Staff Software Engineer, Applied AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop robust, scalable, and thoroughly tested systems. Take the lead on architectural decisions for your squad and contribute directly to the codebase.

• Convert ambitious product objectives into clearly defined technical roadmaps. Collaborate with Product and Design teams to identify capacity and technical limitations, guiding sequencing and prioritization.

• Act as a technical multiplier for your team. Enhance the skills of those around you through hands-on mentoring, comprehensive code reviews, and knowledge sharing.

• Assess and implement AI capabilities (RAG, agentic workflows, prompt engineering) where they provide real value to the product, making deliberate engineering choices rather than defaulting to them.

• Set engineering best practices and evaluation frameworks for accuracy-critical features, ensuring our LLM-supported systems are reliable and deterministic.

⛳️ Requirements

• Over 10 years of experience in software engineering, including roles as both an individual contributor and a technical leader or mentor.

• Proven experience in building and deploying applications utilizing LLMs (either in a production environment or as a well-developed personal project), with an understanding of RAG, prompt engineering, or agentic frameworks.

• Regularly utilize AI tools (for code generation, debugging, documentation, or research) to enhance your own productivity, and eager to extend that expertise to the wider team.

• Strong proficiency in SQL and NoSQL databases, including Postgres, Cassandra, Elasticsearch, and/or graph databases.

• Proficient in TypeScript and backend web development, particularly REST APIs.

• Experience in deploying and managing software in cloud environments, such as GCP, AWS, or Azure.

• A solid record of conducting thorough code reviews and maintaining disciplined testing practices.

• Familiarity with Graph databases and optimizing queries for large-scale data management.

• Experience working across both front-end and back-end codebases.

• Knowledge of container orchestration utilizing Kubernetes.

• Interest in data visualization and effectively presenting large, complex datasets.

• Exposure to batch processing frameworks like Spark.

🏝️ Benefits

• 100% fully covered medical, vision, and dental insurance for employees and their dependents.

• Generous paid time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), and offer 18 PTO days along with 10 sick days.

• Competitive compensation package; attractive commissions for revenue-generating roles and bonuses for non-revenue positions.

• A strong commitment to diversity, equity, and inclusion.

• Eligibility for additional benefits including a 401k match up to 5%, fully paid life insurance (up to $100,000 coverage), and parental leave.

• A collaborative and positive work culture - your colleagues will be as intelligent and driven as you are.

• Unlimited opportunities for growth and learning.