About Us
Diligent is the AI leader in governance risk and compliance (GRC) SaaS solutions helping more than 1 million users and 700000 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.
At Diligent were building the future with people who think boldly and move fast. Whether youre designing systems that leverage large language models or part of a team reimaging workflows with AI youll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge but as an opportunity. The future belongs to those who keep learning and we are building it together. At Diligent youre not just building the future - youre an agent of positive change joining a global community on a mission to make an impact.
Learn more or follow us onLinkedInandFacebook
Heresa summary of the role:
Youlluse your applied machine learning andgenerative AIskills to design and shipLLMpowered product experiences that solve real problems for real users. You turn messy documents and complex language into smart assistantsagentic solutions and search experiences that feel fast reliable and trustworthy.
In this role you work end-to-end: framing problems shaping prompts and workflows orchestrating tools and retrieval and partnering with engineers and product managers to bring modern AI into production. If you enjoy building with large language models and care deeply about evaluation safety and impactyoullfeel at home here.
Heresa breakdown of whatyoulldo (not all of it just the important stuff):
- Design prototype and refine LLMbased featuresoverlarge document sets.
- Orchestrate multistep agentic workflows andtool calling(including MCP servers and other integrations) so LLMs can take meaningful actions not just generate text.
- Define evaluation frameworks experiments and metrics so you can measure model quality relevance and safety with confidence.
- Use AWSservices (i.e.AWS Bedrock) to deliver reliable secure and scalable AI capabilities.
- Work closely withdomain expertsPMsand software engineers to turn prototypes into reliableproductionreadyservices.
- Handle complex domainspecific text (e.g. legal financial or regulatory content) with a strong focus on accuracy robustness and privacy.
- Communicate your findings clearly share best practices and stay up to date with the latest ML and AI research that can improve your solutions.
Theseare the essentialsyoullneed to get an interview:
- Hands-on experience buildingLLMpoweredapplications or features (for example RAG systems chatbots assistantsagenticsolutionsor documentcentric workflows) not just using chat interfaces.
- Strong Python skills and everyday comfort with the modern data / AI ecosystem (e.g. pandas NumPy basic ML libraries HTTP APIs and SDKs for cloud AI services).
- Practical experience withLLM powered solutiondesign evaluation and iteration: you know how to test compare approaches and choose the one that works best with real data.
- Familiarity with at least one cloud platform (ideally AWS) and building or contributing to services or pipelines that run in production.
- A degree in Computer Science Data/Applied Science Mathematics Statistics or a related technical field or equivalent practical experience.
- Clear communication skills collaborative mindset and a genuine interest in learning sharing knowledge and iterating quickly based on feedback.
It would be great if you had these to butwellsupport you if youdont:
- Experience designing and implementing agentic workflows (multistep reasoningtoolcalling planners) and/or building MCP servers or similar tool integrations.
- Hands-on experience with AWS Bedrock or comparable platforms (model selection configuration guardrails evaluation and cost/performancetrade-offs).
- Experience with semantic search vector databases and information retrieval techniques in production systems.
- Familiarity with observability and evaluation for LLM applications (e.g. logging feedback loops offline and online evaluation safety checks).
- Experience working with complex or regulated content such as legal risk compliance financial or governance documents.
#LI-Hybrid
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 programsto 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 towork 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 also consider qualified applicants regardless of criminal histories consistent with legal requirements. See alsoDiligents EEO Policy and Know Your 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 .
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.
Required Experience:
Senior IC
About UsDiligent is the AI leader in governance risk and compliance (GRC) SaaS solutions helping more than 1 million users and 700000 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 ...
About Us
Diligent is the AI leader in governance risk and compliance (GRC) SaaS solutions helping more than 1 million users and 700000 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.
At Diligent were building the future with people who think boldly and move fast. Whether youre designing systems that leverage large language models or part of a team reimaging workflows with AI youll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge but as an opportunity. The future belongs to those who keep learning and we are building it together. At Diligent youre not just building the future - youre an agent of positive change joining a global community on a mission to make an impact.
Learn more or follow us onLinkedInandFacebook
Heresa summary of the role:
Youlluse your applied machine learning andgenerative AIskills to design and shipLLMpowered product experiences that solve real problems for real users. You turn messy documents and complex language into smart assistantsagentic solutions and search experiences that feel fast reliable and trustworthy.
In this role you work end-to-end: framing problems shaping prompts and workflows orchestrating tools and retrieval and partnering with engineers and product managers to bring modern AI into production. If you enjoy building with large language models and care deeply about evaluation safety and impactyoullfeel at home here.
Heresa breakdown of whatyoulldo (not all of it just the important stuff):
- Design prototype and refine LLMbased featuresoverlarge document sets.
- Orchestrate multistep agentic workflows andtool calling(including MCP servers and other integrations) so LLMs can take meaningful actions not just generate text.
- Define evaluation frameworks experiments and metrics so you can measure model quality relevance and safety with confidence.
- Use AWSservices (i.e.AWS Bedrock) to deliver reliable secure and scalable AI capabilities.
- Work closely withdomain expertsPMsand software engineers to turn prototypes into reliableproductionreadyservices.
- Handle complex domainspecific text (e.g. legal financial or regulatory content) with a strong focus on accuracy robustness and privacy.
- Communicate your findings clearly share best practices and stay up to date with the latest ML and AI research that can improve your solutions.
Theseare the essentialsyoullneed to get an interview:
- Hands-on experience buildingLLMpoweredapplications or features (for example RAG systems chatbots assistantsagenticsolutionsor documentcentric workflows) not just using chat interfaces.
- Strong Python skills and everyday comfort with the modern data / AI ecosystem (e.g. pandas NumPy basic ML libraries HTTP APIs and SDKs for cloud AI services).
- Practical experience withLLM powered solutiondesign evaluation and iteration: you know how to test compare approaches and choose the one that works best with real data.
- Familiarity with at least one cloud platform (ideally AWS) and building or contributing to services or pipelines that run in production.
- A degree in Computer Science Data/Applied Science Mathematics Statistics or a related technical field or equivalent practical experience.
- Clear communication skills collaborative mindset and a genuine interest in learning sharing knowledge and iterating quickly based on feedback.
It would be great if you had these to butwellsupport you if youdont:
- Experience designing and implementing agentic workflows (multistep reasoningtoolcalling planners) and/or building MCP servers or similar tool integrations.
- Hands-on experience with AWS Bedrock or comparable platforms (model selection configuration guardrails evaluation and cost/performancetrade-offs).
- Experience with semantic search vector databases and information retrieval techniques in production systems.
- Familiarity with observability and evaluation for LLM applications (e.g. logging feedback loops offline and online evaluation safety checks).
- Experience working with complex or regulated content such as legal risk compliance financial or governance documents.
#LI-Hybrid
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 programsto 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 towork 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 also consider qualified applicants regardless of criminal histories consistent with legal requirements. See alsoDiligents EEO Policy and Know Your 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 .
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.
Required Experience:
Senior IC
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