Senior Software Engineer - Enterprise AI

About the role

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are committed to embracing diversity of thought and experience within our team.

Responsibilities

• Built and deployed a reusable AI-powered service or integration that enabled a business team to automate a critical workflow
• Designed and implemented connectors between AI systems and internal or third-party platforms such as Salesforce or Workday
• Partnered with stakeholders to identify a high-impact opportunity and translated it into a scalable internal tool or workflow
• Improved reliability and performance of an existing AI-enabled system by debugging across APIs, services, and infrastructure
• Evaluated new AI tools or frameworks and contributed to decisions on how they can be securely adopted at scale
• Partnered with InfoSec to ensure systems meet security, compliance, and governance standards
• Led a working session or demo to help teams understand and adopt new AI-enabled capabilities
• Built reusable components, services, or patterns that make it easier for other teams to leverage AI

Requirements

• Strong hands-on experience building and shipping production systems using modern programming languages and frameworks
• Experience working with AI technologies such as LLMs and an understanding of how to integrate them into applications and workflows
• Strong experience with REST APIs, microservices, and system integrations
• Experience building internal tools, platforms, or shared services used by multiple teams
• Familiarity with authentication and security patterns such as OAuth, JWT, and IAM
• Ability to debug across full-stack systems including services, APIs, workflows, and cloud infrastructure
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders

Qualifications

• 5+ years of experience in software engineering or related technical roles
• Curious and pragmatic engineers who enjoy solving ambiguous problems and building systems that others rely on
• Collaborative and business-minded, with the ability to understand workflows and translate them into scalable technical solutions
• Ownership-driven, with a focus on delivering measurable impact and enabling others through their work
• Thoughtful about security, scalability, and long-term maintainability

Skills

• Experience with AI technologies such as LLMs and an understanding of how to integrate them into applications and workflows
• Experience with REST APIs, microservices, and system integrations
• Experience building internal tools, platforms, or shared services used by multiple teams
• Familiarity with authentication and security patterns such as OAuth, JWT, and IAM
• Ability to debug across full-stack systems including services, APIs, workflows, and cloud infrastructure

Benefits

Hybrid in Boston, MA (2 days per week in-office)

Pay

Competitive salary and benefits package

Schedule

Hybrid schedule of two days per week in the office

Nice to have

• Experience building AI-powered applications using tools such as OpenAI, Claude, or similar platforms
• Experience with enterprise automation or integration platforms
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with data governance, security, and compliance in enterprise environments

Equal Opportunity Employer

We are committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.