Senior Software Engineer

Clusia; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Clusia is seeking a hands-on technologist to own significant parts of our product and platform, spanning core architecture, infrastructure, and customer-facing AI-powered experiences. You will understand customer problems, make pragmatic decisions amid ambiguity, and build trustworthy systems suitable for a highly regulated environment.

The ideal candidate has hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems, coupled with full-stack product engineering and

Qualifications

• Hands-on experience with LLMs, agents, retrieval, prompting, production AI systems.

Responsibilities

• Own core parts of Clusia’s product and company architecture.
• Work across infrastructure and customer-facing workflows.
• Build trustworthy AI-powered experiences in a highly regulated environment.
• Understand customer problems and make sound technical decisions amid ambiguity.
• Deliver pragmatic, product-minded solutions independently.

Skills

Large Language Models

AI Agents

Retrieval

Prompting

Production AI Systems

Full-Stack Product Engineering

Cloud Services

Deployment

Observability

Reliability

Security

AI Evaluation

Testing

Benchmarking

Product Engineering

Startup Execution

Job description

Own important parts of Clusia’s product and company, spanning core architecture, infrastructure, customer-facing workflows, and AI-powered experiences. Understand customer problems, make sound technical decisions amid ambiguity, and build trustworthy systems for a highly regulated environment.

Requirements: Candidates should have hands-on experience with LLMs, agents, retrieval, prompting, production AI systems, and evaluating model quality, alongside full-stack product engineering and infrastructure expertise. They should be pragmatic, product-minded, comfortable owning ambiguous problems, empathetic toward users, and have a record of building things independently.

Key Skills: Large Language Models, AI Agents, Retrieval, Prompting, Production AI Systems, Full-Stack Product Engineering, Cloud Services, Deployment, Observability, Reliability, Security, AI Evaluation, Testing, Benchmarking, Product Engineering, Startup Execution

Benefits: Equity, Benefits