{"id":3116620,"url":"https://alion.io/job/automation-anywhere-principal-engineer","title":"Principal Engineer","company":{"id":47986,"name":"Automation Anywhere","domain":"automationanywhere.com","url":"https://alion.io/company/automation-anywhere","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":69},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Milvus","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"AI Agents","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LangSmith","optional":true},{"name":"Llama","optional":true},{"name":"LLMOps","optional":true},{"name":"Mistral","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-10-08T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-26T01:55:08Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"About Us\nAutomation 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.\nJob Summary\nWe are seeking a Cloud Generative AI and RAG Engineer with 2-3 years of professional experience to build, scale, and optimize GenAI applications.He/Shewill focus on building robust Retrieval-Augmented Generation (RAG) pipelines, writing clean Python production code, and deploying these solutions onto secure cloud infrastructure.\nLocation : Bangalore(Onsite)\nExperience - 5 - 6+ Years\nKey Responsibilities\n GenAI & RAG Development: Design, implement, and optimize production-grade Retrieval-Augmented Generation (RAG) pipelines to improve LLM accuracy.\nPython Engineering: Write clean, modular, and highly efficient backend code using Python frameworks like FastAPI or LangChain.\n Cloud Architecture: Deploy, secure, and scale GenAI applications on cloud platforms (AWS, GCP, or Azure).\nVector Database Management: Manage and tune Vector Databases to ensure fast, relevant semantic search retrieval.\nAPI Integration: Connect application frontends and internal data systems with enterprise LLMs via secure APIs.\nSystem Monitoring: Track LLM token usage, response latency, and retrieval accuracy in production.\nRequired Skills & Qualifications\nExperience: 5-6+ years of cloud engineering experience and AI solution development.\n\nPython Mastery: Expert-level Python skills, with a focus on asynchronous programming and API development.\nGenAI Ecosystems: Hands-on experience using frameworks like LangChain, LlamaIndex, Hugging Face orany similar framework.\n\nVector Databases: Practical experience with databases such asVespa, Pinecone, Milvus, Chroma, or any similar database.\n\n Cloud Infrastructure: Proven experience in deploying band managing cloud compute (Docker, Kubernetes) and serverless services.\nPrompt Engineering: Ability to systematically design and optimize prompts for specific business use cases.\nPreferred Qualifications\nFamiliarity with fine-tuning open-source LLMs (e.g., Llama, Mistral).\nExperience setting up MLOps/LLMOps tracking tools (e.g., LangSmith, Weights & Biases).\nCloud certifications focusing on DevOps or Developer pathways.\nEducation\nBachelor’s degree in Computer Science, Software Engineering, or a related technical field\nAll unsolicited resumes submitted to any @automationanywhere.comemail address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.","description_format":"text","description_chars":2904,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Workflow & Process Automation (RPA, BPM)","AI 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