About Infinity Loop

Infinity Loop is a venture-backed AI SaaS startup that empowers companies to take control of their third-party vendor relationships. Our platform ingests contracts from external vendors and uses advanced AI models to generate negotiation strategies and legal risk insights—helping customers save money and mitigate risk during renegotiations.

We’re a small, product-focused team with a huge vision: revolutionizing how enterprises manage external spend and vendor agreements. If you’re excited by greenfield challenges and want to help build foundational systems from the ground up, you’ll feel right at home with us.

What You'll Do

Architect the AI stack – select models, vector stores, and cloud infrastructure; laying the groundwork for a scalable and secure AI pipeline
Own the whole pipeline – data ingestion, cleaning, training, evaluation, deployment, monitoring, and fine-tuning
Operationalize AI – CI/CD for models and data, reproducible experiments, drift alerts, and usage dashboards
Optimize for enterprise realities – latency, cost, PII handling, and compliance‑friendly logging
Collaborate closely with Head of Engineering and product stakeholders to prioritize and execute high-impact work
Make pragmatic decisions in ambiguous environments, balancing technical elegance with business needs
Help shape the engineering culture, tooling, and processes at an early-stage company

What We're Looking For

We're looking for an experienced, hands-on engineer who thrives at the intersection of machine learning, infrastructure, and product. You’ll bring a strong foundation in ML/LLM systems and a builder’s mindset - someone who can ship fast, troubleshoot deeply, and scale what works.

You might be a fit if you have:

5+ years of experience writing clean, tested, production-ready code—ideally building distributed, cloud-native services.
2–3 years of LLM pipeline experience: You’ve built and debugged LLM systems in production, with a deep understanding of tokenization, context windows, sampling/temperature settings, and failure modes like hallucinations or drift.
Shipped generative AI or NLP products that balance real-world constraints like latency, cost, and data privacy.
Expertise in LLM tuning and retrieval, including prompt crafting, RAG (retrieval-augmented generation), embeddings, fine-tuning, and hallucination detection/mitigation.
2–4 years of broader ML/data science experience, turning raw data into models (e.g., classification, ranking, or NLP use cases).
A ML Ops mindset, with experience in CI/CD for models, experiment tracking, and production monitoring.
Product instincts - you work closely with domain experts, prototype quickly, and improve through iteration.
Technical leadership skills, including setting engineering standards, writing clear documentation, and mentoring others.
A bias for action - you unblock yourself, ship what matters, and polish to completion.
Excellent communicator in design docs, diagrams, and PRs, with the ability to explain trade-offs across engineering and product teams.

Nice to have

Experience with legal tech, procurement tech, or B2B SaaS a plus
Contributions to open-source LLM tooling or published blog posts / papers.

Why Join Us?

Massive ownership over your work and architectural direction
Greenfield opportunity to build a category-defining product from the ground up
Collaborate directly with a seasoned Head of Engineering and founders
Shape the future of contract intelligence and vendor negotiations
Competitive salary + early-stage equity

Ready to shape the future of contract negotiation? Apply now and help us build something extraordinary.

Infinity Loop AI Jobs

Latest Jobs

Senior AI/ML Engineer