Salesforce Forward Deployed Engineer

Salary: £75,000 - 90,000 per year

Requirements:

• Strong hands-on Salesforce development experience, including Apex, Lightning Web Components (LWC), JavaScript and Flow.
• Experience with Salesforce clouds such as Sales Cloud or Service Cloud.
• Practical experience with Agentforce, Einstein AI, Prompt Builder or other Salesforce AI capabilities.
• Understanding of LLMs, prompt engineering, retrieval-augmented generation (RAG), grounding and AI evaluation.
• Experience with Salesforce Data Cloud and enterprise data integration.
• Knowledge of APIs, integration patterns and event-driven architecture.
• Strong software engineering fundamentals, including debugging, testing, code quality and version control.
• Confidence explaining technical decisions, solving complex problems and working directly with clients.
• Ability to take ownership of solutions from design through deployment.
• Ability to lead and support junior engineers through constructive code reviews, hands-on coaching and sharing engineering best practices.
• This role requires Security Check (SC) clearance. Applicants must meet relevant UK Government eligibility criteria, including five years of continuous UK residency; additional nationality requirements may apply to certain positions.
• Nice to have: experience with Model Context Protocol (MCP), vector search or embeddings; Python or other programming experience beyond the Salesforce platform; Salesforce certifications in development, architecture or AI.

Responsibilities:

• Design and build AI-powered agents and experiences using Salesforce Agentforce, Einstein AI and related technologies.
• Develop and customise solutions using Apex, Lightning Web Components (LWC), JavaScript, Flow and APIs.
• Create, customise and optimise prompt templates using Salesforce Prompt Builder.
• Connect AI agents to enterprise data and business processes through Salesforce Data Cloud and wider integration platforms.
• Build integrations using REST/SOAP APIs, MuleSoft, Platform Events and event-driven architecture.
• Apply prompt engineering, retrieval-augmented generation (RAG), grounding and techniques to reduce AI hallucinations.
• Test and evaluate AI solutions for accuracy, quality, cost and performance.
• Work directly with client teams to understand challenges, shape technical approaches and deliver measurable business outcomes.
• Contribute to engineering standards, code quality, CI/CD and DevOps practices.

Technologies:

• AI
• AI Agents
• Apex
• CI/CD
• Cloud
• DevOps
• Flow
• Support
• JavaScript
• Lightning Web Components
• LWC
• MCP
• MuleSoft
• Python
• RAG
• REST
• SOAP
• Salesforce
• Security
• Web

More:

We are a global digital transformation consultancy working at the forefront of enterprise AI and Salesforce innovation. In this hands-on engineering role, you will build production-ready AI-powered Salesforce solutions for major enterprise organisations, working alongside experienced engineers, architects and digital transformation specialists. The role is based in London with hybrid working, including one day per week onsite, and offers a salary of £70,000–£95,000 plus benefits. We offer innovative projects, ongoing learning and a flexible hybrid working environment. We are committed to an inclusive workplace and are a Disability Confident Employer (Level 2).

last updated 44 week of 2026