Job Description
The role involves designing and developing scalable AI platform capabilities to support GenAI-powered applications, focusing on building reliable backend systems, multi-step workflows, and system integrations to enable AI-driven experiences across sales and operations.
Key Responsibilities
- Build and evolve core AI platform capabilities for developing, running, and scaling GenAI-powered applications.
- Design and implement shared execution patterns, APIs, and services supporting multi-step AI workflows and system integrations.
- Develop reliable, extensible backend systems powering AI-driven experiences across various business functions.
- Collaborate with AI engineers, data scientists, and product teams to translate emerging AI use cases into production-ready platform features.
- Work across the stack, including backend services, execution infrastructure, and AI model integration.
Requirements
- 6 years of professional software engineering experience excluding internships and contract roles, with a strong emphasis on building and operating large-scale, production backend or platform systems.
- Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services.
- Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines.
- Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts.
- Strong proficiency in backend programming languages e.g., Python, Java, Go, or similar, and experience building reliable services with clear input/output schemas.
- Expertise in Python and GenAI frameworks e.g., LangChain, OpenAI SDK, MCP, etc.
- Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries, fallbacks, and basic evaluation or monitoring approaches.
- Located in and authorized to work in the United States; this is a fully remote role.
- Experience working on AI products in a sales, go-to-market, or revenue operations context (preferred).
- Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM enablement platforms (preferred).
- Experience integrating with vector databases, retrieval systems, or streaming voice chat pipelines (preferred).
- A track record of leading major technical initiatives or mentoring engineers in high-growth teams (preferred).
- Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management (preferred).
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Flexible working model (remote, hybrid, or in-office options)
Ready to Apply?
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