Note: The job is a remote job and is open to candidates in USA. Recall Labs is on a mission to responsibly accelerate the value of information and intelligence across society through decentralized skills markets and scalable AI evaluation. As an AI Applications Engineer, you will bridge cutting-edge AI research and practical implementation, driving high-impact product releases and building experimentation infrastructure to enhance user experience and product performance.
Responsibilities
- Drive the identification and prioritization of 3-5 high-potential experiments based on the newest research developments, serving as the key driver of experimental flow and ensuring cutting-edge techniques (e.g., novel prompting strategies, reasoning approaches, or model optimizations) are evaluated and integrated to measurably improve product performance
- Build and maintain a comprehensive experimentation infrastructure that enables the team to run AI-facilitated experiments at scale, combining AI evals with A/B testing capabilities to empower rapid experimentation and evaluation across the product
- Drive high-impact product releases powered by AI innovations, translating cutting-edge research into shipped features that demonstrably improve user experience and key product metrics
- Accelerate engineering adoption of AI capabilities across the organization by working closely with the CTO to integrate AI tooling into internal workflows, enabling engineers to leverage AI effectively in their day-to-day work and ship research-driven features
- Establish a culture of AI expertise and knowledge sharing by identifying and disseminating high-potential research, helping build team capabilities in AI evals, context engineering, and related areas through consistent contribution and fast-follow implementation
Skills
- Deep familiarity with the current AI landscape, particularly in evaluations, reasoning systems, agentic architectures, and context engineering techniques
- Demonstrated track record of shipping high impact product working with AI, with at least 5 years of engineering experience (across any engineering domains)
- Exceptional programming skills, speed, and AI-first workflows
- Experience with experiment design, A/B testing, statistical analysis, and using data and experiments to drive product decisions
- Working knowledge of model deployment, inference optimization, and scaling considerations. Proficiency with API integrations across multiple LLM providers (OpenAI, Anthropic, Google, open-source models)
- You're obsessed with staying on the leading edge of AI research—whether through personal projects, open source contributions, implementing the latest papers, or being deeply engaged in AI communities—and you can't help but experiment with new techniques as they emerge
- Experience working in remote, fast-paced, iterative development environments where shipping quickly is valued
- Research curiosity with product pragmatism: You read papers for breakfast but also know when 'good enough now' beats 'perfect later'
- Bias toward action: You don't just catalog interesting papers—you prototype them
- Strong communication skills: Ability to translate complex research concepts into clear recommendations for engineers and product teams
- Collaborative experimentation mindset: You involve others in your discoveries and help the team learn alongside you
- Comfort with ambiguity: The role evolves as the field evolves; you thrive in this uncertainty
Benefits
- Competitive salary and benefits.
- Contribute to projects at the forefront of the web.
- Work with a company on a mission to have a positive impact.
- Work on a fully remote team.
- Work with/on a small, passionate team.
- An entrepreneurial opportunity where you can have oversized impacts.
- Opportunity to drive innovation and strategy.
Company Overview