ZenGRC is hiring an A.I. Engineering Intern/Fellow

Life360 is hiring an AI Engineering Intern/Fellow to work on production-grade AI systems and agents. You will experiment with agentic design ideas, build and integrate MCP servers, add new developer frameworks, and integrate foundational models into our platform.

What You'll Do

• Integrate LLM developer frameworks such as Pydantic AI, Semantic Kernel, and Crew AI.
• Work on internal infrastructure for RAG pipelines that power the product's AI agents.
• Add evaluation datasets and develop evaluation methods.
• Assist in bringing improvements into the product offering, including developer-facing SDKs, agent orchestration, and compliance-ready AI workflows.
• Document and share findings to help shape the future of development culture.

What We're Looking For

• Currently pursuing a BS, MS, or PhD in Computer Science, Engineering, or a related technical field.
• Strong programming skills in Python, C/C++, Go or similar languages.
• Familiarity with CI/CD systems like GitHub Actions, CircleCI, Argo and cloud platforms like AWS, GCP.
• Strong coding skills with a continuous learning mindset to work with senior technical team and ship features in production.

Nice to Have

• Interest or experience with foundational models and LLM frameworks like HuggingFace, OpenAI/Anthropic APIs.
• Interest or experience with infrastructure for RAG—vector databases like Pinecone, Weaviate, FAISS, embeddings pipelines, and knowledge orchestration.

Technical Stack

• Languages: Python, C/C++, Go
• CI/CD: GitHub Actions, CircleCI, Argo
• Cloud: AWS, GCP
• AI/ML: HuggingFace, OpenAI/Anthropic APIs
• Vector Databases: Pinecone, Weaviate, FAISS

Team & Environment

You will work with the Data and AI team, which is part of a larger organization of over 50 employees across North America.

Benefits & Compensation

• Work on the frontier of AI and engineering culture, shipping AI features in production.
• Exposure to foundational models, LLM developer frameworks, and AI best practices in a real-world enterprise setting.
• High-impact projects that directly influence customer-facing platform features.
• Join a world-class team with backgrounds from MIT, Harvard, Google, Qualcomm, Kyruus, and leading biotech startups.
• Gain hands-on experience in shipping production-grade code while shaping how LLM frameworks and Agentic designs are embedded into the platform.

Work Mode

This role offers a hybrid work arrangement. Locations include Boston, MA, and Remote within North America.

Manifold AI is committed to providing equal pay for equal work in accordance with the Massachusetts Equal Pay Act and all applicable state and federal laws.