AI Engineer

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.

$/yr - $/yr

We’re looking for an AI Engineer to help us build and scale the next generation of AI‑powered systems ’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.

• 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.

• 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.

• Experience building scalable applications with LLMs, using frameworks such as Lang Chain, Llama Index, Hugging Face, etc.
• Depth of knowledge with RAG implementation and improvements.

• 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.

• Competitive salary + early‑stage equity.
• Company provided lunch in office everyday.
• Complimentary gym (Chelsea Piers Fitness) membership.
• Unlimited PTO.
• Regular offsites (NYC & global locations).

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• Software Development

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