Full-Stack Engineer (PhD Required

Full-Stack Engineer

Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients — at the economics of software, not labor.

At the core is Accrete's Knowledge Engine, a dynamic context graph that captures an organization's tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions — not just answer questions about them.

From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement.

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team. The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. This role will focus on developing scalable AI infrastructure, optimizing deep learning pipelines, and deploying robust machine learning solutions in production environments.

• Design, develop, and optimize scalable AI and machine learning infrastructure.
• Build and maintain high-performance, distributed systems for AI model training and inference.
• Develop and implement novel algorithms to improve AI model efficiency and accuracy.
• Work closely with data scientists and machine learning engineers to integrate cutting-edge AI research into production environments.
• Ensure reliability, security, and performance of AI-driven applications.
• Collaborate with cross-functional teams to align AI solutions with business needs.
• Stay up to date with the latest advancements in AI and software engineering.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python, C++, or Java.
• Experience with machine learning frameworks such as Tensor Flow, PyTorch, or JAX.
• Proficiency in distributed computing and experience with cloud platforms (AWS, GCP, Azure).
• Deep understanding of deep learning architectures, model optimization, and neural network deployment.
• Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
• Knowledge of data pipelines, ETL workflows, and large-scale data processing.
• Strong problem-solving skills, analytical thinking, and ability to work in a fast-paced environment.

Salary Range: 170k-210k

The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.

You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities.

You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes.

You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new…