
Senior Software Engineer (GenAI/ML)
The best years of your career start here.
This is a full-time engineering role centered on execution. You will architect production AI systems alongside client teams, remediating complex bottlenecks where retrieval precision, model alignment, latency, and system reliability are mission-critical.
We hold a high bar for excellence; you will operate among elite peers who uphold these same rigorous engineering standards.
You will architect and operationalize end-to-end backend systems that integrate with LLMs, ensuring services are scalable, secure, and production-ready. Success requires the ability to technically justify architectural decisions regarding agentic frameworks (LangGraph, LangChain) and cloud-native deployments.
This role accelerates your mastery through sophisticated technical challenges, from fine-tuning prompts to building robust RAG pipelines and AI security guardrails.
As a Senior Software Engineer at Factored, you engineer AI solutions that drive measurable business impact for leading U.S. companies.
You will solve real-world problems at scale, bridging the gap between cutting-edge AI strategy and the secure, robust production environments defining how modern GenAI ecosystems are deployed.
Selection Process
FAQs
Factored exists to make the best years of an engineer’s career possible. We are a launchpad for the top 1% of talent, fostering an environment that prioritizes:
- Execution
- Owner mentality
- Production systems
Our community thrives on meritocracy, high standards, and transparency.
You will architect and deploy production-ready RAG systems, including:
- High-performance retrieval pipelines (embeddings, hybrid search, semantic reranking)
- Agentic LLM applications (advanced search, autonomous copilots, summarization)
- Robust evaluation and drift monitoring systems
- End-to-end GenAI architectures integrated into enterprise products.
Your work is deterministic and built for scale.
You belong here if you:
- Maintain an owner mentality for systems end-to-end
- Prioritize performance, scalability, and measurable ROI
- Embrace a culture of learning and challenge assumptions
- Collaborate proactively with high-performing U.S. teams
We value technical rigor, clinical precision, and execution discipline.
Growth at Factored is exponential, driven by work that amplifies your potential. You will:
- Centers of Excellence (COEs): Sharpen your expertise within our internal engines for ML/AI, Data Engineering, and Software Engineering, which continuously raise the bar on industry excellence.
- Encouragement for Global R&D: We actively investigate and co-develop groundbreaking research with you. Factored is where you can showcase your brilliance at prestigious global events like NeurIPS and ICML.
- Advanced Learning & Training: Access our Programs and expert-led courses designed to master high-demand skills.
- Direct Investment in Your Success: Benefit from a people-first culture where specialized staff obsess over your professional growth and impact.
We cultivate mastery across technical depth, architectural judgment, and team impact.
- Fully remote, LATAM-based
- Work aligned with U.S. time zones
- Flexible schedules aligned with client needs
- High autonomy with strong accountability
You will be part of high-caliber teams driving impact.
- Remote-first culture across LATAM with premium equipment
- Long-term ownership through equity participation
- Competitive salary for top AI talent
- Annual performance-based bonuses and company retreats
- Educational stipends for continuous upskilling and mastery
- Flexible PTO and company-wide winter recharge break
- In-person tech talks, expertise groups, and community meetups
- Tailored career roadmaps designed to accelerate your trajectory
- A vibrant, high-performance culture grounded in belonging
We invest in environments where engineers can do their best work consistently.
- Take-home assessment (45 minutes)
- Screening call
- Technical interview
- System design interview
You’ll hear back within 5 business days after each stage.


