Principal Engineer

Automation Anywhere, Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Automation Anywhere, Inc. in Bengaluru (onsite) is seeking a Principal Engineer to lead GenAI and RAG initiatives.

You will design production-grade RAG pipelines, write scalable Python code, and deploy secure cloud solutions across AWS/GCP/Azure, while optimizing vector databases for fast semantic search. The role demands 5–6+ years of cloud engineering and AI development, deep Python expertise, and hands-on experience with LangChain, LlamaIndex, and modern MLOps tools.

Qualifications

• 5–6+ years of cloud engineering and AI solution development.
• Proficient Python with asynchronous programming and API development.
• Experience with GenAI ecosystems like LangChain, LlamaIndex, Hugging Face.
• Experience with vector databases such as Vespa, Pinecone, Milvus, or Chroma.
• Experience deploying and managing cloud compute with Docker and Kubernetes.
• Strong prompt engineering and API integration skills.
• Bachelor’s degree in CS/Software Engineering or related field.

Responsibilities

• Design, implement, and optimize production-grade Retrieval-Augmented Generation (RAG) pipelines to improve LLM accuracy.
• Write clean, modular Python backend code using frameworks like FastAPI.
• Deploy, secure, and scale GenAI applications on cloud platforms (AWS, GCP, Azure).
• Manage and tune Vector Databases for fast semantic search retrieval.
• Connect frontends and internal data systems with enterprise LLMs via secure APIs.
• Monitor LLM token usage, response latency, and retrieval accuracy in production.

Skills

Python

LangChain

LlamaIndex

Hugging Face

Vector Databases

Vespa

Pinecone

Milvus

Chroma

Docker

Kubernetes

API Development

Async Programming

Cloud Deployment

Education

Bachelor’s degree in Computer Science/Software Engineering

Tools

FastAPI

LangChain

Docker

Kubernetes

Cloud Platforms (AWS/GCP/Azure)

Job description

## Principal EngineerApply: Bengaluru, India: Full time: Posted Yesterday: End Date: December 31, 2026 (30+ days left to apply): JR1443**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 Summary**We 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+ 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.* **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 & Qualifications*** **Experience:** 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 Qualifications*** Familiarity 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.**Education*** Bachelor’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.