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AI Engineer
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AI Infrastructure
Agentic Frameworks
About the Role
Starbridge is an AI-powered go-to-market platform helping companies win more public-sector contracts. Our tools help teams spot opportunities early, prioritize accounts, and reach decision-makers before RFPs are released.
About the Role
We are looking for an AI Engineer to develop and deploy LLM-driven features in our product. You will build AI capabilities such as deep document analysis and interactive chat experiences, combining software engineering with applied machine learning to deliver production-ready systems.
Responsibilities
- Build, evaluate, and deploy LLM-driven features including deep document analysis and interactive chat
- Work with models from OpenAI, Anthropic, and Gemini
- Design and implement RAG pipelines
- Build scalable, distributed production ML systems
- Run experimentation and ensure production reliability
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent
- 5+ years professional experience in software engineering and AI/ML development
- Proficiency with Python and systems design
- Knowledge of ML lifecycle tools (MLflow, dvc, weights & biases)
- Cloud deployment experience for ML systems
- Professional LLM and large-scale model experience
- Strong track record building scalable, distributed production ML systems
Nice to have
- Experience with LangGraph, LiteLLM, Agent Client Protocol, Koog
- RAG implementation expertise
- Kotlin proficiency
Location and Compensation
New York City (on-site). $200K – $380K annually + early-stage equity.
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