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Day 43
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From 51 similar postings that came down. Coming down is not always a hire.
AI/Data Engineer Agentforce
Reads like an AI Engineer role: building products on existing AI models.
Buenos Aires, Autonomous City of Buenos Aires, Argentina, Bogotá, Bogota D.C., Colombia
Live, first seen by us 43 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time · Contract — employment source
At AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people. About the Role We are seeking an AI / Data Engineer to build production Agentforce agents—including topics, actions, grounding, guardrails, and the evaluation harness that proves an agent behaves as intended. Agentforce adoption currently sits at roughly 10 to 15 percent of the Salesforce customer base, making this early-market work where the patterns are still being set. You will be expected to help set them rather than wait for them. This is a full-time, contractor agreement, remote role delivered from AspenView’s Latin American delivery centers into a North American client team, working the client’s core business hours with substantial time-zone overlap. AspenView holds the employment relationship and delivery accountability; you will work as part of the client’s squad under AspenView Delivery Leadership. This is a contributor role, not a task-execution role. The team needs people who question whether the right thing is being built, and say so. What You Will Do Agent Development
Read the full posting
Before you apply
- Work authorization
- Must already have the right to work
AspenView does not sponsor employment visas for this role
What you’ll work on
Full postingBuild Agentforce agents with topics, instructions, and actions
Implement actions across Flow, Apex, prompt templates, and external APIs
Ground agents in Data 360 and retrieval sources
Design guardrails against prompt injection, data leakage, and unauthorized actions
Build evaluation sets and regression tests, run before every change
From the employer’s posting
Build agents in Agentforce Agent Builder, defining topics, instructions, and the boundaries between them.
Implement actions across Flow, Apex, prompt templates, and external APIs.
Ground agents in Data 360 and retrieval sources so answers come from data rather than from the model.
Design guardrails against prompt injection, data leakage, and out-of-scope action execution.
Build evaluation sets and regression testing for agent behavior, and run them before every change.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field—or equivalent experience.
- 4+ years in software or data engineering, with hands-on production experience building LLM-backed applications.
- Python: Data preparation, evaluation harnesses, and API work.
- Practical experience with prompt engineering and, more importantly, with testing prompts systematically.
- Understanding of AI risk, including hallucination, injection, PII exposure, and action authorization.
Qualification wording
Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field—or equivalent experience.
4+ years in software or data engineering, with hands-on production experience building LLM-backed applications.
Python: Data preparation, evaluation harnesses, and API work.
Practical experience with prompt engineering and, more importantly, with testing prompts systematically.
Understanding of AI risk, including hallucination, injection, PII exposure, and action authorization.
Education & alternatives
Education - Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field—or equivalent experience. Experience
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 1, 202643 days ago
- Recorded sightings
- 79
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Sep 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Aspenview Technology Partners is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- Retrieval-Augmented Generation: Embeddings, chunking, vector retrieval, and grounding evaluation. - Python: Data preparation, evaluation harnesses, and API work. - Salesforce Data 360: Experience using Data 360 as a grounding source.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.
As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
Why Join AspenView?
At AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people.
About the Role
We are seeking an AI / Data Engineer to build production Agentforce agents—including topics, actions, grounding, guardrails, and the evaluation harness that proves an agent behaves as intended. Agentforce adoption currently sits at roughly 10 to 15 percent of the Salesforce customer base, making this early-market work where the patterns are still being set. You will be expected to help set them rather than wait for them.
This is a full-time, contractor agreement, remote role delivered from AspenView’s Latin American delivery centers into a North American client team, working the client’s core business hours with substantial time-zone overlap. AspenView holds the employment relationship and delivery accountability; you will work as part of the client’s squad under AspenView Delivery Leadership.
This is a contributor role, not a task-execution role. The team needs people who question whether the right thing is being built, and say so.
What You Will Do
Agent Development
- Agent Design: Build agents in Agentforce Agent Builder, defining topics, instructions, and the boundaries between them.
- Action Implementation: Implement actions across Flow, Apex, prompt templates, and external APIs.
- Grounding: Ground agents in Data 360 and retrieval sources so answers come from data rather than from the model.
Guardrails & Evaluation
- Guardrail Design: Design guardrails against prompt injection, data leakage, and out-of-scope action execution.
- Evaluation & Regression Testing: Build evaluation sets and regression testing for agent behavior, and run them before every change.
- Observability: Instrument agents for observability: what was asked, what was retrieved, what action ran, and what failed.
Data Enablement
- Retrieval Data Preparation: Prepare structured and unstructured data for retrieval, including chunking and metadata strategy.
- Data 360 Collaboration: Work with the Data 360 team on freshness, identity, and consent constraints that affect agents.
Iteration
- Evidence-Based Improvement: Analyze live transcripts and deflection data, and improve the agent based on evidence.
- Use-Case Advisory: Tell stakeholders clearly when a use case is not a good fit for an agent.
What You Bring
Education
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related field—or equivalent experience.
Experience
- 4+ years in software or data engineering, with hands-on production experience building LLM-backed applications.
- Practical experience with prompt engineering and, more importantly, with testing prompts systematically.
- Understanding of AI risk, including hallucination, injection, PII exposure, and action authorization.
Technical Expertise
- Agentforce: Agent Builder, topics and actions, Prompt Builder, and Einstein Trust Layer.
- Salesforce Development: Flow and Apex, sufficient to build and debug agent actions.
- Retrieval-Augmented Generation: Embeddings, chunking, vector retrieval, and grounding evaluation.
- Python: Data preparation, evaluation harnesses, and API work.
- Salesforce Data 360: Experience using Data 360 as a grounding source.
Certifications
- Salesforce Certified AI Specialist or Agentforce Specialist (preferred).
Language Proficiency
- Professional English, able to run requirement and design conversations directly with North American stakeholders.
Visa Sponsorship
AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.
Equal Opportunity Employer
AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Buenos Aires, Autonomous City of Buenos Aires, Argentina, Bogotá, Bogota D.C., Colombia
This passage needs a closer read in the full description.
- Work authorization
- Professional English, able to run requirement and design conversations directly with North American stakeholders. Visa Sponsorship AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future. Equal Opportunity Employer