Conviva
AI

Senior LLM Engineer

Conviva · Foster City, CA

Actively hiring Posted 5 months ago

Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.
As a Senior LLM & ML Engineer, you will play a pivotal role in transforming Conviva into an AI-native product company. You will design and implement production-ready AI systems that integrate Large Language Model capabilities across our platform, working across the full spectrum of ML and LLM technologies, from model deployment and optimization to advanced AI agent systems. Your work will enable intelligent features that enhance our analytics and customer experience solutions while contributing to the strategic direction of our AI initiatives and building cutting-edge solutions at scale.

What Success Will Look Like

  • Design, build, and maintain LLM/ML systems that power AI-driven features across a large-scale data analytics platform.
  • Develop and optimize LLM Agents for specific business use cases, focusing on performance, accuracy, and cost efficiency.
  • Build scalable technical infrastructure for growing AI systems, including model training, deployment, and monitoring pipelines.
  • Apply ML and AI techniques to big-data and observability problems unique to digital experience analytics.
  • Collaborate with cross-functional teams to align LLM outputs and behaviors with product requirements.
  • Contribute to and promote software engineering best practices across AI initiatives.
  • Promote a positive culture within the team, encourage code quality, drive initiatives, and ensure flawless execution.

Who You Are & What You've Done

  • Master's or PhD in Computer Science, Mathematics, or a related field with a strong foundation in CS and algorithms.
  • Solid knowledge of Machine Learning fundamentals, probability and statistics, algorithm and data structure.
  • Strong programming skills in Python, JavaScript/TypeScript, or similar languages.
  • 3+ years of hands-on experience designing, building, and deploying machine learning models and pipelines with high scalability and performance.
  • Experience with LLM agent techniques and AI system integration.
  • Proven track record of delivering statistical models and ML algorithms with measurable business impact.
  • Passion and enthusiasm for machine learning technologies and building cutting edge solutions.
  • Strong cross-functional collaboration skills with a bias toward proactive problem-solving.

Bonus Points

  • Experience with conversational AI and agent-based systems, MCP or A2A.
  • Solid understanding of Natural Language Processing techniques and LLM/ML/Reinforcement Learning methodologies
  • Proficiency with ML frameworks such as PyTorch, TensorFlow, and MLOps tools
  • Background in model fine-tuning, alignment, and optimization techniques
  • Open-source contributions to ML/AI projects
  • Experience with big data frameworks (e.g., Spark, Flink, Ray) and distributed systems
  • This position will be based in our Foster City, CA office.

The expected salary range for this full-time position is $190,000 - $220
,000 + equity + benefits. The actual level and compensation are determined by several factors, such as your qualifications, professional background, and relevant experience.
**To learn more about how Conviva can help improve the performance and outcomes of your digital services, visit www.conviva.com

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Machine Learning Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.