Applied AI Engineer
Hybrid (London, England, GB)$100k - $200kFull-timePosted 11mo ago
About the role
AI-native workspace role focusing on AI agent infrastructure, multi-agent systems, RAG pipelines, evaluation frameworks, and production-grade AI features across the stack.
Responsibilities
- Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, other languages/frameworks welcome).
- Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
- Ensure scalability, performance, and security across the stack.
- Develop and deploy AI-powered features in production, including RAG systems, multi-agent infrastructure, and evaluation frameworks (Evals).
- Create data pipelines for AI model training, evaluation, and continuous improvement.
- Mentor junior developers and promote engineering best practices.
Qualifications
- 5+ years of professional software engineering experience.
- Hands-on experience building and deploying AI applications in production environments.
- Strong backend development skills (Python preferred).
- Solid understanding of relational databases.
- Experience with Git and collaborative development workflows.
- Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Experience implementing background workers and task queues (Celery, RQ, etc.).
- Proficiency with Redis for caching, pub/sub, or job queues.
- Experience implementing RAG pipelines, AI agent orchestration, and performance monitoring.
- Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety.
Skills
Required:PythonRelational DatabasesGitCloud InfrastructureContainerizationCI/CDBackground WorkersRedisRAG PipelinesAI Agent OrchestrationLLM Evaluation
Nice to have:DjangoFastAPI
Benefits
- Competitive salary + equity
- Supportive and innovative work environment
- Opportunity to help shape and build a generational company
Last updated Sep 16, 2026. Interested? Apply on the company site.
About Model ML
AI Workspace for Financial Services.
Team: Chaz: Founder of Fat Llama YC S17 - Acquired by Hygglo. Responsible for Business and Sales Arns: Founder of Fancy S20 - Acquired by Gopuff, Responsible for tech and product.
artificial-intelligencesaasfinanceb2b
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