AI Engineer

Summary

Joint Strategic Technologies is seeking an AI Engineer to help build a new AI-powered product from the ground up. The role involves developing full-stack product capabilities across cloud infrastructure, application services, data workflows, user interfaces, and operational tooling, while designing dependable agentic systems and supporting products through deployment and operation.

Responsibilities

• Use advanced AI coding and engineering harnesses to turn product requirements, prototypes, and technical designs into tested production software
• Build complete product capabilities across cloud infrastructure, backend services, APIs, data pipelines, web applications, and user-facing experiences
• Design agentic systems that can plan work, use tools, coordinate workflows, retain appropriate context, and automate repeatable product and operational tasks
• Implement the controls that make AI systems dependable, including human approval points, permissions, evaluations, observability, failure handling, and cost and latency measurement
• Work with product leaders and domain experts to understand real workflows, identify the smallest useful release, and refine the product from user feedback
• Own vertical slices of the product from design through deployment and support, with guidance and review from the Head of AI Engineering
• Evaluate models, prompting approaches, retrieval patterns, and tool-use designs against practical measures of quality, safety, speed, and cost
• Write clear tests, technical documentation, runbooks, and support notes so that the product can be operated and improved by the broader team
• Investigate software issues, improve reliability, and turn recurring support needs into better product behavior or safe automation

Skills

• A recently completed or soon-to-be-completed master's or doctoral degree in computer science, artificial intelligence, machine learning, software engineering, data science, robotics, human-computer interaction, or a closely related technical field
• Strong programming fundamentals and practical experience in at least one modern language
• A working understanding of APIs, databases, version control, testing, debugging, and the core concepts behind cloud or distributed applications
• Evidence that you can take an ambiguous problem, break it into manageable steps, and finish a working project. Academic, research, startup, open-source, and professional projects all count
• Clear written and verbal communication, intellectual curiosity, and comfort asking questions when requirements or evidence are incomplete
• Good product judgment: you consider the user's workflow, usability, reliability, and support needs alongside the technical implementation
• Python, TypeScript, or JavaScript experience is especially relevant
• Two to three years of relevant industry experience
• Candidates with less experience and an unusually strong record of building and shipping will be considered
• Exposure to product development through an engineering, research, design, startup, internship, co-op, or customer-facing project
• Hands-on work with large language models, retrieval-augmented generation, agent frameworks, tool calling, AI evaluations, or AI-assisted software-development workflows
• Experience with a major cloud platform, infrastructure as code, serverless systems, containers, CI/CD, or production monitoring
• Experience building modern web interfaces or collaborating on UX, design systems, accessibility, and user research
• Interest in privacy, security, responsible AI, and the demands of enterprise or government software

Qualifications

Must Haves

• A recently completed or soon-to-be-completed master's or doctoral degree in computer science, artificial intelligence, machine learning, software engineering, data science, robotics, human-computer interaction, or a closely related technical field
• Strong programming fundamentals and practical experience in at least one modern language
• A working understanding of APIs, databases, version control, testing, debugging, and the core concepts behind cloud or distributed applications
• Evidence that you can take an ambiguous problem, break it into manageable steps, and finish a working project. Academic, research, startup, open-source, and professional projects all count
• Clear written and verbal communication, intellectual curiosity, and comfort asking questions when requirements or evidence are incomplete
• Good product judgment: you consider the user's workflow, usability, reliability, and support needs alongside the technical implementation

Nice to Haves

• Python, TypeScript, or JavaScript experience is especially relevant
• Two to three years of relevant industry experience
• candidates with less experience and an unusually strong record of building and shipping will be considered
• Exposure to product development through an engineering, research, design, startup, internship, co-op, or customer-facing project
• Hands-on work with large language models, retrieval-augmented generation, agent frameworks, tool calling, AI evaluations, or AI-assisted software-development workflows
• Experience with a major cloud platform, infrastructure as code, serverless systems, containers, CI/CD, or production monitoring
• Experience building modern web interfaces or collaborating on UX, design systems, accessibility, and user research
• Interest in privacy, security, responsible AI, and the demands of enterprise or government software

Benefits

• Full-time remote, project-based position