Member of Technical Staff

Closure
New York, San Francisco
Workplace: HybridFull timeUSD 135,000 - 215,000 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Python","React","LLMs","VLMs","Data pipelines","Distributed systems","Semantic modeling"]

Backend-focused engineer with deep AI grounding, capable of building resilient, distributed systems and deploying LLMs/VLMs in real-world settings. You will work across languages (notably Python and React) and infrastructure providers, design RAG/data pipelines, and adapt quickly as AI models evolve in a fast-paced startup environment.

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Closure
Closure
2 months ago

Member of Technical Staff

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Backend-focused engineer with deep AI grounding, capable of building resilient, distributed systems and deploying LLMs/VLMs in real-world settings. You will work across languages (notably Python and React) and infrastructure providers, design RAG/data pipelines, and adapt quickly as AI models evolve in a fast-paced startup environment.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build and maintain secure, scalable backend services and distributed systems.
  • •Deploy and manage AI models (LLMs/VLMs) in production, with emphasis on real-world grounding and agentic capabilities.
  • •Design and iterate on RAG pipelines and data architectures for unstructured and structured data.
  • •Collaborate in a fast-paced, founding-stage environment with autonomy and ownership.
  • •Stay current with AI advances and integrate new models/infrastructure approaches as needed.

Pay and Benefits

Salary: USD 135,000 - 215,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDental401kPaid LeaveLife InsuranceGym Membership

Key Requirements

  • •Backend engineering experience with distributed systems
  • •Hands-on experience deploying LLMs/VLMs or ML in real-world settings
  • •Strong comfort with programming languages (Python, React) and cloud/infrastructure providers
  • •Experience designing data pipelines for unstructured data (RAG) and structured data
  • •Ability to move fast in a startup, with proactive ownership and problem solving
Experience:6+ yearsAILLMDistributed systemsBackend
Skills:PythonReactLLMsVLMsData pipelinesDistributed systemsSemantic modeling
Languages:English
Tech Stack:PythonReactLLMVLMRAGCloudKubernetesDocker

Eligibility

Visa:US Citizen/Visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Closure
Offers an intelligence-driven cybersecurity platform that discovers and prioritizes vulnerabilities and external attack surface risks, helping security teams focus remediation on the most impactful threats to reduce organizational exposure.
Industry: Cybersecurity
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Website