Agentic AI Engineer - Production, Customer-Facing

MOBOLISE; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Salesforce is seeking a skilled Technical Builder to join a cross-functional pod and ship agentic AI solutions for Fortune 500 customers. You will embed in a builder pod, own components, and work closely with senior builders to deliver scalable AI-powered features.

From day one, your code runs in customer environments, emphasizing production-quality delivery, data pipelines, and tight collaboration with the product and sales teams. Expect 25% travel and a focus on real-world impact.

Qualifications

• 3+ years of software engineering or technical delivery experience with at least one production system.
• Fluency in Python, JavaScript/TypeScript, Java, or Apex and willingness to learn more.
• Hands-on with LLMs and prompt engineering, able to explain failures and fixes.
• Deep understanding of data modeling, APIs, and integration patterns.

Responsibilities

• Develop AI agents and experiences that take real actions for real companies.
• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems.
• Own technical components end-to-end from architecture to production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and other platforms.
• Contribute to proofs-of-concept and MVPs moving from sketch to deployable quickly.
• Surface gaps and field insights to product teams to guide development.

Skills

Software Eng

Python/JS/Java

LLM Prompting

APIs

Data Modeling

Customer-facing

Code Quality

Team Collaboration

Willing to Travel

Tools

LangChain

LlamaIndex

Snowflake

Databricks

BigQuery

Job description

Salesforce is seeking a skilled Technical Builder to join a cross-functional pod and ship agentic AI solutions for Fortune 500 customers. You will embed in a builder pod, own components, and work closely with senior builders to deliver scalable AI-powered features.

From day one, your code runs in customer environments, emphasizing production-quality delivery, data pipelines, and tight collaboration with the product and sales teams. Expect 25% travel and a focus on real-world impact.