Principal Engineer

LE400 Automation Anywhere Software Pvt. Ltd.; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

LE400 Automation Anywhere Software Pvt. Ltd. in Bengaluru (Bangalore) seeks a Cloud GenAI and RAG Engineer with strong backend skills to build, scale, and optimize GenAI applications. You will focus on robust RAG pipelines, production-grade Python code, and deploying secure cloud solutions.

The role requires hands-on experience with vector databases and cloud platforms, along with API integration to enterprise systems. Onsite Bengaluru location with a focus on scalable, secure GenAI deployments.

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 using frameworks like LangChain, LlamaIndex, Hugging Face or similar.
• Practical experience with vector databases such as Vespa, Pinecone, Milvus, Chroma or similar.
• Proven experience deploying and managing cloud compute (Docker, Kubernetes) and serverless services.
• Ability to design and optimize prompts for specific business use cases.

Responsibilities

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

Skills

Cloud engineering

Python

LangChain

LlamaIndex

Hugging Face

Vector databases

Docker

Kubernetes

API development

Prompt engineering

Education

Bachelor's degree in CS/SE

Tools

LangChain

LlamaIndex

Hugging Face

Docker

Kubernetes

FastAPI

Pinecone

Milvus

Chroma

Vespa

Job description

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

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

Required Skills & Qualifications

• 5–6+ years of cloud engineering experience and AI solution development.
• Expert-level Python skills, with a focus on asynchronous programming and API development.
• Hands‑on experience using frameworks like LangChain, LlamaIndex, Hugging Face or any similar framework.
• Practical experience with vector databases such as Vespa, Pinecone, Milvus, Chroma, or any similar database.
• Proven experience in deploying and managing cloud compute (Docker, Kubernetes) and serverless services.
• 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.