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/Data Engineer jobs
Aspenview Technology Partners

AI/Data Engineer Agentforce

LocationArgentina, Colombia, Buenos Aires, Autonomous City of Buenos Aires, Bogotá, Bogota D.C.
Work moderemote
Typecontract
SenioritySenior
Experience4+ yrs
DepartmentTechnology
Company size501–1,000 people
PostedSep 24, 2026 · 2w ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
Must have10
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
Practical experience with prompt engineering and with testing prompts systematically
Understanding of AI risk, including hallucination, injection, PII exposure, and action authorization
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
Professional English, able to run requirement and design conversations directly with North American stakeholders
Nice to have1
Salesforce Certified AI Specialist or Agentforce Specialist (preferred)
Eligibility1
Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future
Skills
Agentforce
Salesforce
Flow
Apex
Python
Data 360
RAG
APIs
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 DoAgent 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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