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.
Skills Required
- 5-6+ years of cloud engineering experience and AI solution development
- Bachelor's degree in Computer Science, Software Engineering, or related technical field
- Expert-level Python skills with asynchronous programming and API development
- Experience building production APIs using FastAPI (or similar frameworks)
- Hands-on experience with GenAI frameworks (LangChain, LlamaIndex, Hugging Face or similar)
- Practical experience with vector databases (Vespa, Pinecone, Milvus, Chroma or similar)
- Experience deploying, securing, and scaling GenAI applications on cloud platforms (AWS, GCP, or Azure)
- Experience with containerization and orchestration (Docker, Kubernetes) and serverless services
- Prompt engineering and ability to design/optimize prompts for business use cases
- Ability to manage and tune vector DBs to ensure fast, relevant semantic retrieval
- Experience integrating frontends and internal systems with enterprise LLMs via secure APIs
- Experience monitoring LLM token usage, response latency, and retrieval accuracy in production
- Familiarity with fine-tuning open-source LLMs (e.g., Llama, Mistral)
- Experience setting up MLOps/LLMOps tracking tools (LangSmith, Weights & Biases)
- Cloud certifications focused on DevOps or Developer pathways
Automation Anywhere Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Automation Anywhere and has not been reviewed or approved by Automation Anywhere.
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Fair & Transparent Compensation — Pay is considered competitive to above average in many core roles, with sales and senior go-to-market positions noting strong on-target earnings and competitive packages. Feedback suggests several technical and leadership roles also view salary as a recurring strength.
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Leave & Time Off Breadth — Time off includes unlimited PTO in many postings, company holidays, volunteer days, and additional quarterly “Achievement Days” to unplug. Feedback suggests this breadth provides meaningful opportunities to rest and recharge.
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Flexible Benefits — Work practices emphasize flexible and hybrid arrangements, with remote options supported across roles. Feedback suggests this flexibility is a notable component of the total rewards experience.
Automation Anywhere Insights
What We Do
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity. With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies. Industry Awards and highlights: · Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation · Named a Leader in Forrester Wave · Named a Leader and Star Performer in Everest Peak Matrix · Named a Leader in Nelson Hall NEAT Intelligent Automation Report · G2 Crowd 2020 Best Software Company · First Cloud-native digital workforce platform · 850+ pre-built, intelligent automation solutions · Bot security and IP protection · SaaS packages · Over 1.4M courses completed in Automation Anywhere University · Free AI-powered Community edition Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday
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