Senior Software Engineer, AI Automation
- Source: LinkedIn
- TalentHop
- Remote
- United States
- Full-Time
- Senior
Job Description
This is a Fully Remote Job
About Our Client:
The organization operates in the cybersecurity and insurance industry, focusing on preventing digital risk before it occurs. Established in 2017, it combines comprehensive insurance coverage with innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
About the Opportunity:
The SENIOR SOFTWARE ENGINEER, AI AUTOMATION leads the design and delivery of production-grade AI agents and workflows that address significant business challenges. This senior individual-contributor role involves transforming ambiguous problems into durable technical solutions, collaborating across teams to develop scalable AI automation that enhances operational efficiency.
Responsibilities:
- Lead design and delivery of AI agents, reusable skills, and automation workflows for internal teams.
- Translate complex business processes and edge cases into reliable, maintainable software.
- Design and evolve integrations between AI agents and systems of record.
- Define architecture, interfaces, data contracts, and operational standards for AI systems.
- Establish evaluation strategies and quality baselines to guide deployment decisions.
- Build systems with controls for permissions, auditability, human review, failure containment, and rollback.
- Collaborate with data engineering and business stakeholders to ensure trustworthy data and sustainable ownership.
- Drive technical decisions and identify reusable patterns to elevate team engineering standards.
- Mentor engineers and technical partners in AI engineering practices.
- Document systems, decisions, and operating procedures for maintainability and safety.
Requirements:
- Over 7 years of software engineering experience, including recent work on LLM-backed applications.
- Proven ability to move AI agents or multi-step automation workflows from prototype to production.
- Strong Python skills and practical SQL experience with production data models.
- Deep knowledge of prompting, tool use, agentic loops, structured outputs, workflows, error handling, and deployment.
- Experience integrating with business-critical systems of record.
- Sound judgment regarding evaluation, reliability, safety controls, and AI deployment tradeoffs.
- Solid production engineering fundamentals including Git, CI/CD, containers, monitoring, testing, permissions, and rollback.
- Ability to lead technical work in ambiguous settings and communicate effectively with technical and non-technical partners.
Pay Range and Compensation Package:
- The US base salary ranges from $130,000 to $195,000 per year depending on geographic market and candidate qualifications.
Benefits & Perks:
- 100% medical, dental, and vision coverage
- 401(k) retirement plan with competitive employer match
- Flexible paid time off
- Up to 14 weeks paid leave for birthing parents and 8 weeks paid leave for non-birthing parents
- Annual home office stipend and WeWork access
- Mental and physical wellness programs including One Medical, Headspace, and Wellhub
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.
Skills
- Python
- headspace
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