Builder - Senior Software Engineer, AI

3 нед. назад

USASenior

aillmsoftware engineering

Senior AI-focused Software Engineer building production-ready AI applications and collaborating with teams to design AI-powered features.

At , 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!

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.

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

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 , 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.

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