Senior Salesforce Platform Analyst focused on building solutions in Salesforce and improving platform scalability using AI tools.
About the role
- Forward Deployed Engineer responsible for building AI-powered agents and customer service experiences. Engage in end-to-end delivery and continuous iteration within a hybrid working model.
Responsibilities
- Partner closely with customer service teams to understand the workflows, pain points, and success metrics
- Design and build agent-based systems that automate and augment customer support experiences (chat, voice, ticketing, internal tooling)
- Rapidly prototype, test, and deploy AI agents in customer environments (“fail fast, learn faster”)
- Own end-to-end delivery: from initial concept → architecture → implementation → deployment → iteration
- Build and deploy RAG-based systems, with a strong emphasis on agent orchestration, tool use, and decision-making
- Integrate agents with customer systems (CRMs, ticketing platforms, knowledge bases, internal APIs)
- Deploy and operate systems in cloud-native environments (primarily AWS)
- Work with backend and frontend components to deliver complete customer-facing solutions
- Improve reliability, observability, and performance of deployed agent systems
- Act as the technical voice in customer conversations, translating requirements into scalable solutions
Requirements
- Strong experience as a software engineer, solutions engineer, or forward deployed engineer in customer-facing roles
- Proven experience deploying AI agents to production (agent frameworks, orchestration, tool calling, memory, workflows)
- Solid understanding of Generative AI systems , including: Retrieval-Augmented Generation (RAG), Agent architectures and evaluation, Prompting, guardrails, and failure handling
- Cloud-native development experience, preferably on AWS
- Experience designing and operating production systems (monitoring, scaling, reliability)
- Comfort working in fast-moving startup environments with ambiguity and tight feedback loops
- Strong communication skills and the ability to work directly with customers
Benefits
- Direct impact on real customer experiences
- Opportunity to shape how AI agents are deployed in the real world
- High ownership and visibility
- Work on cutting-edge agent architectures in production
- Competitive compensation and flexible hybrid work.
- Opportunity to work with a multi-cultural and multidisciplinary team of experts
- A highly competitive compensation package.
- Medical insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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