AI Engineer

Starbridge

New York (NY)

On-site

USD 200,000 - 380,000

Full time

14 days+

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Benefits offered by this job

Competitive salary + early-stage equity

Company provided lunch in office

Complimentary gym membership

Unlimited PTO

Regular offsites

Job summary

A technology company in New York is seeking an AI Engineer to build and scale AI-powered systems. You will work on projects involving LLM-driven features, collaborating with cross-functional teams to create innovative AI capabilities. The ideal candidate has over 5 years of experience in AI/ML development, proficient in Python, and possesses strong analytical skills. Join us to create impactful solutions in the public sector.

Qualifications

5+ years of professional experience in software engineering and AI/ML development.
Proficiency with production software (Python) and systems design.
Professional experience with LLMs and large-scale models.

Responsibilities

Collaborate closely with the team on AI capabilities.
Evaluate performance of AI models through rigorous testing.
Proactively suggest improvements to generative AI capabilities.

Skills

Coding proficiency in Python

Machine learning algorithms

Strong analytical and problem-solving skills

Ability to communicate complex ideas

Independent and collaborative work

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics

Tools

MLflow

DVC

Weights & Biases

Job description

Join to apply for the AI Engineer | NYC role at Starbridge.

This range is provided by Starbridge. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $380,000.00/yr

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 the performance of AI models (we will work with models from OpenAI, Anthropic, Gemini) & 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.
High level of coding proficiency using Python.
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.
Strong analytical and problem‑solving skills.
Ability to communicate complex ideas and concepts effectively.
Ability to work independently and collaboratively.

Preferred Skills

Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc.
Depth of knowledge with RAG implementation and improvements.

Why Join Starbridge

Ownership: Your impact will be as large as you want it to be; we are an incredibly flat team that rewards high performers very quickly.
Autonomy: You’ll have freedom to innovate and iterate alongside the team.
Team: Work alongside sharp, collaborative colleagues who value craft and execution.
Mission: Help modern companies sell into a $1.5T public sector with better intelligence.

Benefits include