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Open nowPosted 7 hours ago

AI Agent Developer (Latam)

knowmad mood374 open roles

Where
Latam
Work mode
Remote
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Your applicationOpen nowAI Agent Developer (Latam)knowmad mood · Latam

  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 knowmad mood'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market. knowmad mood postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 7 hours ago

knowmad mood median: 7 days open

The posting

We are knowmad mood!

We are a leading digital transformation company, constantly evolving and at the forefront of technology. We were born to drive real change through innovation and sustainable development, with the mission of delivering value to our clients and empowering our talent.

Our team is made up of more than 3,500 creative, digital, and innovative professionals connected by a shared purpose and capable of building meaningful connections with people around the world. We are a responsible, flexible, and highly adaptable team, committed to meeting our clients' and the market’s needs while providing value, vision, creativity, expertise, professionalism, and passion for technology in every project.

The values that define our path and guide us toward excellence are collaboration, innovation, commitment, enjoyment, and trust.

Attention: This is a Contract role

· Length of contract – 3 months

Minimum Requirements

• Strong, hands-on experience building AI agents (Copilot Studio / Microsoft 365 Copilot)

• Experience connecting agents to Salesforce, Power BI, SharePoint, and other Sales org tools, including security and permissions

• API connector development and integration experience

• Working knowledge of Power BI/DAX and sales and pipeline data

• Ability to coach and upskill a team, not only build

Responsabilities

-AI-enabled ELT dashboards : Move the ELT Summary Dashboard prototype into production in Power BI, with an AI insight layer covering risks, changes, and recommended actions.

-AI Forecast Simulator : Productionize the existing prototype using CRM and Power BI data, deploy an AI Coach agent to support forecasting decisions, and automate stage-weight calibration and forecast accuracy tracking to continuously improve prediction quality.

-Pipeline Hygiene: Move the dashboard prototype into production; automate flags (stale or duplicate opportunities, close dates, Tx renewable CED treatment) and owner alerts.

-Revamp of existing dashboards with AI insights: Retrofit Sales 360 and other core dashboards with AI-generated insights and recommended actions, using a repeatable pattern.

-CRM data validation agent: Build an agent to detect, classify, and route Salesforce data-quality issues.

-Whitespace and custom report agent: Automate whitespace analysis and cross-sell insights by account, segment, and product group. Build an agent to pull and prepare data for custom report requests, including whitespace and cross-sell analyses, from C-Force, Snowflake, SharePoint, and Excel sources.

-Internal AI skills training: Train and coach, the Data & Analytics team to build and maintain agents, building on our in-house AI session programme.

-AI Sales Workflow - Agentic Sales Intelligence Flow: Build the MVP of the seller-facing workflow: integrate Salesforce, marketing, and other sales data; surface account and buying signals; recommend next best actions; and draft personalized outreach

To stay up to date with our latest news and updates, follow us here → knowmad mood

At knowmad mood, we are committed to equal opportunities and respect for diversity. We apply our Equality Plan and the principle of non-discrimination throughout all our recruitment and selection processes.

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  2. 25 readers review it

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

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