Starbridge
AI Engineer
New York City
Sponsorship not specifiedDetected 273 days ago
PythonKotlinAlgorithmsCI/CDMachine LearningLLMsRAGLangGraphA/B TestingResearch
About the role
- 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.
- 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.
Responsibilities
- You'll collaborate closely with our engineering and product teams to design new AI capabilities, such as deep document analysis and interactive chat experiences.
- Collaborate closely with our team as we productize new AI-powered capabilities: such as AI proposal writing & search experiences.
- Implement strong testing and CI/CD practices that help us move with confidence in our AI system development
- Experience building scalable applications with LLMs, using frameworks such as LangGraph, LiteLLM, Agent Client Protocol, and Koog
- Build Bridges to Help Customers Win
- Fun is a Feature means we intentionally design Starbridge to be an energizing place to do hard work.
Requirements
- Ability to communicate complex ideas and concepts effectively
- Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
- Proficiency with production software (Python) and systems design
- Professional experience with LLMs and large-scale models
Nice to have
- Depth of knowledge with RAG implementation and improvements
- Proficiency with Kotlin
Skills
- ML lifecycle tools like MLflow, dvc, weights & biases
- Cloud deployment of ML systems
Compensation
- Competitive salary + early-stage equity
Benefits
- Competitive salary + early-stage equity
- Comprehensive medical, dental, and vision insurance
- 75% coverage of Chelsea Piers Fitness membership
Company info
- Starbridge helps go-to-market teams win in the public sector.
- Government buyers signal their priorities constantly, in council meetings, budget documents, RFPs, and public records, but that intelligence is scattered across thousands of sources and impossible to track by hand.
- Our platform surfaces those signals, connects them to the right buyers, and turns them into pipeline.
- We move fast, stay close to our customers, and are building the category.
- This is a chance to join early and shape how we scale.
- Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
- Have experience working in a startup or a smaller company with real engineering impact.
- 5+ years of professional experience in software engineering,
- Machine learning algorithms and model development techniques
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This listing is sourced directly from Starbridge's careers page and normalized into a canonical job model.