Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 30 days ago

Sr Agentic Systems Engineer

RingCentral74 open roles

Where
Bangalore, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSr Agentic Systems EngineerRingCentral · Bangalore, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on RingCentral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. RingCentral postings stay open a median of 45 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 30 days ago

RingCentral median: 45 days open

The posting

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.

Key Responsibilities

  • Build and ship AI-powered applications using Python and/or Node.js, working within established LLM orchestration frameworks (LangChain, LangGraph, etc.).
  • Implement agentic workflows — multi-step, tool-using agents that call APIs, vector stores, and databases according to defined design patterns.
  • Build and tune RAG pipelines for enterprise use cases.
  • Integrate and extend NLP/NLU models, prompt templates, and embeddings for conversational, classification, and automation tasks.
  • Build and maintain agent integrations with enterprise applications across multiple business use cases, via REST APIs, connector frameworks, or MCP-style tool registries.
  • Write and maintain test cases and evaluation harnesses for agent behavior — tool-call accuracy, hallucination rate, and task completion.
  • Implement evaluation frameworks and observability for LLM/agent systems, including tracing, prompt evaluation, failure analysis, and regression testing.
  • Apply appropriate guardrails, access controls, validation, and safety mechanisms to ensure agents operate within defined boundaries.
  • Work with SQL/NoSQL databases to manage structured and unstructured data pipelines feeding agent workflows.
  • Contribute to full-stack delivery, connecting LLM backends to modern frontends.
  • Operate within existing access-control, logging, and audit patterns for multi-tool agent systems; flag gaps to the architecture team rather than redesigning independently.

Required Skills (Must Have)

  • 6+ years of professional software engineering experience, including at least 1–2 years hands-on building with LLMs or agentic frameworks.
  • Strong proficiency in Python and/or Node.js for AI and backend development.
  • Working knowledge of major LLM providers (e.g., OpenAI, Anthropic) and prompt orchestration frameworks (LangChain, LangGraph).
  • Hands-on expertise in building LLM applications, including
  • Prompt engineering and enforcing structured outputs
  • Tool integration and function calling
  • Retrieval-Augmented Generation (RAG) using vector databases and embedding-based search
  • Designing multi-agent workflows and orchestration frameworks
  • Managing context windows and conversational state
  • Experience integrating external tools and APIs via function calling or tool-registration mechanisms.
  • Experience integrating agents or tools with enterprise SaaS applications via REST APIs or connector frameworks.
  • Working knowledge of SQL and NoSQL databases and how they plug into AI pipelines.
  • Experience writing test cases or evaluation harnesses for agent/LLM behavior (accuracy, hallucination, tool-call correctness).
  • Familiarity with agent evaluation techniques, including LLM-as-a-judge, task-based evaluations, benchmark design, and automated regression testing.
  • Understanding of access-control and audit-logging patterns in multi-tool, multi-agent systems.
  • Understanding of AI security, prompt injection, data leakage, permission boundaries, and agentic-system guardrails.
  • Strong debugging skills and the ability to implement complex multi-step systems within an established architecture.

Nice to Have Skills

  • Understanding of cloud deployment and infrastructure (AWS, GCP).
  • Knowledge of containerization and CI/CD pipelines (Docker, GitHub Actions).
  • Experience with AI observability, guardrails, and safety mechanisms for LLMs.
  • Familiarity with data warehouses or analytical query engines for large-scale structured retrieval.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against RingCentral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on RingCentral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    RingCentral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.