ABOUT HIGH POTENTIALS

High Potentials pursues the mission of understanding the universe within the human organism.

We combine artificial intelligence, biology, medicine, and high-performance computing to precisely decode the foundations of life. Our goal is to understand how aging, disease, and biological limitations emerge — and what is required to overcome them.

We aim to support humanity on its path toward radical longevity. Our long-term vision is to view immortality not as a myth, but as a scientific challenge that can be understood, researched, and ultimately made technologically possible.

Our team is small, highly motivated, and focused on scientific and engineering excellence. High Potentials is built for people who ask big questions, seek demanding challenges, and are driven by curiosity, discipline, and long-term thinking.

We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to our mission. Leadership is earned by those who show initiative, take responsibility, and consistently deliver excellence.

A strong work ethic, clear priorities, and precise communication are essential to us. Knowledge should be shared concisely, clearly, and reliably, enabling every team member to contribute directly to the progress of our mission.

ABOUT THE ROLE:

The AI Solutions Engineering Team at HighPotential is a team of builders solving some of the most complex challenges in talent, hiring, and business transformation: connecting fragmented systems, orchestrating intelligent workflows, and using AI to help companies identify, assess, and engage exceptional talent more effectively.

We build full-stack, AI-powered solutions with ownership across the entire product lifecycle — from ideation and design to deployment and continuous improvement. Working closely with clients, candidates, and internal teams, we integrate the latest advancements in AI into reliable, scalable, and user-centric products.

Through an iterative development process, we gather real-world feedback, refine features, and evolve our platform to solve practical business challenges for high-growth companies, executive teams, and the next generation of high-potential talent.

BASIC QUALIFICATIONS:

• Expert knowledge of at least one modern backend programming language, such as Rust, C++, Go, Python, or TypeScript.

• Experience designing, implementing, and maintaining reliable, secure, and horizontally scalable distributed systems.

• Strong understanding of service observability, system reliability, monitoring, logging, alerting, and performance optimization best practices.

• Experience operating commonly used databases and data infrastructure, such as PostgreSQL, ClickHouse, Redis, Elasticsearch, or other scalable data systems.

• Ability to build and maintain AI-powered workflows, integrations, and backend services that support real-world business, talent, and client-facing use cases.

• Experience working with APIs, automation pipelines, third-party integrations, and production-grade cloud infrastructure.

• A strong engineering mindset with a focus on reliability, speed, security, and user-centered product execution.

PREFERRED SKILLS AND EXPERIENCE:

• Expert knowledge of Python, with experience building scalable backend services, AI workflows, automation systems, or data-driven applications.

• Strong experience with Docker, Kubernetes, and containerized application deployment in production environments.

• Expert knowledge of TypeScript, with the ability to build reliable full-stack or frontend-facing product experiences.

• Deep understanding of gRPC, including unary calls, response streaming, bi-directional streaming, and REST mapping.

• Hands-on experience with LLM APIs, embeddings, retrieval-augmented generation, agentic workflows, or AI-powered search and recommendation systems.

• Proven track record of delivering user-facing software at scale, with a strong focus on reliability, performance, security, and user experience.

• Ability to translate complex business, talent, and client needs into robust AI-powered product features and production-ready technical solutions.