AI Engineer | NYC

Starbridge; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary + early-stage equity

Comprehensive medical, dental, and vision insurance

Company provided lunch in office every day

75% coverage of Chelsea Piers Fitness membership

Unlimited PTO

Regular offsites

Job summary

Starbridge is seeking an AI Engineer to develop and enhance AI-powered features within their product in New York City. The role involves collaborating with teams to implement LLM-driven capabilities, ensuring high-performance AI systems, and conducting thorough evaluations of AI models.

The ideal candidate has over 5 years of software engineering experience, especially in AI/ML, with strong skills in Python and understanding of LLMs. Benefits include a competitive salary, equity, and comprehensive health insurance.

Qualifications

• 5+ years of professional experience in software engineering, AI/ML development.
• Strong software engineering skills with a track record of building scalable ML systems.
• Ability to communicate complex ideas effectively.

Responsibilities

• Collaborate on productizing AI-powered capabilities.
• Monitor and evaluate AI model performance.
• Implement strong testing and CI/CD practices.

Skills

Python

Machine learning algorithms

ML lifecycle tools

Cloud deployment of ML systems

Large-scale models and LLMs

Kotlin

Education

Bachelor’s degree in Computer Science or related field

Tools

MLflow

Weights & Biases

Job description

About the role

We’re looking for an AI Engineer to help us build and scale the next generation of AI-powered systems at Starbridge. You’ll work on projects that sit at the core of our product—building, evaluating, and deploying LLM-driven features that make it easier for organizations to access, understand, and act on complex public data.

You’ll collaborate closely with our engineering and product teams to design new AI capabilities, such as deep document analysis and interactive chat experiences. This role combines hands‑on software engineering, applied machine learning, and product experimentation, with the goal of delivering reliable, high‑performing AI systems to production.

You’ll have the opportunity to work with models from OpenAI, Anthropic, and Gemini, contribute to our AI infrastructure, and play a key role in shaping how we leverage generative AI across our platform.

Your responsibilities

• Collaborate closely with our team as we productize new AI‑powered capabilities: such as AI proposal writing & search experiences.

• Evaluate and monitor the performance of AI models (we will work with models from OpenAI, Anthropic, Gemini, Parallel.ai) & systems through rigorous testing and experimentation.

• Stay up‑to‑date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.

• Implement strong testing and CI/CD practices that help us move with confidence in our AI system development.

Is this you?

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience

• Have experience working in a startup or a smaller company with real engineering impact.

• 5+ years of professional experience in software engineering, AI/ML development including:

  • Proficiency with production software (Python) and systems design

  • Machine learning algorithms and model development techniques

  • ML lifecycle tools like MLflow, dvc, weights & biases

  • Cloud deployment of ML systems

  • Professional experience with LLMs and large‑scale models

• Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems

• Product thinking: ability to take product requirements and strategize how to apply LLMs

• Ability to communicate complex ideas and concepts effectively

Preferred Skills:

• Experience building scalable applications with LLMs, using frameworks such as LangGraph, LiteLLM, Agent Client Protocol, and Koog

• Depth of knowledge with RAG implementation and improvements

• Proficiency with Kotlin

Benefits include:

• Competitive salary + early‑stage equity

• Comprehensive medical, dental, and vision insurance

• Company provided lunch in office everyday

• 75% coverage of Chelsea Piers Fitness membership

• Unlimited PTO

• Regular offsites (NYC & global locations)