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 _2025 Forrester Wave Report for SPM_, _2023 Ventana Research Revenue Performance Management (RPM) Value Index_, _Gartner Peer Insights_, _2024 Gartner SPM Market Guide_, and _G2. _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:
- **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.**
Join us at Varicent—where your talent and ambition meet limitless opportunities for success!
At Varicent, we're driven by the belief that great people power great companies. As our **Senior Software Developer, GenAI**, you'll contribute to building and scaling production-grade AI systems that directly impact how our customers use and experience our products.
You'll contribute to the delivery of GenAI-powered features, collaborate closely with technical leads, and play a key role in maintaining technical quality, reliability, and scalability across a core product area. This role is idóneo for a strong individual contributor who enjoys hands-on development, learning new technologies, and turning ideas into high-quality production systems.
**Overview**




- Build and improve AI-enabled product features from prototype to production. You'll work within an end-to-end engineering team that owns build quality, release readiness, and ongoing improvements.
**What You'll Do**:
- Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
- Write production-ready code and lightweight prototypes to validate ideas quickly.
- Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.
- Support proof-of-concepts and experiments by setting up test cases, reviewing results, and improving areas where quality is weak.
- Document systems and workflows so others can run, maintain, and extend what you build.
**GenAI Competencies You'll Practice**:
- Translate business problems into clear AI tasks and implement end-to-end solutions with guidance from technical leads.
- Prepare and maintain data and test cases used to measure output quality.
- Measure quality using repeatable evaluation methods, including automated checks and structured human review when required.
- Contribute to production readiness through versioning, monitoring, basic performance and cost awareness, and usage tracking.
- Follow privacy, security, and compliance requirements in collaboration with Legal and Security teams.
**How We Work**:




- We balance exploration with delivery — test ideas quickly, then productionize what works.
- "Done" means quality goals are met, followed by continuous improvement in accuracy, cost, and performance.
- The team owns systems end-to-end, including build, release, and operational reliability.
**What You Bring**:
- 4+ years of overall software engineering experience, with at least 2+ years building and shipping production systems in product teams.
- 4+ years of hands-on technical experience writing production-quality code.
- Strong software engineering fundamentals, including system design and scalable architecture.
- Proficiency in Python and/or TypeScript (or similar), building APIs, services, and data pipelines.
- Experience with cloud platforms (AWS, GCP, or Azure), CI/CD pipelines, automated testing, and observability.
- An experimentation mindset — able to define metrics, build evaluation frameworks, and iterate quickly in ambiguous problem spaces.
**Nice to Have**:
- Hands-on experience with GenAI/LLMs, including prompt engineering, retrieval/RAG, embeddings, tool or function calling, fine-tuning, or evaluation pipelines.
- Familiarity with LLMOps practices such as experiment tracking, version control for prompts or models, and cost or latency optimization.
- Experience with tools such as LangChain/LangGraph, OpenAI, Anthropic, Azure OpenAI, and vector databases like Pinecone, FAISS, or Milvus.
- Contributions to open source, technical blogs, or conference talks.
**Education**:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
**_Note:_**
- This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driv

📌 Senior Gen Ai Developer (Remote, Mexico) (Tijuana)
🏢 Varicent
📍 Tijuana