9 days ago
Remote, United StatesMid Level
Base Salary
$115k - $130k/yr
Responsibilities
- Build and maintain internal full-stack products for designing, developing, testing, evaluating, deploying, and operating AI agents and AI-enabled features.
- Develop backend services, APIs, SDKs, workflows, and integrations connecting models, tools, enterprise data, and product systems.
- Create reusable capabilities for agent orchestration, prompt and context management, tool use, human review, and workflow automation.
- Develop evaluation, observability, debugging, and quality-control systems that improve AI reliability.
- Design secure data-access, tool-invocation, permission-management, and AI safety patterns.
- Partner with infrastructure and application engineering teams to translate needs into durable platform capabilities.
- Improve developer experience through abstractions, documentation, examples, templates, and paved paths.
- Write maintainable, tested code and participate in design reviews, code reviews, debugging, releases, and production support.
- Own ambiguous problems, make practical tradeoffs, and drive work from discovery through production adoption.
Requirements
- At least 2 years of professional software engineering experience.
- Strong production experience with Python.
- Experience building full-stack applications, backend services, APIs, developer tools, or platform products.
- Experience integrating complex systems and designing maintainable service boundaries and APIs.
- Experience with data-intensive applications, data pipelines, analytics workflows, or operational data systems.
- Interest in or hands-on experience with LLMs, AI agents, model APIs, retrieval systems, workflow automation, or other applied AI technologies.
- Strong software engineering fundamentals, including testing, version control, code review, debugging, security, observability, and maintainable system design.
- Ability to work across multiple technical layers and learn unfamiliar technologies quickly.
- Evidence of self-motivated work, ownership, progress in ambiguous situations, and clear communication in distributed engineering environments.
- Experience building and operating software on cloud platforms.
Benefits
- Medical, dental, vision, 401(k), wellness benefits, and additional comprehensive benefits.
- US-based position with a preference for candidates in Maine; remote and hybrid work indicators are included in the posting.
- Applicants must be authorized to work for any US employer without current or future employer-sponsored visa sponsorship.
Tech Stack
Categories
