At a Glance
- Tasks: Lead AI-enabled engineering initiatives and design multi-agent systems for software development.
- Company: Mark43 empowers communities with innovative technology for public safety and quality of life.
- Benefits: Flexible remote work options, collaborative culture, and opportunities for continuous learning.
- Why this job: Join a mission-driven team at the forefront of AI and software development, making a real-world impact.
- Qualifications: 5+ years in software engineering, experience with AI tools, and proficiency in Java, TypeScript, and React.
- Other info: Diversity and inclusion are core values; reasonable accommodations available for applicants.
The predicted salary is between 43200 - 72000 £ per year.
Mark43 is approved to hire in Canada, the UK, and 45 U.S. states. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.
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 therefore committed to embracing diversity of thought and experience within our team.
Our platform is already trusted by major public safety agencies across North America, and we’ve recently expanded into the UK with our first customer overseas. Now, we’re entering an exciting new chapter: Mark43 is building a next-generation AI-augmented engineering team. This is a foundational opportunity to help rethink how software is designed, developed, and delivered using intelligent agentic or related tools.
What You’ll Do
We’re looking for a Senior Software Engineer to help lead our AI-enabled engineering initiative. You’ll work at the frontier of AI and software development, experimenting with agentic workflows and shaping how AI tools are integrated into every layer of our engineering stack. This isn’t just about using AI to autocomplete code—it’s about designing and orchestrating systems of AI agents that can plan, write, review, test, and deploy software collaboratively. In essence, you’ll play a role akin to a tech lead for a team of intelligent coding agents.
- Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer)
- Write the prompts, logic, and scaffolding that guide each agent’s behavior
- Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs
- Evaluate and refine agents’ output, performance, collaboration patterns, and feedback loops
If you were on the team last week, you might have:
- Prototyped a new coding assistant workflow using open-source LLMs and internal knowledge bases
- Led an architecture discussion on agentic build pipelines or automated PR generation
- Collaborated with a cross-functional team to build a fast, AI-powered interface for internal tooling
- Helped define the evaluation framework for AI contributions—accuracy, speed, and impact
- Mentored a teammate on combining TypeScript and AI tools to accelerate UI prototyping
- Explored best practices for safely and securely integrating generative AI into a public sector codebase
What You’ll Need
We’re looking for an experienced software engineer who is eager to build smarter systems by pairing technical expertise with emerging AI tools. You don’t need to be an AI researcher—but you do need hands-on experience applying generative AI tools to real-world development workflows.
- 5+ years of professional software engineering experience
- Proficiency with at least part of our stack: Java, TypeScript + React, and MySQL
- Extensive applied experience with AI-assisted development tooling
- A strong product mindset and interest in building for real-world impact
- A bias toward experimentation, iteration, and continuous learning
- Comfort operating in ambiguity and helping define best practices in a rapidly evolving space
People Who Thrive on Our Team Also Tend to Be:
- Humble, open, and curious
- Collaborative by default
- Mission-driven
- Comfortable with uncertainty
- Growth-oriented
Mark43 is 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. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.
AI - Enabled Software Engineer employer: Mark43, Inc.
Contact Detail:
Mark43, Inc. Recruiting Team
recruiting@Mark43.com
StudySmarter Expert Advice 🤫
We think this is how you could land AI - Enabled Software Engineer
✨Tip Number 1
Familiarise yourself with the latest AI tools and frameworks relevant to software development. Since the role focuses on integrating AI into engineering workflows, showcasing your hands-on experience with tools like LangChain or LLM APIs during discussions can set you apart.
✨Tip Number 2
Engage with the community around AI-assisted development. Join forums, attend webinars, or participate in hackathons that focus on AI in software engineering. This not only enhances your knowledge but also helps you network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss real-world applications of AI in your previous projects. Be ready to explain how you've used generative AI tools to solve problems or improve processes, as this demonstrates your practical understanding and ability to apply theoretical knowledge.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you worked in cross-functional teams. Since the role involves mentoring and collaboration, emphasising your ability to work well with others will resonate with the team-oriented culture at Mark43.
We think you need these skills to ace AI - Enabled Software Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI-Enabled Software Engineer position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of software engineering experience and any specific projects where you've applied generative AI tools. Be specific about the technologies you've used, such as Java, TypeScript, or AI-assisted development tooling.
Showcase Your Problem-Solving Skills: Mark43 values a growth-oriented mindset. Use your application to demonstrate how you've tackled challenges in previous roles, especially in ambiguous situations. Provide examples of how you've iterated on solutions and learned from feedback.
Express Your Passion for Public Good: Since Mark43 is mission-driven, convey your enthusiasm for building technology that serves the public good. Share any relevant experiences or motivations that align with their mission to improve community safety and quality of life.
How to prepare for a job interview at Mark43, Inc.
✨Showcase Your AI Knowledge
Make sure to highlight your experience with AI-assisted development tools during the interview. Discuss specific projects where you've applied generative AI in real-world scenarios, as this aligns closely with the role's requirements.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Emphasise your ability to share knowledge and work towards common goals.
✨Embrace a Growth Mindset
Express your willingness to learn and adapt, especially in a rapidly evolving field like AI. Share instances where you've embraced feedback or learned from setbacks, showcasing your commitment to continuous improvement.
✨Prepare for Technical Discussions
Expect to engage in technical discussions about multi-agent systems and coding workflows. Brush up on relevant technologies like Java, TypeScript, and agentic frameworks, and be ready to discuss your thought process and design choices.