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

• Design and implement scalable backend systems and APIs for agentic workflows, memory layers, and tool integrations

• Build and maintain highly available infrastructure supporting real-time inference and conversation pipelines

• Develop and optimize internal platforms, including CI/CD, observability, and service templates

• Collaborate with research and frontend teams to prototype, ship, and iterate on user-facing features

• Lead initiatives to meet high performance, reliability, and security standards through automation, load testing, and monitoring

• Participate in on-call rotations to ensure system reliability and uptime

Education & Qualifications

• 5+ years of experience developing and scaling backend systems for high-traffic applications

• Strong skills in Python, Go, Rust, or equivalent backend languages

• Deep knowledge of distributed systems and cloud-native tools (e.g., Kubernetes, gRPC, Postgres, Redis, Kafka)

• Proven track record of owning backend services from design through deployment and monitoring

• Excellent collaboration and communication skills across engineering disciplines

Preferred Experience

• Startup or fast-paced product environment experience

• Familiarity with LLM or AI-based product backends

• Experience building secure, compliant systems for regulated industries

Why Us

• Mission-Driven Impact – Shape how organizations deliver intelligent, brand-aligned interactions at scale

• Massive Scale – Work on systems that span thousands of GPUs and reach millions of users

• Career Growth & Ownership – Competitive compensation ($200,000–$350,000 base + bonus), meaningful equity, and the opportunity to lead projects end-to-end

• 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.