Builder - Senior Software Engineer, AI
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
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
Requirements
- 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
Benefits & conditions
Pulled from the full job description Health insurance Paid time off Vision insurance Dental insurance, * 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.
About the company
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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Navigating the AI Shift
MLOps And AI Driven Development
What is Software Engineering in the Age of AI?
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production