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

Open nowPosted 177 days ago

AI engineer

dialnexa6 open roles

Where
Bengaluru, India
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowAI engineerdialnexa · Bengaluru, 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 dialnexa'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.

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 177 days ago

The posting

ABOUT THE ROLE

We are building two things that will define how DialNexa operates as a company and this engineer will own both of them.

The first is a company-wide knowledge base that makes everything DialNexa knows, about its product, clients, processes, data, and decisions, queryable by AI agents. Think of it as the memory layer of the company.

The second is the DialNexa AI OS, a growing suite of internal AI agents that automate work across operations, marketing, sales, engineering, and product. Every function in the company will have agents doing work that would otherwise require headcount. This engineer builds and maintains those agents.

This is not a research role. This is not a role where you fine-tune models and write papers. This is a deeply practical, execution-heavy role for someone who has already built AI agents that work in production and wants to build an entire operating system for a company from scratch.

If the idea of being the person who makes a whole company run leaner through AI genuinely excites you, this role was written for you.

WHAT YOU WILL OWN

Company Knowledge Base

  • Design and build a structured, queryable knowledge base that ingests data from across the company including product docs, client data, call transcripts, internal processes, CRM data, and more
  • Choose and manage the right vector database infrastructure to power fast, accurate retrieval
  • Build ingestion pipelines that keep the knowledge base current without manual effort
  • Make sure every AI agent in the company can pull the right context at the right time

DialNexa AI OS

  • Build and maintain AI agents that automate real work across every function in the company
  • Operations agents that monitor client health, flag risks, and surface insights from dashboards
  • Marketing agents that research prospects, draft content, and run enrichment workflows
  • Sales agents that qualify leads, prepare call briefs, and follow up on pipeline
  • Engineering and product agents that summarise tickets, generate drafts, and reduce coordination overhead
  • Own the agent architecture end to end, prompting, tool use, memory, orchestration, and reliability

Infrastructure and Reliability

  • Build agentic workflows using LangChain, LlamaIndex, n8n, Make, or whatever gets the job done best
  • Integrate with OpenAI, Anthropic, and other model providers, and know when to use which
  • Make sure agents are reliable, observable, and easy to debug when they go wrong
  • Build evals so you know when an agent is performing well and when it has quietly started doing the wrong thing

WHAT WE ARE LOOKING FOR

  • Minimum 1 year of experience building AI agents that run in production, not just demos or side projects
  • Hands-on experience with LangChain or LlamaIndex for agent and RAG pipeline development
  • Working knowledge of vector databases such as Pinecone, Weaviate, Chroma, or similar
  • Strong experience with OpenAI and Anthropic APIs including function calling, tool use, and prompt engineering
  • Comfortable building automation workflows in n8n, Make, or Zapier
  • Strong Python skills, this is not optional
  • You understand RAG deeply, chunking strategies, embedding models, retrieval quality, re-ranking, and how to debug when retrieval goes wrong
  • You think in systems, not scripts

THE AI-FIRST REQUIREMENT

This one should go without saying for this role, but we will say it anyway. We are not looking for someone who is learning AI on the job. We want someone who has already shipped agents that real users or real systems depend on. Someone who has hit the hard problems, hallucinations, retrieval failures, broken tool calls, flaky orchestration, and knows how to solve them. If you have a portfolio of agents you have built, tell us about them. That is the most important thing you can show us.

NICE TO HAVE

  • Experience with multi-agent frameworks like CrewAI, AutoGen, or similar
  • Familiarity with voice AI systems, ASR, TTS, and conversation state, given DialNexa's core product
  • Experience building internal tooling or developer platforms
  • Comfort working across the DialNexa stack: Python, FastAPI, Postgres, Redis, Azure, GCP

WHAT SUCCESS LOOKS LIKE IN 6 MONTHS

  • A live, maintained company knowledge base that agents across functions are actively querying
  • At least one agent running in production across each major function, operations, marketing, sales, and engineering
  • Measurable reduction in manual, repetitive work across the team as a direct result of what you have built
  • A clear roadmap for the next set of agents and the infrastructure improvements needed to support them

WHY DIALNEXA

  • You will not be building AI tooling to support a team of hundreds. You will be building the system that allows a small team to operate like a much larger one. That is a different and more interesting problem.
  • Direct collaboration with founders on what gets built and why
  • Full autonomy on architecture and tooling decisions
  • Competitive compensation with ESOP discussion for the right person
  • Cell phone reimbursement, health insurance, and paid time off
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 dialnexa'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 dialnexa'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

    dialnexa'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.