Salesforce Forward Deployed Engineer

Myridius; Orlando (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Myridius is seeking a Forward Deployed Engineer to embed with a business team in Orlando, learning their processes and building concrete solutions end-to-end. You’ll implement Agentforce agents, connect to data via Data Cloud, and design MCP servers in Python to bridge gaps with the Salesforce platform.

You’ll work across Apex, LWC, Flow, and platform integrations while maintaining documentation and runbooks for smooth handover after you transition.

Qualifications

• 6–9 years building on the Salesforce platform.
• Production Apex at scale: bulkification, asynchronous patterns, governor limits.
• Declarative fluency — Flow, validation rules, sharing and visibility.
• Data modeling, large-data-volume considerations, and integration architecture.
• Sales Cloud, Service Cloud, or Experience Cloud in production.

Responsibilities

• Run discovery directly with business stakeholders — translate into a design, not a backlog of tickets.
• Design, build, and deploy Agentforce agents: topics, instructions, guardrails, actions backed by Apex, Flow, prompt templates, and APIs.
• Ground agents in the right data using Data Cloud, retrieval, and the Einstein Trust Layer for accuracy and latency.
• Decide whether a capability belongs in a native Agentforce action or a custom MCP server and build the connection.
• Design and build custom MCP servers in Python exposing Salesforce objects, SOQL, Apex endpoints, and business actions.
• Build on-platform: Apex, Lightning Web Components, Flow, Platform Events, data model.
• Integrate Salesforce with external systems — REST/GraphQL, OAuth 2.0, Named Credentials, External Services.
• Evaluate agent behavior end to end: write test cases, measure routing and accuracy, find failure modes.
• Own deployment and quality — SFDX, scratch orgs, CI/CD, Apex test coverage, governor-limit awareness.
• Leave documentation and runbooks behind for continued operation after you move on.

Skills

Salesforce

Apex

Data modeling

Flow

Integration architecture

Python

API integration

CI/CD

Stakeholder comms

Problem solving

Tools

Salesforce DX (SFDX)

Git

CI/CD pipelines

Apex tooling

Job description

A Forward Deployed Engineer works where the business problem actually lives. You’ll embed with a business team, learn their process in enough detail to argue about edge cases, and then build the thing — in their org, against their data, with them watching. The feedback loop is days, not quarters.

The work is a mix of three things. First, Agentforce: designing agents, topics, and actions on the platform, grounding them in Data Cloud, and tuning them until they behave in production. Second, custom MCP servers you design and write in Python, which connect agents (Agentforce and others) to systems and capabilities the platform doesn’t cover out of the box. Third, the core Salesforce engineering that makes both dependable: Apex, LWC, Flow, integrations, and a data model that holds up under real volume.

RESPONSIBILITIES

• Run discovery directly with business stakeholders — process walkthroughs, org audits, data profiling — and turn what you learn into a design, not a backlog of tickets.
• Design, build, and deploy Agentforce agents: topics, instructions, guardrails, and actions backed by Apex, Flow, prompt templates, and APIs.
• Ground agents in the right data using Data Cloud, retrieval, and the Einstein Trust Layer, with an eye on accuracy, latency, and cost.
• Decide, case by case, whether a capability belongs in a native Agentforce action or a custom MCP server, and build the connection between them when it’s the latter.
• Design and build custom MCP servers in Python that expose Salesforce objects, SOQL queries, Apex endpoints, and business actions as well-scoped agent tools, with clear input schemas, useful error messages, and permissions that respect the org’s sharing model.
• Build on-platform: Apex (triggers, Queueable, Batch, async patterns), Lightning Web Components, Flow, Platform Events, and a data model you’d defend in review.
• Integrate Salesforce with external systems — REST and GraphQL APIs, OAuth 2.0 flows, Named Credentials, External Services, middleware — handling retries, idempotency, and rate limits properly.
• Evaluate agent behavior end to end: write test cases, measure topic routing and action accuracy, and find failure modes before a user does.
• Own deployment and quality — SFDX, scratch orgs, CI/CD, Apex test coverage that means something, and governor-limit awareness as a design habit rather than a bug fix.
• Leave documentation and runbooks behind, so the team you embedded with can operate what you built after you move on.

REQUIREMENTS

• 6–9 years building on the Salesforce platform.
• Production Apex at scale: bulkification, asynchronous patterns, governor limits, trigger frameworks.
• Declarative fluency — Flow, validation rules, sharing and visibility — and judgment about when not to write code.
• Data modeling, large-data-volume considerations, and integration architecture.
• Sales Cloud, Service Cloud, or Experience Cloud in production.

Agentforce, MCP, and Python

• Hands-on Agentforce experience: building agents with topics and actions, Prompt Builder, Agent Builder, and Data Cloud grounding.
• Strong Python — you’ve shipped and maintained services, not just scripts.
• Hands-on experience building custom MCP servers or comparable LLM tool-use integrations (function calling, agent frameworks, retrieval pipelines).
• A working mental model of how LLMs fail, and the habit of designing tools that fail safely.
• API design, authentication, and secrets handling in an environment with real compliance constraints.
• Comfort with Git, CI/CD, containers, and cloud deployment.

How you work

• You’re effective in front of non-technical stakeholders — you can run the meeting, not just attend it.
• You move under ambiguity and know which corners are safe to cut in a prototype and which ones aren’t.
• You write clearly. Design docs, decision records, and handoff notes are part of the job.

BONUS

• Salesforce certifications — Agentforce Specialist, Data Cloud 360 Conslutant, Platform Developer II, Application Architect, or Integration Architect.
• Production Agentforce deployments with measurable business outcomes.
• Data Cloud implementation experience beyond basic grounding.
• Open-source contributions to MCP servers, agent tooling, or the Salesforce developer ecosystem.
• Prior consulting, solutions engineering, or forward-deployed work at a product company.
• Experience with evaluation frameworks for LLM applications.