Principal Engineer

Automation Anywhere
Bengaluru
Workplace: OnsiteFull timeFunction: Communications, PR & CommunityExperience: 5-6 yearsEducation: bachelorsSkills: []

Design and productionize Retrieval-Augmented Generation (RAG) pipelines that improve LLM accuracy, while writing clean, modular Python backend code. Deploy and secure GenAI applications on AWS, GCP, or Azure, manage and tune vector databases for fast semantic retrieval, and integrate enterprise LLMs via secure APIs. Monitor token usage, latency, and retrieval quality in production to ensure reliable performance at scale.

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FursaFursa
Automation Anywhere
Automation Anywhere
1 month ago

Principal Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 days agoStatus: Live

Job Summary

Design and productionize Retrieval-Augmented Generation (RAG) pipelines that improve LLM accuracy, while writing clean, modular Python backend code. Deploy and secure GenAI applications on AWS, GCP, or Azure, manage and tune vector databases for fast semantic retrieval, and integrate enterprise LLMs via secure APIs. Monitor token usage, latency, and retrieval quality in production to ensure reliable performance at scale.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and optimize production-grade RAG pipelines to improve LLM accuracy.
  • •Write clean, modular, high-efficiency 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 enable fast, relevant semantic search retrieval.
  • •Connect frontends and internal systems to enterprise LLMs via secure APIs and monitor token usage, latency, and retrieval accuracy in production.

Key Requirements

  • •5–6+ years of cloud engineering experience and AI solution development.
  • •Expert-level Python skills, including asynchronous programming and API development.
  • •Hands-on GenAI framework experience such as LangChain, LlamaIndex, and Hugging Face (or similar).
  • •Practical experience with vector databases such as Vespa, Pinecone, Milvus, or Chroma.
  • •Proven ability to deploy and manage cloud compute and serverless services (Docker, Kubernetes).
Experience:5-6 yearsGenAIRAGCloud engineeringAI solution development
Education:Bachelor's in Computer Science, Software Engineering, or a related technical field
Tech Stack:PythonFastAPILangChainLlamaIndexHugging FaceAWSGCPAzureVespaPineconeMilvusChromaDockerKubernetesServerless

Company Brief

Automation Anywhere
Provides robotic process automation (RPA) software and AI-driven automation platforms that enable enterprises to automate repetitive business processes, integrate systems, and scale digital workforce initiatives across industries.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Jose, United States
Founded: 2003
Glassdoor
Glassdoor: 3.9
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