What You’ll Do:
- Architect and implement scalable AI systems and applications powered by LLMs and multi-agent frameworks.
- Lead end-to-end development efforts, including model integration, infrastructure design, and application logic.
- Prototype and deploy GenAI applications that combine retrieval, tool use, reasoning, and interactivity.
- Contribute to decision-making around model selection, finetuning, evaluation, and safety mechanisms.
- Monitor AI/ML performance in production and drive continuous improvement of prompt, RAG, and agent pipelines.
- Stay at the forefront of GenAI developments and bring innovative ideas into the product roadmap.
What You Must Bring:
- 4+ years of experience working in ML or AI engineering roles, ideally with a focus on NLP or GenAI.
- Deep understanding of how modern LLMs work, including transformer architectures, finetuning, and evaluation.
- Hands-on experience implementing and optimizing GenAI techniques such as: Tool/function calling, Multi-agent workflows, Retrieval-Augmented Generation (RAG), Finetuning or custom training (e.g., LoRA, PEFT), and Structured prompting and evaluation.
- Proficiency with GenAI frameworks and tools (e.g., LangChain, LlamaIndex, Hugging Face, Haystack).
- Experience integrating LLMs into real-world applications, including building internal tooling or customer-facing AI features.
- Solid foundation in full-stack development or backend systems (Python, TypeScript, FastAPI, etc.).
- Experience designing and deploying scalable APIs and cloud infrastructure (AWS, GCP, or Azure).
- Proficient with databases (PostgreSQL, MongoDB, or vector DBs like Pinecone or Weaviate).
- Comfortable working in agile product teams and balancing experimentation with shipping reliable code.
- Strong Git/GitHub collaboration skills and comfort working with CI/CD workflows and containerization (Docker, etc.).
Bonus Points:
- Experience working in a startup or research-oriented environment.
- Prior exposure to open-source AI models (e.g., LLaMA, Mistral, Mixtral) and fine-tuning them.
- Publications, technical blog posts, or demos of past AI work.
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What We Do
Who is AI Fund?
We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence.
Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.
How Are We Different?
We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge.
We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most.
Why Work With AI Fund?
Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.
We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
