AI/Data Engineer Agentforce

aspenviewtech; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote

Job summary

A contributor-level opportunity at Aspenviewtech to build production AI agents on a Salesforce-based platform during an early-adoption phase. You will be embedded in a North American client squad, working remotely from a Latin American delivery center with time-zone overlap into client hours.

The work centers on agent design, evaluation, and the surrounding data plumbing, not just prompt writing. Responsibilities cover agent design, grounding with Data 360, guardrails, and observability.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field, or equivalent experience.
• 4+ years in software or data engineering with hands-on production experience building LLM-backed apps.
• Practical prompt engineering experience including systematic testing.
• Experience with AI risk areas such as hallucination, injection, PII exposure, and authorization.
• Familiarity with Salesforce components including Flow, Apex, Agent Builder, Prompt Builder, and Data 360; knowledge of Einstein Trust Layer is a plus.
• English proficiency to communicate with North American stakeholders.
• Permanent authorization to work in your country of residence; no visa sponsorship available.

Responsibilities

• Design and assemble agents inside Agent Builder, defining topics, instructions, and the boundaries between them.
• Implement agent actions across Flow, Apex, prompt templates, and external APIs.
• Ground agents in Data 360 and retrieval sources so responses come from data rather than from model generation.
• Design guardrails against prompt injection, data leakage, and out-of-scope action execution.
• Build evaluation sets and regression tests for agent behavior and run them before each change.
• Instrument agents for observability, capturing what was asked, retrieved, executed, and failed.
• Prepare structured and unstructured data for retrieval, including chunking and metadata strategy.
• Collaborate with the Data 360 team on freshness, identity, and consent constraints.
• Analyze live transcripts and deflection data to drive evidence-based improvements.
• Advise stakeholders clearly when a use case is not a good fit for an agent.

Skills

Python

Prompt engineering

LLM apps

English communication

Education

Bachelor's degree or equivalent

Tools

Salesforce Flow

Apex

Agent Builder

Prompt Builder

Data 360

Job description

Role overview

A contributor-level opportunity to build production AI agents on a Salesforce-based agent platform during an early-adoption phase, where the implementation patterns are still being defined rather than inherited. You will be embedded as part of a North American client squad, working remotely from a Latin American delivery center with substantial time-zone overlap into the client's core business hours. The work centers on agent design, evaluation, and the surrounding data plumbing, not just prompt writing.

Responsibilities

• Design and assemble agents inside Agent Builder, defining topics, instructions, and the boundaries between them.
• Implement agent actions across Flow, Apex, prompt templates, and external APIs.
• Ground agents in Data 360 and retrieval sources so responses come from data rather than from model generation.
• Design guardrails against prompt injection, data leakage, and out-of-scope action execution.
• Build evaluation sets and regression tests for agent behavior and run them before each change.
• Instrument agents for observability, capturing what was asked, retrieved, executed, and failed.
• Prepare structured and unstructured data for retrieval, including chunking and metadata strategy.
• Collaborate with the Data 360 team on freshness, identity, and consent constraints.
• Analyze live transcripts and deflection data to drive evidence-based improvements.
• Advise stakeholders clearly when a use case is not a good fit for an agent.

Requirements

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent experience.
• Four or more years in software or data engineering, with hands-on production experience building LLM-backed applications.
• Practical prompt engineering experience, including systematic prompt testing.
• Working understanding of AI risk areas such as hallucination, injection, PII exposure, and action authorization.
• Familiarity with Agentforce components including Agent Builder, topics and actions, Prompt Builder, and the Einstein Trust Layer.
• Enough Salesforce development depth in Flow and Apex to build and debug agent actions.
• Comfort with retrieval-augmented generation concepts such as embeddings, chunking, vector retrieval, and grounding evaluation.
• Python skills for data preparation, evaluation harnesses, and API work.
• Experience using Salesforce Data 360 as a grounding source.
• Professional English sufficient to run requirements and design conversations directly with North American stakeholders.
• Permanent authorization to work in your country of residence, with no visa sponsorship available.

Nice to have

• Salesforce Certified AI Specialist or Agentforce Specialist credentials.

Benefits and work setup

• Full-time contractor agreement, fully remote.
• Delivered from a Latin American delivery center into a North American client team.
• Employment relationship held by the delivery organization; you sit inside the client's squad under delivery leadership.
• Equal opportunity employer committed to diversity and inclusion.