Here’s a summary of the role:
You’ll be a Senior Software Engineer helping shape how AI is built, deployed, and scaled across Diligent’s platform. Working at the intersection of Applied Science, Product, and Engineering, you’ll turn machine learning and LLM-based ideas into secure, reliable, production-ready services that accelerate AI adoption across Diligent’s product suite.
This role is about combining strong software engineering fundamentals with practical AI delivery. You’ll design and build scalable platform services, develop shared libraries and frameworks, improve evaluation and testing practices, and help teams embed AI responsibly into customer-facing products. You’ll work on systems that handle sensitive customer content, so privacy, security, observability, and governance need to be built in from day one.
If you enjoy solving hard platform problems, writing high quality code in Python and TypeScript, partnering closely with Applied Scientists and Product teams, and using AI as a practical tool to deliver meaningful value, this role is for you.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform.
- Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring.
- Collaborate with Applied Scientists, Product teams, and other Software Engineers to implement and productize AI-based capabilities.
- Continuously raise the bar by evaluating and piloting new tools (including latest AI tooling) to improve performance, cost efficiency, and developer productivity.
- Shape and evolve AI platform infrastructure by applying established organisational patterns and improving them where needed.
- Design and develop reusable AI libraries, frameworks, and internal tooling that accelerate delivery across multiple teams.
- Stay ahead of AI and platform trends, adapting designs and practices so your systems remain robust, compliant, and future‑proof.
These are the essentials you’ll need to get an interview:
- 5+ years of experience delivering secure, scalable applications in agile environments.
- Strong ability to write highly readable, maintainable, and well-tested code, with a solid grounding in software design principles.
- Strong hands-on skills in Python and Node.js/TypeScript on a major cloud platform (preferably AWS), including serverless or microservice patterns, infrastructure as code (CDK/Terraform), CI/CD, containerization, and observability tooling.
- Experience building and operating backend services or microservices in a major cloud environment, preferably AWS.
- Good understanding of the full lifecycle of AI-based solutions, from experimentation and implementation through deployment, monitoring, and iteration.
- Practical experience working with LLM-based systems or adjacent AI technologies.
- Ability to collaborate effectively across disciplines and help translate applied science work into robust product capabilities.
- Habit of integrating security best practices (IAM, secrets management, privacy controls) into everything you build — including AI components.
- Excellent communication and leadership skills: you explain complex technical and AI topics clearly to different audiences.
It would be great if you had these to, but we’ll support you if you don’t:
- Hands-on experience with AWS CDK.
- Hands-on experience with LLM-related techniques such as prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions, or MCP servers.
- Experience developing AI evaluation, observability, or governance mechanisms for production systems.
- Experience shaping shared platform capabilities or reusable engineering patterns across multiple teams.
- Experience improving performance, reliability, or cost efficiency for cloud-based AI or data-intensive services.
- Interest or experience in mentoring peers, raising engineering standards, and helping teams adopt better ways of working.
#LIHybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
At Diligent, we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
