Staff Gen AI Developer

At Varicent, we’re not just transforming the Sales Performance Management (SPM) market—we’re redefining how organizations achieve revenue success. Our cutting-edge SaaS solutions empower revenue leaders globally to design smarter go-to-market strategies, maximize seller performance, and unlock untapped potential. Varicent stands at the forefront of innovation, celebrated as a market leader in the

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2025 Forrester Wave Report for SPM

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2023 Ventana Research Revenue Performance Management (RPM) Value Index

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Gartner Peer Insights

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2024 Gartner SPM Market Guide

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, and

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G2.

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Our solutions are trusted by a diverse range of global industry leaders like T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker and hundreds more. Here’s why you’ll thrive at Varicent:

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• Innovate with Purpose: Build impactful solutions for customers worldwide.
• Join Excellence: Work in a diverse, collaborative, and innovative team.
• Shape the Future: Lead in redefining revenue optimization.
• Grow Together: Unlock your potential in a supportive environment.

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Join us at Varicent—where your talent and ambition meet limitless opportunities for success!

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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.

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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.

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🔧What you’ll do

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• 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.

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🎯GenAI expectations

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• 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

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✅Required skills & knowledge

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• 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.

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🧩 Nice to Have

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• 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).

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🔨 How we work

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• 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).

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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.

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This posting is for a new vacancy.

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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.

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Overview of Benefits:

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

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

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

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

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• Financial — Compensation that reflects your market and your value

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

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

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Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email [email protected]

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Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our

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Job Applicant Privacy Notice

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and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact