Coalition, Inc.
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Senior Software Engineer, AI Platform & Agents
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About us
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.
About the role
We are hiring a Senior Software Engineer to lead the development of our internal AI platform and orchestration components, helping us accelerate the deployment of intelligent Agents and RAG pipelines across the organization. You will own the core infrastructure and SDKs that bridge the gap between raw LLM capabilities and production-grade applications, turning complex AI research and data into seamless, scalable tools for our engineering teams. Your work will directly enable us to automate sophisticated workflows and deliver smarter, AI-driven products to our users.
You’ll be a key architect and builder of our internal AI platform, designing components that power various AI Agents and Retrieval-Augmented Generation (RAG) pipelines. You prioritize ensuring that complex logic branches and AI workflows are well-understood, tested, and focused on engineering excellence. You will build APIs and services that are highly intuitive to consume, ensuring our internal teams can seamlessly integrate AI capabilities into their workflows.
Responsibilities
- AI Platform Engineering: Build and maintain the core infrastructure, services, and SDKs that empower the rest of the company to leverage LLMs and Agentic workflows.
- Scientific Collaboration: Partner closely with Applied Scientists and Data Scientists to translate experimental models and research into scalable, production-grade AI services.
- Data Strategy: Work with Data Engineers to design robust data pipelines that feed into RAG systems, ensuring high-quality, real-time data retrieval for AI context.
- Internal Onboarding: Act as a technical consultant and facilitator for other engineering teams, helping them successfully onboard their specific AI use cases onto the platform.
- Design & Document: Design, document, and deploy public AI interfaces that provide an exceptional developer experience for internal users.
- Operational Excellence: Collaborate with Site Reliability Engineers (SRE) to deliver AI applications in a repeatable, stable, and highly efficient software development lifecycle.
- Quality Engineering: Develop comprehensive test cases for AI models and workflows, working with QE to ensure deterministic and reliable outcomes in a non-deterministic AI landscape.
Skills and Qualifications
- Core Development: Expert-level API and service development in Python (required) and/or Go. Experience with SQL, database management
- AI Architecture: Hands-on experience building RAG pipelines, managing vector databases, and orchestrating multi-agent systems.
- Cross-Functional Fluency: Proven ability to communicate technical requirements effectively across Data Science, Data Engineering, and Product domains.
- Cloud Native Principles: Deep understanding of production-tested principles including horizontal scaling, 12-factor application design, and security principles like OWASP.
- Observability: Experience monitoring AI performance and analyzing model/software errors using tools like Sentry, DataDog, or Jaeger.
- DevOps Tools: Proficiency in container-based development with Docker and source control via Git.
- Experience: At least 5+ years of hands-on software development experience—"It’s not the years, it’s the miles."
Bonus Points
- Experience with AI orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, LiteLLM, or CrewAI).
- Production experience with distributed, event-driven, and message-driven architectures.
- Experience building self-service "Platform-as-a-Product" for internal developers.
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $150,000.00/year in our lowest geographic market up to $200,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Perks
- 100% medical, dental and vision coverage
- Flexible PTO policy
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
- Competitive compensation and opportunity for advancement
Why Coalition?
Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.
We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.
Privacy Notice
Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.
Safe Hiring Notice
All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page. We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you’ve been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC).
Anti-Discrimination Notice
Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.
Accommodations
Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.
To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Coalition, Inc.
Applied Scientist II
Share this job
About us
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.
About the role
We are hiring an Applied Scientist II to build and improve the machine learning and GenAI models that power our underwriting decisions. You will take ownership of high-impact modeling problems end-to-end. This includes framing and data exploration through model design, evaluation, deployment, and monitoring, directly influencing how we assess and price cyber risk.
You’ll work closely with underwriters, product managers, and engineers to design robust pipelines, experiment with state-of-the-art ML/GenAI techniques, and ship models that meaningfully move business metrics. Your work will turn complex insurance and security signals into reliable decisioning systems, helping Coalition write better business at scale while pushing the frontier of AI in underwriting.
Responsibilities
- Build and advance our most sensitive and business-critical ML and GenAI models that power underwriting decisions and risk selection.
- Drive and execute ML projects end-to-end: problem framing, data exploration, feature engineering, model design, prototyping, offline/online evaluation, deployment, and monitoring.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid and reproducible experimentation.
- Apply state-of-the-art ML and GenAI workflows (e.g., gradient-boosted trees, deep learning, LLMs, prompt engineering, transfer learning) to improve underwriting accuracy, automation, and decision support.
- Own model quality and robustness by defining success metrics, running ablations and diagnostics, and iterating to outperform prior baselines.
- Survey and incorporate recent advances in ML/GenAI research into our core underwriting capabilities, balancing scientific rigor with practical constraints.
- Collaborate closely with underwriters, product, data, and engineering partners to clarify requirements, align on tradeoffs, and ensure models integrate cleanly into production workflows.
- Communicate methods and results clearly through documentation, presentations, and design reviews; share learnings and patterns that level up the broader team.
- Contribute to a culture of scientific and data excellence by bringing mature empathy, best practices, and lightweight processes to experimentation, code review, and model governance.
Skills and Qualifications
- Ph.D. or MS in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Math, Electrical Engineering) or equivalent practical experience.
- 5+ years of full-time experience developing and deploying ML- and data-based solutions in production.
- Practical, hands-on experience with supervised and unsupervised learning methods, including model selection, regularization, and calibration.
- Expertise in statistical analysis methods, especially regression analysis, statistical inference, and forecasting / time-series methods.
- Strong proficiency in Python and core ML libraries (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow) and SQL for working with large, messy datasets.
- Experience with experiment design and evaluation (e.g., A/B tests, offline metrics vs. online KPIs, guardrails) and with ensuring reproducible results.
- Comfortable and effective in ambiguous problem spaces; demonstrated ability to own and drive projects with minimal oversight and process.
- Exceptional written and oral communication skills, with the ability to explain complex modeling choices and tradeoffs to technical and non-technical stakeholders.
- Minimum 1+ year of experience in insurance underwriting modeling (pricing, risk scoring, eligibility, or related applications).
Bonus Points
- Experience with modern GenAI techniques relevant to underwriting (e.g., using LLMs for document understanding, unstructured-to-structured extraction, or underwriter copilot workflows).
- Familiarity with model governance in regulated environments, including documentation, validation, monitoring, and change management.
- Experience with ML orchestration and MLOps tools (e.g., Airflow, Prefect, MLflow, SageMaker) for managing training, deployment, and monitoring at scale.
- Exposure to causal inference or uplift modeling for understanding the impact of underwriting or guideline changes.
- Experience working with cyber or P&C insurance data (exposures, limits, deductibles, claims, external risk signals).
Compensation
Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $115,900/year in our lowest geographic market up to $155,250/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Perks
- 100% medical, dental and vision coverage
- Flexible PTO policy
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
- Competitive compensation and opportunity for advancement
Why Coalition?
Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.
We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.
Privacy Notice
Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.
Safe Hiring Notice
All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page. We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you’ve been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC).
Anti-Discrimination Notice
Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.
Accommodations
Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.
To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Coalition, Inc.
Applied Scientist II
Share this job
About us
Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks.
Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.
About the role
We are hiring an Applied Scientist II to build and improve the machine learning and GenAI models that power our underwriting decisions. You will take ownership of high-impact modeling problems end-to-end. This includes framing and data exploration through model design, evaluation, deployment, and monitoring, directly influencing how we assess and price cyber risk.
You’ll work closely with underwriters, product managers, and engineers to design robust pipelines, experiment with state-of-the-art ML/GenAI techniques, and ship models that meaningfully move business metrics. Your work will turn complex insurance and security signals into reliable decisioning systems, helping Coalition write better business at scale while pushing the frontier of AI in underwriting.
Responsibilities
- Build and advance our most sensitive and business-critical ML and GenAI models that power underwriting decisions and risk selection.
- Drive and execute ML projects end-to-end: problem framing, data exploration, feature engineering, model design, prototyping, offline/online evaluation, deployment, and monitoring.
- Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid and reproducible experimentation.
- Apply state-of-the-art ML and GenAI workflows (e.g., gradient-boosted trees, deep learning, LLMs, prompt engineering, transfer learning) to improve underwriting accuracy, automation, and decision support.
- Own model quality and robustness by defining success metrics, running ablations and diagnostics, and iterating to outperform prior baselines.
- Survey and incorporate recent advances in ML/GenAI research into our core underwriting capabilities, balancing scientific rigor with practical constraints.
- Collaborate closely with underwriters, product, data, and engineering partners to clarify requirements, align on tradeoffs, and ensure models integrate cleanly into production workflows.
- Communicate methods and results clearly through documentation, presentations, and design reviews; share learnings and patterns that level up the broader team.
- Contribute to a culture of scientific and data excellence by bringing mature empathy, best practices, and lightweight processes to experimentation, code review, and model governance.
Skills and Qualifications
- Ph.D. or MS in a quantitative or computational field (e.g., Computer Science, Statistics, Applied Math, Electrical Engineering) or equivalent practical experience.
- 5+ years of full-time experience developing and deploying ML- and data-based solutions in production.
- Practical, hands-on experience with supervised and unsupervised learning methods, including model selection, regularization, and calibration.
- Expertise in statistical analysis methods, especially regression analysis, statistical inference, and forecasting / time-series methods.
- Strong proficiency in Python and core ML libraries (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow) and SQL for working with large, messy datasets.
- Experience with experiment design and evaluation (e.g., A/B tests, offline metrics vs. online KPIs, guardrails) and with ensuring reproducible results.
- Comfortable and effective in ambiguous problem spaces; demonstrated ability to own and drive projects with minimal oversight and process.
- Exceptional written and oral communication skills, with the ability to explain complex modeling choices and tradeoffs to technical and non-technical stakeholders.
- Minimum 1+ year of experience in insurance underwriting modeling (pricing, risk scoring, eligibility, or related applications).
Bonus Points
- Experience with modern GenAI techniques relevant to underwriting (e.g., using LLMs for document understanding, unstructured-to-structured extraction, or underwriter copilot workflows).
- Familiarity with model governance in regulated environments, including documentation, validation, monitoring, and change management.
- Experience with ML orchestration and MLOps tools (e.g., Airflow, Prefect, MLflow, SageMaker) for managing training, deployment, and monitoring at scale.
- Exposure to causal inference or uplift modeling for understanding the impact of underwriting or guideline changes.
- Experience working with cyber or P&C insurance data (exposures, limits, deductibles, claims, external risk signals).
Compensation
As a remote-first organization, our compensation reflects the cost of labor across several Canadian geographic markets.
In Alberta, British Columbia & Ontario the base salary for this position ranges from $115,300.00/year up to $144,100.00/year.
For all other locations, the base salary for this position ranges from $103,800.00/year up to $129,690.00/year.
Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your Recruiter can share more on the specific target salary range for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.
Vacancy Status: This posting is for an existing vacancy.
Use of AI: We utilize AI-assisted tools to help us organize and review the high volume of applications we receive. However, our human recruiting team makes all final hiring decisions and interview selections, valuing personal connection over algorithms.
Application Updates: Consistent with our commitment to transparency, if you are interviewed for this role, we will provide a status update on your application within 45 days of your final interview.
Perks
- 100% medical, dental, and vision coverage
- Flexible PTO
- Annual home office stipend and WeWork access
- Mental & physical health wellness programs like Headspace, Lumino, and more!
- Competitive compensation and opportunity for advancement
Why Coalition?
Work at Coalition is centered on the joint mission to Protect the Unprotected. We have built a remote-first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.
We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.
Privacy Notice
Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.
Safe Hiring Notice
All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page. We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you’ve been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC).
Anti-Discrimination Notice
Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.
Accommodations
Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.
To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Coalition, Inc.