Job Title:
MTS – Backend Engineer
Role Overview
Join a mission-driven AI company dedicated to setting the standard in enterprise-grade conversational intelligence. This organization blends cutting-edge large language models with proprietary knowledge systems, helping clients deploy AI assistants that continuously learn and grow more accurate over time.
As a key backend engineer, you’ll build the systems powering real-time LLM experiences, shaping the infrastructure behind millions of daily interactions. This role is deeply cross-functional, working at the intersection of applied AI, distributed systems, and high-performance product delivery.
Key Responsibilities
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Design and implement scalable backend systems and APIs for agentic workflows, memory layers, and tool integrations
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Build and maintain highly available infrastructure supporting real-time inference and conversation pipelines
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Develop and optimize internal platforms, including CI/CD, observability, and service templates
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Collaborate with research and frontend teams to prototype, ship, and iterate on user-facing features
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Lead initiatives to meet high performance, reliability, and security standards through automation, load testing, and monitoring
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Participate in on-call rotations to ensure system reliability and uptime
Education & Qualifications
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5+ years of experience developing and scaling backend systems for high-traffic applications
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Strong skills in Python, Go, Rust, or equivalent backend languages
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Deep knowledge of distributed systems and cloud-native tools (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)
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Proven track record of owning backend services from design through deployment and monitoring
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Excellent collaboration and communication skills across engineering disciplines
Preferred Experience
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Startup or fast-paced product environment experience
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Familiarity with LLM or AI-based product backends
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Experience building secure, compliant systems for regulated industries
Why Us
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Mission-Driven Impact – Shape how organizations deliver intelligent, brand-aligned interactions at scale
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Massive Scale – Work on systems that span thousands of GPUs and reach millions of users
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Career Growth & Ownership – Competitive compensation ($200,000–$350,000 base + bonus), meaningful equity, and the opportunity to lead projects end-to-end
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Open Source Culture – Active contributions to and maintenance of open-source AI infrastructure tools
Benefits
- Diverse medical, dental and vision options
- 401k matching program
- Unlimited paid time off
- Parental leave and flexibility for all parents and caregivers
- Support of country-specific visa needs for international employees living in the Bay Area
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This position does not offer sponsorship.
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