Backed by a16z.
About the role
We are seeking a highly motivated AI Engineer to join our Cloud Software Engineering team. In this role, you will help design, develop, and optimize AI-powered applications and intelligent services that improve developer productivity, knowledge discovery, and engineering workflows. You will work across machine learning, large language models (LLMs), search technologies, data pipelines, and cloud-native platforms to deliver scalable AI solutions for internal and external users. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field
- 3+ years of industry experience in software engineering, machine learning, data science, or related disciplines
- Strong programming skills in Python, typescript, and familiarity with modern software development practices
- Experience working with machine learning, generative AI, large language models, or information retrieval systems
- Understanding of vector databases, search technologies, embeddings, or retrieval-augmented generation (RAG) concepts
- Experience developing scalable services on public cloud platforms such as Azure, AWS, or Google Cloud
More about this role
Team: Cloud Software Engineering – Quartus AI, Altera
We are seeking a highly motivated AI Engineer to join our Cloud Software Engineering team. In this role, you will help design, develop, and optimize AI-powered applications and intelligent services that improve developer productivity, knowledge discovery, and engineering workflows. You will work across machine learning, large language models (LLMs), search technologies, data pipelines, and cloud-native platforms to deliver scalable AI solutions for internal and external users.
This is an opportunity to work at the intersection of AI, cloud computing, and software engineering, collaborating with cross-functional teams to build next-generation intelligent systems.
Design and develop AI and machine learning solutions that leverage modern LLMs, retrieval systems, and agent-based architectures.
Design, build, and optimize agentic AI workflows that coordinate LLMs, tools, enterprise data sources, APIs, and multi-step reasoning to automate complex engineering and knowledge-discovery tasks.
Build and optimize data processing, indexing, and retrieval pipelines to enable intelligent search and knowledge discovery.
Develop evaluation...
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