{"id":1141093,"url":"https://alion.io/job/ringcentral-sr-agentic-systems-engineer","title":"Sr Agentic Systems Engineer","company":{"id":58779,"name":"RingCentral","domain":"ringcentral.com","url":"https://alion.io/company/ringcentral","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":12,"ghost_share":0,"stale_share":0.917,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":112000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"GitHub Actions","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-23T11:29:58Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-22T19:32:47Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an experienced Agentic Systems Engineer who is passionate about designing, building, and productionizing intelligent, autonomous systems powered by LLMs, AI agents, tool use, and modern orchestration frameworks. In this role, you will develop reliable agentic applications, RAG pipelines, and tool integrations within an established platform architecture-connecting AI agents to enterprise systems across multiple business use cases.\nKey Responsibilities\nBuild and ship AI-powered applications using Python and/or Node.js, working within established LLM orchestration frameworks (LangChain, LangGraph, etc.).\nImplement agentic workflows - multi-step, tool-using agents that call APIs, vector stores, and databases according to defined design patterns.\nBuild and tune RAG pipelines for enterprise use cases.\nIntegrate and extend NLP/NLU models, prompt templates, and embeddings for conversational, classification, and automation tasks.\nBuild and maintain agent integrations with enterprise applications across multiple business use cases, via REST APIs, connector frameworks, or MCP-style tool registries.\nWrite and maintain test cases and evaluation harnesses for agent behavior - tool-call accuracy, hallucination rate, and task completion.\nImplement evaluation frameworks and observability for LLM/agent systems, including tracing, prompt evaluation, failure analysis, and regression testing.\nApply appropriate guardrails, access controls, validation, and safety mechanisms to ensure agents operate within defined boundaries.\nWork with SQL/NoSQL databases to manage structured and unstructured data pipelines feeding agent workflows.\nContribute to full-stack delivery, connecting LLM backends to modern frontends.\nOperate within existing access-control, logging, and audit patterns for multi-tool agent systems; flag gaps to the architecture team rather than redesigning independently.\nRequired Skills (Must Have)\n6+ years of professional software engineering experience, including at least 1-2 years hands-on building with LLMs or agentic frameworks.\nStrong proficiency in Python and/or Node.js for AI and backend development.\nWorking knowledge of major LLM providers (e.g., OpenAI, Anthropic) and prompt orchestration frameworks (LangChain, LangGraph).\nHands-on expertise in building LLM applications, including \nPrompt engineering and enforcing structured outputs\nTool integration and function calling\nRetrieval-Augmented Generation (RAG) using vector databases and embedding-based search\nDesigning multi-agent workflows and orchestration frameworks\nManaging context windows and conversational state\nExperience integrating external tools and APIs via function calling or tool-registration mechanisms.\nExperience integrating agents or tools with enterprise SaaS applications via REST APIs or connector frameworks.\nWorking knowledge of SQL and NoSQL databases and how they plug into AI pipelines.\nExperience writing test cases or evaluation harnesses for agent/LLM behavior (accuracy, hallucination, tool-call correctness). \nFamiliarity with agent evaluation techniques, including LLM-as-a-judge, task-based evaluations, benchmark design, and automated regression testing.\nUnderstanding of access-control and audit-logging patterns in multi-tool, multi-agent systems.\nUnderstanding of AI security, prompt injection, data leakage, permission boundaries, and agentic-system guardrails.\nStrong debugging skills and the ability to implement complex multi-step systems within an established architecture.\nNice to Have Skills\nUnderstanding of cloud deployment and infrastructure (AWS, GCP).\nKnowledge of containerization and CI/CD pipelines (Docker, GitHub Actions).\nExperience with AI observability, guardrails, and safety mechanisms for LLMs.\nFamiliarity with data warehouses or analytical query engines for large-scale structured retrieval.","description_format":"text","description_chars":3859,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Conversational AI","Contact Center Software"],"lifecycle":[{"event":"open","at":"2026-09-23T11:29:58Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":33,"reasons":["conf:3","win:early"],"computed_at":"2026-09-23T14:38:32Z"},"pay":null,"html_url":"https://alion.io/job/ringcentral-sr-agentic-systems-engineer","json_url":"https://alion.io/job/ringcentral-sr-agentic-systems-engineer.json","meta":{"generated_at":"2026-09-23T14:38:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}