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NEXTMOVEFDE careers · United States
MLabs

Staff Software Engineer - Backend & AI Infra

AI summary of the role

Lead the evolution of the per-agent process, migrating from a distributed Go/Python hybrid to a centralized, high-performance Go service using Postgres state and real-time websocket price feeds.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Build a YAML-configurable 'Scanner Gateway' for signal production and execution, enabling complex scoring and filtering without code changes.
  • Develop and maintain the RatchetStop Backend, a centralized profit-trailing service for sub-second evaluation and websocket-based order execution.
  • Lead the migration of agents from third-party platforms to a custom-built environment with isolated workspaces and state persistence.
  • Architect telemetry and feedback loop systems to capture agent decisions and scores for continuous improvement.

What you’ll bring

  • Expert backend engineering in Go, Python, and Node.js/TypeScript (Go strongly preferred).
  • Proven startup experience building complex backend services from scratch.
  • Deep understanding of low-latency environments, websocket management, and sub-second condition evaluation.
  • Production experience with Postgres, Redis, and at least one analytical database (e.g., ClickHouse, TimescaleDB, BigQuery).

Technologies

Go · Python · Node.js · TypeScript · Postgres · Redis · ClickHouse · Kubernetes · AWS EKS · WebSocket · vLLM · TensorRT-LLM

About MLabs

Haskell/Rust consultancy delivering formally-verified, high-assurance software via staff augmentation and codebase stewardship for blockchain and global-payments firms moving large value.

Bootstrapped · 50–100 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Description Staff Software Engineer - Backend & AI Infra Remote | Full-time Location: Based in US to GMT timezones Compensation: Competitive Compensation Package Our client is a high-growth technology firm. They are seeking a Staff Software Engineer to spearhead two critical domains: the core agent runtime and backend infrastructure powering a high-frequency trading fleet, and the comprehensive migration of model hosting and agent deployment to in-house, proprietary infrastructure. This is a foundational, high-impact building role. The successful candidate will design and implement the backend services, runtime engines, and deployment systems that enable a fleet of autonomous agents to operate with superior speed, reliability, and intelligence. By moving away from third-party LLM providers and hosted platforms, this role will establish the sovereign infrastructure necessary for
More from the job description

Description Staff Software Engineer - Backend & AI Infra Remote | Full-time Location: Based in US to GMT timezones Compensation: Competitive Compensation Package Our client is a high-growth technology firm. They are seeking a Staff Software Engineer to spearhead two critical domains: the core agent runtime and backend infrastructure powering a high-frequency trading fleet, and the comprehensive migration of model hosting and agent deployment to in-house, proprietary infrastructure. This is a foundational, high-impact building role. The successful candidate will design and implement the backend services, runtime engines, and deployment systems that enable a fleet of autonomous agents to operate with superior speed, reliability, and intelligence. By moving away from third-party LLM providers and hosted platforms, this role will establish the sovereign infrastructure necessary for the next generation of autonomous financial software. Key Responsibilities Agent Runtime & Backend Development Plugin Runtime Ownership: Lead the evolution of the per-agent process, migrating from a distributed Go/Python hybrid to a centralized, high-performance Go service utilizing Postgres state and real-time websocket price feeds. Rules Engine Engineering: Build a YAML-configurable "Scanner Gateway" to bridge signal production and execution, allowing for complex scoring and filtering without [... source excerpt omitted ...] nd coding capabilities. Technical Interview: A deep dive into systems architecture and engineering expertise. Final Interview: Cultural alignment and final technical synthesis. Requirements Technical Essentials Expert Backend Engineering: Proficiency in writing production-grade code in Go, Python, and Node.js/TypeScript (Go is strongly preferred for runtime services). Startup Experience: A proven track record of building complex backend services (APIs, job scheduling, distributed systems) from scratch in a fast-paced environment. Real-Time Systems: Deep understanding of low-latency environments, websocket management, and sub-second condition evaluation. Database Mastery: Prod [... source excerpt omitted ...] ence with Postgres, Redis, and at least one analytical database (e.g., ClickHouse, TimescaleDB, or BigQuery). Orchestration: Hands-on experience deploying, scaling, and debugging production workloads on Kubernetes (AWS EKS). End-to-End Ownership: Demonstrated ability to design, build, deploy, and maintain systems throughout their entire lifecycle. Preferred Qualifications LLM Infrastructure: Experience with model serving and optimizing inference (e.g., vLLM, TGI, or TensorRT-LLM). FinTech/Trading: Background in exchange APIs, wallet operations, or on-chain infrastructure where uptime has direct financial consequences. Agentic Frameworks: Familiarity with Model Context Protoco

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