Senior Software Engineer (AI Platform)
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Описание вакансии
TL;DR
Senior Software Engineer (AI Platform): Building AI capabilities and an internal Agentic SDK platform to enable product teams to build AI-powered features with an accent on architectural decisions and defining best practices. Focus on production-grade LLM orchestration systems, MCP integrations, and knowledge management systems.
Location: Austin, Texas / Nashville, Tennessee / Raleigh, North Carolina / Toronto
Salary: $154,500 - $224,540 a year
Company
is transforming the way companies plan, manage, and optimize sales performance by revolutionizing incentive compensation management and expanding its platform to solve broader enterprise performance management challenges.
What you will do
- Define and own the technical roadmap for complex AI platform initiatives, driving semi-annual and annual milestones.
- Architect and implement production-grade LLM orchestration systems, including agent frameworks, tool calling, and multi-step reasoning workflows.
- Design MCP integrations and knowledge management systems, including tool orchestration, embedding strategies, and context optimization.
- Lead technical design for cross-functional AI features, making challenging decisions when trade-offs are unclear.
- Establish coding standards, review practices, and architectural patterns for AI development across the Agentic SDK team.
- Coach and mentor P3 engineers, helping them grow toward senior-level scope and autonomy.
Requirements
- 5+ years of professional software engineering experience with demonstrated progression into technical leadership.
- Deep proficiency in Python with experience architecting production backend systems (Django strongly preferred).
- Strong frontend development skills with React and TypeScript, including experience with complex state management.
- Significant hands-on experience with LLM APIs and building orchestration systems (agent workflows, tool calling, multi-step reasoning).
- Experience designing and implementing MCP integrations, including tool servers, embedding models, and context management strategies.
- Track record of defining technical roadmaps and leading projects from conception through delivery.
Nice to have
- Experience building internal developer platforms, SDKs, or shared AI/ML infrastructure.
- Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent).
- Deep expertise in agent architectures: multi-agent systems, tool use, planning algorithms, or memory systems.
- Experience with prompt optimization, evaluation frameworks, or LLM observability tools (LangSmith, Weights & Biases).
Culture & Benefits
- Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
- Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
- Annual Stipends: Dedicated funds for your professional development and caretaking needs.
- Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the team that grow as your tenure does.
- Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
- Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support DEI goals.
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