Systems Engineer

Company Description

Daice Labs is a forward-thinking company founded by MIT CSAIL scientists, specializing in integrating AI with symbolic reasoning and bio-inspired design to create adaptive hybrid systems. Our focus is on developing collaboration platforms that enable human teams to co-build with advanced AI, helping to address the challenges posed by traditional AI models. With a dedication to advancing AI research and translating natural intelligence principles into technological innovations, Daice Labs is paving the way for a new era of AI-driven productivity.

Role Description

This is a full-time remote role for a Systems Engineer. The Systems Engineer will be responsible for day-to-day tasks including systems engineering, troubleshooting, system administration, systems design, and providing technical support. The candidate will work collaboratively with cross-functional teams to ensure the optimal performance and reliability of our hybrid systems. This position requires a highly analytical and solution-oriented individual who can adapt to evolving technical challenges.

Responsibilities

• Build orchestration, queues, persistence, and policy hooks.
• Platform design and integration
• Design APIs (gRPC/HTTP) for agents/models, plugins, IDE; authn/z and rate limits.
• Observability (metrics/logs/traces) with SLIs/SLOs.
• Help Prioritize developer UX: fast feedback loops, traceable decisions, zero‑trust plugin flows.
• Help Coordinate cross‑functional delivery (FE/BE/SRE/Sec/Design).
• Help Define pricing/usage guardrails with finance/ops.

Qualifications

• Proficiency in Systems Engineering and Systems Design
• Experience with Troubleshooting and providing Technical Support
• Strong skills in System Administration
• Excellent problem-solving abilities and attention to detail
• Ability to work independently and remotely
• Bachelor's degree in Computer Science, Engineering, or related field
• Experience in AI or bio-inspired systems is a plus
• Effective communication and collaboration skills

Preferences

• Documented experience with Go/Rust/Python/Node, distributed systems, message queues (Kafka/NATS/SQS). idempotency, retries, backpressure.
• Postgres/Redis, transactions, caching; secure service‑to‑service auth.
• Production experience with tracing (OpenTelemetry) and fault tolerance. AuthN/Z (OIDC/OAuth2), rate‑limits, audit logging, tenancy boundaries.
• Workflow engines (Temporal preferred) or robust custom state machines/DAGs.
• gRPC for internal APIs; OpenAPI/JSON Schema for external; schema/versioning discipline.
• Experienced PM in dev tools/infra/ML platforms; shipped 0→1 products.
• Strong API/SDK intuition; comfortable with data, telemetry, and evaluation.
• Language & platforms: Go (primary), Postgres (+ pgvector), Redis, NATS/Kafka, gRPC/REST, Temporal, Docker/K8s on AWS EKS, Terraform, GitHub Actions.
• Excellent spec writing and stakeholder communication.

Compétences idéales

• Distributed Systems
• Systems Engineering

• Boston, Massachusetts, United States

Expérience professionnelle

• Site Reliability (SRE)
• System Engineer

Compétences linguistiques

• English