Principal Engineer

LE400 Automation Anywhere Software Pvt. Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Automation Anywhere is seeking a Cloud Generative AI and RAG Engineer to build, scale, and optimize GenAI applications. The role focuses on robust Retrieval-Augmented Generation pipelines, writing clean Python production code, and deploying these solutions on secure cloud infrastructure.

Location: Bangalore (Onsite). Experience required: 5–6+ years in cloud engineering and AI solution development, with prac­tical work on LangChain, vector databases, and enterprise LLMs to ensure fast, accurate

Qualifications

• 5–6+ years of cloud engineering experience and AI solution development.
• Python mastery with asynchronous programming and API development.
• Experience with GenAI ecosystems such as LangChain, LlamaIndex, or Hugging Face.
• Vector databases experience with Vespa, Pinecone, Milvus, or Chroma.
• Cloud infrastructure experience with Docker, Kubernetes, and serverless services.
• Prompt engineering for business use cases.

Responsibilities

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

Skills

Python

LangChain

LlamaIndex

Hugging Face

GenAI

API development

asynchronous programming

Prompt engineering

Education

Bachelor’s degree in Computer Science or related

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Hugging Face

Vespa

Pinecone

Milvus

Chroma

Job description

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 field

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.