
Job Overview
Location
San Francisco, United States
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
📋 Description
- • Lead end-to-end post-sales implementations for enterprise customers, covering discovery, design, build, UAT, launch, and hypercare phases, while owning scope, delivery, customer enablement, and business impact.
- • Build and integrate production-grade AI agents using REST/GraphQL APIs, webhooks, and event-driven architectures, handling authentication (OAuth2/JWT), data mapping, and robust error handling.
- • Configure AI agent workflows, prompts, tools, and retrieval-augmented generation (RAG) systems, establishing evaluation metrics, guardrails, and reliability standards for safety and quality.
- • Develop lightweight Python automations and custom connectors or middleware to fulfill specific customer integration requirements not covered by the low-code/no-code platform.
- • Set up observability infrastructure including logging, metrics, tracing, and alerting; create comprehensive runbooks, playbooks, and technical documentation for customer and internal use.
- • Provide Tier 2/3 technical support and root-cause analysis for production issues post-launch, driving durable fixes and continuous improvement initiatives.
- • Enable customers to become self-sufficient builders on the Relevance AI platform through workshops, onboarding sessions, co-development, and best practices training.
- • Act as a strategic partner by translating customer feedback and usage patterns into product insights, influencing roadmap priorities and reusable solution patterns.
- • Identify expansion opportunities with Customer Success teams based on measurable outcomes and value delivered during implementations.
- • Support pre-sales activities (~20%) including targeted discovery calls, use case selection, and implementation planning to accelerate deal closure.
- • Collaborate with cross-functional teams including Product, Engineering, and Customer Success to ensure seamless customer experiences and alignment on technical delivery.
- • Maintain deep familiarity with the Relevance AI platform’s capabilities and limitations to architect optimal AI agent solutions tailored to enterprise workflows in operations, marketing, and sales.
- • Ensure all implementations adhere to security and privacy standards such as SOC 2 and data residency requirements.
- • Travel occasionally to customer sites as needed to support critical implementations or on-site enablement sessions.
🎯 Requirements
- • 4+ years in Solutions, Professional, or Implementation consulting, with enterprise customer experience preferred.
- • Strong proficiency in Python and hands-on experience with API integrations (REST/GraphQL, OAuth2, webhooks, OpenAPI); familiarity with Postman or Insomnia.
- • Practical experience with LLMs including prompt design, RAG, embeddings, vector databases, and orchestration frameworks like LangChain or LlamaIndex.
- • Demonstrated ability to translate business needs into technical solutions with clear customer communication skills.
- • Experience productionizing use cases on low-code SaaS or AI platforms.
- • Foundational knowledge of cloud platforms (AWS/GCP/Azure), Git, Docker, CI/CD pipelines, secrets management, and security/privacy compliance.
🏖️ Benefits
- • Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance.
- • Commuter Benefits – Pre-tax deductions available for transit and parking expenses.
- • Unlimited Annual Leave – Flexible time-off policy to support rest and personal well-being.
- • ESOP – Employee Stock Ownership Plan to align personal growth with company success.
- • AI Productivity Benefit – Up to $1200 USD/year to spend on AI tools, courses, and learning resources.
- • Parental Leave – 12 weeks paid for all eligible new parents; additional 6 weeks for birthing parents.
- • Milestone Merch – Customized Relevance AI swag awarded for work anniversaries.
- • Food, Drinks & Community – Free breakfasts, healthy snacks, fully stocked fridge, team lunches on Tuesdays/Thursdays/Fridays, Uber Eats dinners, and regular catered meals.
- • Quarterly Team Events – Structured bonding experiences every quarter.
- • Social Clubs – Opportunities to join or start hobby-based groups (e.g., hiking, chess, board games).
- • Sonder EAP – 24/7 mental health and wellbeing support through an Employee Assistance Program.
Skills & Technologies
Python
AWS
Azure
GCP
Docker
Hybrid
About Relevance AI Pty Ltd
Relevance AI offers a low-code platform that lets teams build, deploy and manage AI agents and workflows at scale, integrating vector search, embeddings and LLM tooling into existing data stacks without heavy infrastructure work.
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