What are the responsibilities and job description for the MTS – Backend Engineer (4517) position at HIRECLOUT?
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
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
- 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
- Startup or fast-paced product environment experience
- Familiarity with LLM or AI-based product backends
- Experience building secure, compliant systems for regulated industries
- 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
- 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
Salary : $200,000 - $350,000