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AI Engineering Lead/Sr. AI Engineer

We all witness the inefficiencies in how the public sector spends money. These inefficiencies hit hardest in critical areas such as national security, education, homelessness, and infrastructure, impacting the very fabric of our communities. We believe the root cause of public sector inefficiency lies in a broken procurement process that forces innovative, private companies to walk away from public sector opportunities. When red tape blocks innovation, taxpayers’ dollars are wasted, businesses can’t scale, and communities miss out on transformative improvements.

At Starbridge: we are building the future of public sector go-to-market. We envision a world where public contracts are transparent and accessible to all. One where any entrepreneur or business can understand the market, find opportunities, and compete on the merits of the product. Our mission at Starbridge is to catalyze a new era of public-private partnerships that change the world for the better.

Starbridge's Revenue AI Platform helps businesses grow public sector revenue. By identifying early buying signals, building strategic outbound capabilities, and automating manual processes like proposal writing, our partners win more contracts & establish a competitive edge.

Your responsibilities

  • Work in-person with the team in downtown Manhattan, NYC.

  • 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 skillx 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

Average salary estimate

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Engineering Lead/Sr. AI Engineer, Starbridge

At Starbridge, we are on a mission to reshape how public sector contracts are approached, and we're looking for an AI Engineering Lead/Sr. AI Engineer to join our dynamic team in vibrant New York City! If you're passionate about bridging the gap between innovative private enterprises and vital public services, this is your chance to make an impact. Your role will involve collaborating with our talented team to develop AI-powered capabilities that streamline processes like proposal writing and enhance search experiences. By utilizing state-of-the-art AI models from industry leaders such as OpenAI, Anthropic, and Gemini, you'll rigorously test and fine-tune our systems to ensure we are at the forefront of technology. We value fresh ideas and an eagerness to stay ahead in AI and machine learning, and we’ll rely on your expertise to implement CI/CD practices that ensure reliability and confidence as we build our cutting-edge systems. With a bachelor's degree in Computer Science or a related field and over five years of experience in software engineering and AI/ML development, your proficiency in Python and machine learning algorithms will be essential in driving our initiatives forward. Plus, your analytical prowess and problem-solving mindset will help us pave the way for public-private partnerships that yield tangible benefits for communities. If you're excited to work in a collaborative environment in downtown Manhattan and make a real difference, we would love to hear from you!

Frequently Asked Questions (FAQs) for AI Engineering Lead/Sr. AI Engineer Role at Starbridge
What are the responsibilities of the AI Engineering Lead/Sr. AI Engineer at Starbridge?

The AI Engineering Lead/Sr. AI Engineer at Starbridge is responsible for working closely with the team in New York City to develop AI-driven capabilities. This includes evaluating the performance of advanced AI models from providers like OpenAI, Anthropic, and Gemini, collaborating on initiatives such as AI proposal writing, and implementing robust testing and CI/CD practices to enhance our AI systems for public sector revenue generation.

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What qualifications do I need to apply for the AI Engineering Lead/Sr. AI Engineer position at Starbridge?

To apply for the AI Engineering Lead/Sr. AI Engineer position at Starbridge, you should have a bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, at least five years of professional experience in software engineering and AI/ML development, coding proficiency in Python, and strong knowledge of machine learning algorithms and systems design are required.

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What technical skills are emphasized for the AI Engineering Lead/Sr. AI Engineer role at Starbridge?

The position emphasizes a high level of coding proficiency in Python and experience with machine learning lifecycle tools such as MLflow and weights & biases. Familiarity with building scalable applications using LLMs, knowledge of cloud deployment of ML systems, and a strong background in analytics and problem-solving are also crucial for the AI Engineering Lead/Sr. AI Engineer role at Starbridge.

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How does Starbridge leverage AI technology for public contracts?

Starbridge leverages AI technology through its Revenue AI Platform, which helps businesses identify early buying signals, automate manual tasks like proposal writing, and ultimately win more public sector contracts. As an AI Engineering Lead/Sr. AI Engineer, you will actively contribute to productizing AI capabilities that foster innovation and transparency in the procurement process.

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What opportunities for growth does Starbridge offer to AI Engineering Lead/Sr. AI Engineer candidates?

Starbridge offers the AI Engineering Lead/Sr. AI Engineer candidates robust opportunities for growth, including the chance to work with cutting-edge AI models and technologies. Additionally, you will be encouraged to stay updated with advancements in the field and propose innovative enhancements, promoting both personal and professional development within an empowering work environment.

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Common Interview Questions for AI Engineering Lead/Sr. AI Engineer
Can you explain your experience with AI/ML development and the tools you've used?

In answering this question, detail your experience with machine learning development, emphasizing specific tools such as MLflow, Weights & Biases, or cloud deployment strategies. Highlight successful projects where you implemented AI solutions and how those tools contributed to successful outcomes.

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What methodologies do you follow when testing AI models?

Discuss the structured methodologies you follow, such as A/B testing or cross-validation, and how you track the performance of AI models. Emphasize your approach to refining models based on test results and your knowledge of successful testing frameworks.

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How do you prioritize tasks when working on multiple AI projects?

Talk about your strategies for prioritizing tasks, such as assessing project timelines, stakeholder requirements, and potential impact. Provide examples of how you’ve effectively managed multiple projects simultaneously without compromising quality.

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What challenges have you faced in AI development, and how did you overcome them?

Share specific challenges you've encountered, such as data quality issues or model performance gaps, and explain your process for overcoming them. Highlight how collaborative approaches and analytical skills played a role in resolving these challenges.

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How do you ensure your AI solutions are scalable and maintainable?

Explain your strategies for developing scalable AI systems, such as following best coding practices, leveraging modular design, and conducting regular code reviews. Emphasize the importance of documentation and testing in maintaining long-term system viability.

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What experience do you have with large-scale language models?

Provide insights into your experience working with large-scale language models, including frameworks and libraries you've utilized. Discuss any specific projects, their outcomes, and the impact these technologies had on the solutions you developed.

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Can you describe your familiarity with CI/CD practices in AI development?

Detail your experience with CI/CD practices, mentioning specific tools or frameworks you've used. Explain how implementing CI/CD has resulted in better workflow efficiency and faster deployment cycles in your previous projects.

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What is your approach to staying updated on the latest advancements in AI technology?

Discuss your strategies for staying informed, such as following reputable publications, attending conferences, and participating in online forums or communities. Mention how you incorporate new insights into your work at Starbridge.

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How do you communicate complex technical ideas to non-technical stakeholders?

Focus on your ability to translate complex technical concepts into clear, understandable language. Share examples where you successfully communicated with non-technical team members or clients to foster understanding and collaborative problem-solving.

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Why are you interested in the AI Engineering Lead/Sr. AI Engineer role at Starbridge?

Articulate your passion for AI and your desire to contribute to innovative solutions that impact public services. Mention how Starbridge’s mission aligns with your personal and professional values and how you envision your role contributing to that mission.

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Full-time, on-site
DATE POSTED
January 3, 2025

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