computer Science Software Engineering or a related technical field