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Remote 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

  • 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

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

Are you ready to take the lead in transforming how the public sector harnesses the power of AI? Join Starbridge as a Remote AI Engineering Lead/Sr. AI Engineer and contribute to our mission of revolutionizing public-private partnerships. We're on a quest to streamline the procurement process and uncover accessible opportunities for aspiring entrepreneurs and innovative businesses. At Starbridge, we believe that by making public contracts transparent, we can empower businesses while ensuring taxpayers' money is spent effectively. As the engineering lead, you’ll collaborate closely with our talented team to develop AI-powered functionalities such as proposal writing and search experiences. You'll also evaluate the performance of various AI models like OpenAI and Anthropic, ensuring top-tier efficiency through rigorous testing. Staying abreast of cutting-edge advancements in AI and machine learning is key as you proactively suggest improvements to our generative capabilities. With your bachelor’s degree in a relevant field and at least 5 years of experience in software engineering and AI/ML development, you'll contribute significantly to implementing robust CI/CD practices, all from the comfort of your home. Join us, and help us define the future of public sector engagement while making a real difference in our communities.

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

As a Remote AI Engineering Lead/Sr. AI Engineer at Starbridge, you'll play a vital role in productizing AI capabilities, evaluating AI model performance, and staying updated with the latest machine learning advancements. Your responsibilities will include collaborating with the team to enhance generative AI features, implementing robust testing and CI/CD practices, and suggesting improvements to maintain a competitive edge in AI solutions.

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What qualifications are required for the Remote AI Engineering Lead/Sr. AI Engineer position at Starbridge?

To be considered for the Remote AI Engineering Lead/Sr. AI Engineer role at Starbridge, candidates must hold a bachelor's degree in Computer Science, Engineering, or a related field, along with at least 5 years of professional experience in AI/ML development. High proficiency in Python, strong software engineering skills, and the ability to work independently and collaboratively are also essential qualifications.

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What preferred skills are sought for the Remote AI Engineering Lead/Sr. AI Engineer at Starbridge?

In addition to the basic qualifications, Starbridge prefers candidates who have experience with large language models (LLMs) and scalable application development using frameworks like LangChain and Hugging Face. Knowledge of Retrieval-Augmented Generation (RAG) implementation and improvements is also a significant plus.

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How does the Remote AI Engineering Lead/Sr. AI Engineer contribute to public-private partnerships at Starbridge?

The Remote AI Engineering Lead/Sr. AI Engineer at Starbridge contributes to public-private partnerships by developing innovative AI tools that streamline procurement processes. By enhancing transparency and accessibility, the role supports entrepreneurs and businesses in competing effectively for public contracts, ultimately enabling transformative improvements in communities.

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What is the working environment like for a Remote AI Engineering Lead/Sr. AI Engineer at Starbridge?

The working environment for a Remote AI Engineering Lead/Sr. AI Engineer at Starbridge is collaborative and innovative. The team values continuous learning and improvement, providing opportunities to work on cutting-edge AI technologies while encouraging independent work. You’ll have flexibility and support to excel in a remote setting.

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Common Interview Questions for Remote AI Engineering Lead/Sr. AI Engineer
Can you explain your experience with Python in the context of AI/ML development?

When answering this question, highlight specific projects where you used Python for machine learning. Discuss any frameworks or libraries you are proficient with, such as TensorFlow or PyTorch, and explain how Python facilitated your AI development tasks.

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What strategies do you employ to evaluate the performance of AI models?

In your response, mention various evaluation metrics such as accuracy, precision, and recall. Discuss methodologies you’ve used, including cross-validation and A/B testing, to ensure that the AI models meet performance benchmarks.

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Describe a challenging problem you faced while developing a machine learning model and how you solved it.

This is your chance to showcase your problem-solving skills. Detail the nature of the challenge, the steps taken to analyze it, the solution implemented, and the tools used to overcome the problem. Be sure to highlight any collaborative efforts involved.

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How do you stay updated with the latest advancements in AI and machine learning?

Talk about the various resources you use, such as academic journals, conferences, online courses, and AI community forums. Mention any specific areas of interest or recent trends you’re following, which would demonstrate your proactive learning approach.

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What experience do you have with CI/CD practices in AI/ML development?

Explain your familiarity with CI/CD tools and practices, outlining any specific tools you have used, such as Jenkins or GitLab. Describe how you have integrated these practices into your workflow to enhance efficiency and reliability in model deployment.

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Can you provide an example of how you’ve used machine learning algorithms in a project?

Share a specific instance where you applied machine learning algorithms. Describe the problem, the algorithm chosen, and the outcome of the project to demonstrate your practical knowledge and decision-making skills.

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What is your approach to collaborating with cross-functional teams?

Illustrate your collaboration skills by discussing how you communicate complex technical ideas to non-technical team members. Mention any tools or methodologies you use to facilitate teamwork and ensure everyone is aligned on project goals.

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How do you ensure that your AI models are scalable and maintainable?

Discuss practices you follow to design scalable AI solutions such as modular architecture, code reviews, and documentation. Mention any frameworks that support scalable systems and reference specific instances where you successfully implemented these principles.

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What are the most important factors to consider when deploying machine learning systems in the cloud?

Outline considerations such as security, scalability, cost management, and performance monitoring. Provide examples of cloud services you've used and your strategies for optimizing machine learning deployments in those environments.

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How do you communicate complex AI concepts to stakeholders?

Highlight your ability to distill complex information into understandable formats for various stakeholders. Mention techniques like data visualization, presentations, or simplified explanations to convey your message effectively.

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DATE POSTED
January 3, 2025

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