Job Overview

You’ll build the intelligence layer behind Flames — designing and deploying AI systems that power real-world coding workflows. This isn’t research-for-the-sake-of-it. You’ll take models from idea to production, focusing on performance, reliability, and developer impact.

You’ll work across the stack — from model integration and fine-tuning to inference optimization and system design. If you care about making AI actually useful (not just impressive demos), this role is for you.

What You'll Do

• Design, build, and deploy AI/ML models into production environments

• Work with LLMs and modern AI systems to power developer-facing features

• Fine-tune, evaluate, and optimize models for real-world performance

• Build and maintain data pipelines for training and inference

• Optimize latency, cost, and scalability of AI systems

• Collaborate with backend and product teams to integrate AI into core workflows

• Implement monitoring, evaluation, and feedback loops for continuous improvement

• Stay up to date with the latest advancements and apply them pragmatically

What We're Looking For

• Strong programming skills (Python preferred)

• 4+ years of experience in AI/ML engineering or applied machine learning

• Experience working with LLMs, NLP, or deep learning frameworks

• Hands-on experience with model deployment and production systems

• Understanding of data pipelines, feature engineering, and evaluation methods

• Experience with cloud platforms (AWS, GCP, or Azure)

• Strong problem-solving skills and ability to ship production-ready systems

What We Offer

• Fully remote work environment (US-based preferred)

• Competitive salary: $140,000 – $190,000 depending on experience

• Equity package included

• $2,000 annual learning & development budget

• Home office setup stipend

• Async-first culture — minimal meetings

• 25 days PTO + public holidays