[Hiring] Senior Software Engineer @Factored

Role Description

As a Senior Software Engineer at Factored, you will engage full-time in designing and building the foundational systems that make enterprise-scale generative AI possible. Your work will transform cutting-edge AI strategies into secure, robust, production-grade applications used by global and Fortune 500 organizations. You will shape architectures, elevate performance, and deliver intelligent systems powered by agentic workflows and advanced ML capabilities. This role exists for engineers who want to own complex, high-impact problems and build at the frontier of AI.

Functional Responsibilities:

• Architect, design, and implement backend systems that integrate with LLMs, ensuring services are scalable, secure, and production-ready.
• Implement agentic architectures for complex AI workflows.
• Build, deploy, and manage cloud-native AI applications on AWS (Lambda, ECS, SageMaker) and other modern infrastructure.
• Fine-tune prompts and build RAG pipelines to optimize performance.
• Implement AI security guardrails and conduct risk assessments to ensure compliance, privacy, and safety.
• Monitor application health with observability tools (APM, logging, LLM performance metrics) and proactively resolve performance issues.
• Work closely with ML Engineers to consume and integrate trained models into production systems.
• Maintain high engineering standards: modular code, automated testing, CI/CD pipelines, and documentation.
• Partner with product managers, designers, and cross-functional teams to deliver user-facing AI features that drive measurable value.

Qualifications

• 5+ years of professional experience as a Software Engineer or in a related role, with a strong foundation in Python.
• Hands-on experience or strong interest in Generative AI frameworks such as LangGraph, LangChain, OpenAI, and RAG implementations.
• Experience with cloud platforms like AWS, including building, deploying, and managing cloud-native applications; exposure to Azure or GCP is also valuable.
• Experience designing and developing APIs using frameworks like FastAPI, Django, or Flask; willingness to learn best practices for scalable production systems is appreciated.
• Strong system design and problem-solving skills, including building, testing, and optimizing backend systems or AI workflows.
• Practical experience with databases (PostgreSQL or NoSQL), and vector databases for RAG workflows.
• Proficiency with DevOps and CI/CD tools such as Docker, Kubernetes, Terraform, and Git-based workflows.
• Understanding of deep learning model development and deployment, with familiarity using frameworks like PyTorch or HuggingFace; motivated learners are welcome.
• Excellent English communication skills, both written and spoken, with the ability to collaborate effectively with global teams and explain complex AI concepts clearly.
• A growth mindset and genuine interest in learning and applying new AI/ML techniques to real-world challenges.

Benefits

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company-wide winter break.
• Paid time off.
• Optional in-person events and meetups.
• Tailored career roadmaps.
• High-performance culture.