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Loop

Loop

loop.com

2 Jobs

104 Employees

About the Company

AI-powered cost savings for modern logistics

Listed Jobs

Company background Company brand
Company Name
Loop
Job Title
2026 New Grad | Software Engineer, AI
Job Description
**Job Title**: 2026 New Grad | Software Engineer, AI **Role Summary** Fast‑track entry into production AI systems that power global supply‑chain logistics. Deploy code to production immediately, design and run deep‑learning foundations on freight data, and build full‑stack solutions, AI agents, and infrastructure that enable real‑world automation for Fortune 100 customers. **Expactations** - Graduate in 2026 with a BS or higher in a STEM field. - Begin full‑time employment; work on‑site four days a week (SF or NYC). - Deliver production‑grade code within the first week and become self‑sufficient by month 3. - Rotate through high‑impact teams (Infrastructure, Platform, Agents, Modeling, Special Projects). - Demonstrate mid‑level engineer performance by program completion. **Key Responsibilities** - Develop and maintain critical logistics and financial data infrastructure. - Own end‑to‑end project requirements, engage with customers, and advocate for optimal technical solutions. - Build, train, and operate foundation models and LLM‑driven agents on proprietary freight invoice data. - Extend the internal stack from full‑stack web applications to AI tooling and backend services. - Continuously optimize development pipelines, refactor legacy code, and automate repetitive workflows via AI. - Participate in cross‑functional rotations to broaden technical scope and impact. **Required Skills** - Proficient in modern web and cloud technologies (JavaScript/TypeScript, React/Next.js, Node.js, REST/GraphQL, SQL/NoSQL, Docker, CI/CD, AWS/Azure/GCP). - Strong foundation in machine learning: data pipelines, model training, inference, and MLOps (PyTorch/TensorFlow, HuggingFace, model serving). - Deep understanding of LLM behavior, including strengths, failure modes, and prompt engineering. - Experienced with AI tooling (Cursor, Codex, Claude, other code‑generation platforms). - Excellent debugging, architecture design, and problem‑solving skills. - Ability to work independently in ambiguous, rapidly changing environments. **Required Education & Certifications** - Bachelor of Science or higher in Computer Science, Electrical Engineering, Data Science, or related STEM discipline.
San francisco, United states
On site
28-01-2026
Company background Company brand
Company Name
Loop
Job Title
AI Engineer
Job Description
Job Title: AI Engineer Role Summary: Design, develop, and deploy large multimodal language models and AI agents to extract, normalize, and link supply‑chain data. Build scalable ML pipelines and inference infrastructure, and collaborate cross‑functionally to integrate AI into Loop’s audit and pay platform. Expections: - Demonstrate high‑accuracy document extraction and data linking at scale. - Deliver production‑ready code and models within fast‑paced timelines. - Communicate complex technical concepts effectively to domain experts. Key Responsibilities: - Train, evaluate, and fine‑tune multimodal LLMs for multilingual document extraction. - Deploy models on cloud platforms (AWS, GCP, Azure) and manage scaling of inference pipelines. - Construct AI agents for auditing freight invoices and ingesting long contracts. - Engineer backend components and atomic tasks supporting AI workflows. - Iterate on model architecture to meet reliability and scalability targets. - Test, monitor, and optimize model performance post‑deployment. Required Skills: - 1+ year deep‑learning experience (PyTorch, TensorFlow). - Strong grasp of core ML concepts and multimodal LLMs. - Proven ability to fine‑tune LLMs and build agentic systems. - Production‑grade software engineering skills and code‑shipping experience. - Familiarity with cloud services (compute, storage, orchestration). - Excellent written and verbal communication; collaborative mindset. - Proactive learner of current AI research and emerging techniques. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Machine Learning, Data Science, or related field. - Relevant certifications in ML/AI or cloud platforms are a plus.
San francisco, United states
Hybrid
Fresher
06-03-2026