Deskripsi Pekerjaan
At Nexus Intelligence, we are building the foundational infrastructure for the next generation of autonomous AI agents. We are a well-funded, early-stage startup backed by top-tier VCs (Sequoia, a16z) solving hard problems in distributed systems, LLM orchestration, and real-time data processing.
We are looking for a Senior Backend Engineer who thrives in ambiguity, writes clean, scalable code, and wants to define the technical architecture of a category-defining product. You will not just implement specs; you will own major subsystems from design to production.
Why Join Us?
- Technical Ownership: Greenfield architecture. Your decisions shape the product.
- High Density Talent: Work alongside former staff engineers from Google, Meta, and Stripe.
- Competitive Package: Top-of-market salary, significant equity (ISO options), 401k matching, and comprehensive health/wellness stipends.
- Hybrid Flexibility: 3 days/week in our beautiful Financial District office (Tues-Thurs), remote flexibility otherwise.
Tanggung Jawab
- Design, build, and maintain high-throughput, low-latency backend services (Go/Python) powering our core AI orchestration engine.
- Architect scalable distributed systems for model serving, RAG pipelines, and agent state management.
- Optimize database performance (PostgreSQL, Redis, Vector DBs) and implement robust caching strategies.
- Establish and enforce engineering best practices: code review standards, CI/CD pipelines, observability (OpenTelemetry, Datadog), and chaos engineering.
- Collaborate closely with Research Scientists to productionize ML models and optimize inference latency/cost.
- Lead incident response and post-mortem processes to ensure 99.99% platform reliability.
- Mentor junior engineers and contribute to technical hiring bar-raising activities.
Kualifikasi
- 7+ years of professional backend development experience; 3+ years in a Senior/Staff capacity.
- Expert-level proficiency in Go (Golang) or Python (proficiency in both is a major plus).
- Deep experience designing and operating distributed systems at scale (Kubernetes, gRPC, Kafka/NATS).
- Strong background in data-intensive applications: SQL/NoSQL optimization, message queues, and event-driven architectures.
- Proven track record of shipping ML/AI infrastructure (Model Serving, Feature Stores, Vector Search) or high-scale SaaS platforms.
- Bachelor's/Master's in Computer Science or equivalent practical experience.
- Excellent communication skills; ability to articulate complex technical trade-offs to non-technical stakeholders.