Staff Gen AI Developer

We’re building production GenAI features and looking for a Staff Software Engineer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.

Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.

• →Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
• →Build and maintain reliable services and workflows that support AI features in production.
• →Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
• →Run structured experiments, interpret results, and translate learnings into product improvements.
• →Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
• →Mentor teammates through design feedback, code reviews, and practical guidance.

• Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
• Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
• Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed

• 6+ years in software engineering.
• 3+ years building and shipping production software in product teams.
• Bachelor’s in computer science, Engineering, or related field.
• Strong software engineering fundamentals and system design.
• Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
• Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
• Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.

• GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
• LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
• Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
• External contributions (open source, blogs, talks).

• We balance exploration with delivery: test ideas quickly, then productionize what works.
• “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
• The team owns systems end-to-end (build, release, reliability).

For this role, the estimated annual base salary range is between $990,600.00 - $1,300,000.00 (MXN). In addition to base salary, our compensation package may include bonuses, commissions for eligible sales roles, and a comprehensive benefits package. The actual base salary will vary based on factors including individual qualifications and market data, as objectively assessed during the interview process. 

This posting is for a new vacancy. 

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement — not replace — human decision-making. 

Overview of Benefits: 

• Health & Wellness — Comprehensive medical, dental, and vision coverage, tailored to your local needs  

• Time Off — PTO and public holidays to rest, recharge, and do what matters most  

• Volunteer Days — Dedicated time to give back and support the communities that matter to you 

• Ignite Days — Dedicated learning days to support continuous growth, skill development, and professional learning 

• Financial — Compensation that reflects your market and your value  

• Tuition Assistance — Invest in your growth with support for continuing education and professional development  

• Flexibility — Work where you thrive — remote and hybrid options available across most regions