Principal Engineer

Aisera; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Automation Anywhere is seeking a Cloud Generative AI and RAG Engineer to build, scale, and optimize GenAI applications from Bangalore, onsite. The role emphasizes production-grade RAG pipelines, Python backend development, and secure cloud deployment across AWS, GCP, or Azure.

Ideal candidates have 5-6+ years in cloud engineering and AI solution delivery, with hands-on experience in LangChain, vector databases, and containerized environments. Join a leadership in AI-powered automation.

Qualifications

• 5-6+ years of cloud engineering experience and AI solution development.
• Expert-level Python skills with asynchronous programming and API development.
• Hands-on experience with GenAI frameworks like LangChain, LlamaIndex, Hugging Face.
• Experience with vector databases such as Vespa, Pinecone, Milvus, Chroma.
• Proven ability to deploy and manage cloud compute with Docker, Kubernetes and serverless services.
• Prompt engineering skills for business use cases.

Responsibilities

• GenAI & RAG Development: design, implement, and optimize production-grade RAG pipelines.
• Python Engineering: write modular backend code using Python frameworks like FastAPI.
• Cloud Architecture: deploy and scale GenAI apps on AWS, GCP, or Azure.
• Vector Database Management: tune vector databases for fast semantic search.
• API Integration: connect frontends and data systems with secure APIs.
• System Monitoring: track token usage, latency, and retrieval accuracy in production.

Skills

Python mastery

GenAI ecosystems

Vector databases

Cloud infrastructure

Prompt engineering

API development

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LlamaIndex

Hugging Face

Vespa

Pinecone

Milvus

Chroma

Docker

Kubernetes

FastAPI

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

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.