Builder - Senior Software Engineer, AI

Reevo, Inc.

Santa Clara, Northern (CA, KY)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Bonus
Equity
Health benefits
Paid time off
Professional growth

Job summary

Reevo, Inc. seeks experienced AI-focused Software Engineers to build intelligent systems powering production AI features. You’ll design RAG retrieval, evaluation platforms, and AI safety measures to improve user experiences across products.

You’ll collaborate with engineering, product, and data teams to deploy AI capabilities, optimize performance, and deliver reliable applications with strong software foundations.

Qualifications

  • 5+ years of software engineering experience with AI/ML focus.
  • Expertise in large language models and RAG systems.
  • Experience deploying production AI applications from experimentation to deployment.
  • Familiarity with AI safety practices.

Responsibilities

  • Design and implement retrieval augmented generation (RAG) systems for contextual AI responses.
  • Build evaluation platforms to measure AI performance and quality.
  • Develop novel interaction patterns for large language model integrations.
  • Build data collection and labeling pipelines for AI models.
  • Collaborate across teams to identify opportunities where AI can create meaningful user value.
  • Create reusable AI infrastructure and platforms for rapid AI feature development.
  • Implement AI safety measures, monitoring, and QA systems.
  • Present AI capabilities to internal teams and gather feedback.
  • Stay current with latest AI/ML research and incorporate advances into products.

Skills

AI/ML systems
LLMs
RAG
MLOps
Model deployment
Prompt engineering
Vector databases
Embedding systems
Semantic search
AI safety
Communication

Tools

ML frameworks
Model deployment tools
AI monitoring tools

Job description

About Us:

At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go-to-market motion, enabling B2B teams to operate faster, smarter, and more collaboratively. By combining automation, intelligence, and a radically intuitive interface, we're helping companies unlock new levels of productivity and growth across marketing, sales, ops, and customer success teams.

If you're excited about working on a product that reshapes how revenue teams work and being surrounded by curious, driven teammates, you'll feel right at home here. From day one, you'll get real ownership, real mentorship, and real impact. Our team of 50+ builders has 30 exits under their belt, so you'll be in good company, and working alongside the best!

About the Role:

Our team is looking for experienced AI-focused Software Engineers who are passionate about building intelligent systems that solve real user problems. The ideal candidate brings deep technical expertise in AI/LLM systems and strong software engineering fundamentals, with experience developing production-ready AI applications from experimentation to deployment. In this role, you’ll collaborate with engineering, product, and data teams to design and implement AI-powered features and systems. You’ll apply your AI expertise and practical engineering skills to build reliable applications, improve system performance, and deliver intuitive user experiences that directly impact our users.

What You’ll Do:
  • Design and implement retrieval augmented generation (RAG) systems for contextual AI responses
  • Build evaluation platforms and frameworks to measure AI system performance and quality
  • Develop novel interaction patterns and user experiences for large language model integrations
  • Build systems for data collection, labeling, and continuous improvement of AI models
  • Collaborate closely across teams to identify opportunities where AI can create meaningful user value
  • Build reusable AI infrastructure and platforms that enable rapid AI feature development
  • Implement AI safety measures, monitoring, and quality assurance systems
  • Present AI capabilities and demos to internal teams and gather feedback
  • Stay current with latest AI/ML research and incorporate relevant advances into products
What You Bring:
  • 5+ years of software engineering experience, with significant focus on building AI/ML systems
  • Strong expertise in large language models, RAG systems, and modern AI frameworks
  • Experience with ML operations, model deployment, and AI system monitoring
  • Proven experience building production AI applications, from experimentation to deployment
  • Deep understanding of prompt engineering, fine-tuning, and AI evaluation methodologies
  • Proficiency in analyzing AI system performance and implementing improvements
  • Experience with vector databases, embedding systems, and semantic search
  • Knowledge of AI safety practices and responsible AI development
  • Strong communication skills, with the ability to explain AI concepts to technical and non-technical stakeholders
What we offer:
  • Compensation: A highly competitive base salary and bonus structure, and early-stage equity that aligns your success directly with the company's growth.
  • Comprehensive benefits: health, dental, and vision coverage, generous paid time off (PTO), plus additional benefits that support how you work.
  • Growth and development: Career advancement paths, dedicated mentorship opportunities, and a strong commitment to investing in your continuous professional development and skill enhancement.
  • Dynamic culture: Join a collaborative, innovative, and fast-paced work environment where your direct contributions have a tangible and immediate impact on the product, the sales strategy, and the overall company trajectory.

Here at Reevo, we know the best ideas come from people with different experiences and perspectives. We welcome candidates from all backgrounds and are proud to be an equal opportunity employer. We do not discriminate based on any protected characteristic, and we’re happy to provide accommodations throughout the application process.

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