Software Engineer

Clusia; New York (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Clusia is seeking an experienced AI engineer to own important parts of the product and company, spanning core architecture, infrastructure, customer-facing workflows, and AI-powered product experiences.

You will understand customer problems, make sound technical decisions amid ambiguity, and build trustworthy systems for a highly regulated environment. This role requires hands-on work with LLMs, agents, and deployment at scale.

Qualifications

• Experience with LLMs, agents, retrieval, prompting, and production AI systems.
• Ability to build reliable full-stack products in cloud environments.
• Proven track record in startup settings with pragmatic execution and user empathy.

Responsibilities

• Own important parts of the product and company architecture.
• Design and implement scalable, secure systems in a regulated environment.
• Collaborate on customer workflows and AI-powered product experiences.
• Make sound technical decisions amid ambiguity and drive projects to production quality.

Skills

Large Language Models

AI Agents

Retrieval

Prompting

Production AI Systems

Full-Stack Product Engineering

Cloud Services

Deployment

Observability

Reliability

Security

AI Evaluation

Benchmarking

Product Development

Technical Decision-Making

Infrastructure

Job description

Own important parts of the product and company, spanning core architecture, infrastructure, customer-facing workflows, and AI-powered product 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 and agent quality. They should also be able to build reliable full-stack products, work with cloud infrastructure and security, execute pragmatically in a startup environment, and show empathy for users and a history of building things.

Key Skills: Large Language Models, AI Agents, Retrieval, Prompting, Production AI Systems, Full-Stack Product Engineering, Cloud Services, Deployment, Observability, Reliability, Security, AI Evaluation, Benchmarking, Product Development, Technical Decision-Making, Infrastructure

Benefits: Equity, Benefits