With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

Reporting to the Sr Engineering Manager, as a Software Engineer II, you'll have the opportunity to push our product in new directions while also shaping the next iterations of the features our customers already love. You'll define the future of core pieces of our backend across areas like our data model, as well as core pieces of our frontend, like design systems or rich visualizations. From front-end usability to back-end algorithms, async workers to scalable applications, you'll hone your skills across multiple domains while helping to drive forward the Affinity product and vision.

Location: Toronto, Ontario

In this role, you will:

• Own product areas that are critical to the success of our customers and our business
• Collaborate with world-class engineering, product, and design teams -- you'll have the opportunity to learn from a wide variety of experiences and, of course, to share your own
• Grow your expertise and fluency with core pieces of technology across the full application stack

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications below, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• You take pride in delivering high-quality and powerful products to customers while also championing technical excellence
• You have 3+ years of experience as a full-stack software engineer, including familiarity with the different pieces of technology involved in building modern web applications
• Experience applying AI tools and best practices to enhance efficiency, code quality and delivery of business objectives.
• You have experience writing server-side code leveraging modern OOP practices, ideally using Ruby and PostgreSQL
• You have experience building interfaces with React and modern component-based interfaces
• You have a strong understanding of relational databases and the ability to design and implement systems that scale and avoid performance bottlenecks
• You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and as a company.

Tech stack

Our platform is built with React and TypeScript on the front end, and with Ruby and PostgreSQL on the back end. Our infrastructure is hosted by AWS and runs on Kubernetes.

How we work:

Our culture is a key part of how we operate as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver incremental value to our customers each sprint.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer an RRSP plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. 

A reasonable estimate of the current range is $104,000 to $130,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. 

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

Additional Information:

• This job posting represents an active vacancy that we are currently seeking to fill.

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

Reporting to the VP of Engineering, you will be leading a team that drives the platform’s Relationship Intelligence engine, which is the core engine that enables Affinity’s users to unlock the power of their network. This is a high-scale and complex domain that handles ingestion and processing of billions of interactions, and distills them to actionable insights and visualizations that drive dealmaking for users. You will help define the technical roadmap and implementation for the future of our product and guide the team to build scalable features and functionality end-to-end. This is a hands-on role; in addition to leading the team, you'll also be an active contributor.

Location: Toronto, Ontario

What you’ll be doing:

• Through cross-team collaboration with Product Management and Design, define the roadmap that makes up the Relationship Intelligence engine and features.
• Lead, coach, mentor and inspire a team that owns applications that are critical to the success of our customers and our business.
• Own the delivery of a delightful, reliable platform and user experience to our users around the world through rapid cycles of development and iteration.
• Lead Agile processes like daily standups, sprint plannings, demos and retrospectives.
• Champion AI tools and best practices, keeping current with the rapidly changing landscape, in order to enable high degrees of team efficiency and output, and create a learning environment for team members to continuously develop skills.
• Be an active contributor. You’ll have the time to build meaningful features alongside your team.
• Drive complex technical, architecture, design, and product discussions.
• Identify and fill gaps on the team, and create the processes necessary for the team’s success.
• Scale the team by hiring additional talented engineers to provide the necessary velocity to meet the team’s goals.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• You have 8+ years of experience working in a full-stack software engineering role, building scalable web applications with large volumes of data and rich visualizations.
• You have 3+ years in an engineering management role or technical leadership role, providing mentorship and coaching in a formal setting.  
• You have experience leading high-performing engineering teams.
• You have experience working with complex SaaS platforms.
• You have excellent communication skills.
• You take pride in delivering an exceptionally high-quality product in terms of the functionality you provide to consumers, as well as the platform’s overall performance and reliability.
• You are passionate about helping engineers at all levels develop new skills and advance their careers. 
• You're excited to work collaboratively within engineering and across functional teams.
• You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and company.

Nice to have:

• Experience working with Ruby, React, TypeScript or Postgres.
• Experience working with CRM-type applications and high scale data model design
• Experience building data-intensive applications.

Tech stack

Our platform is built with React and TypeScript on the front end, and with Ruby and Postgres on the back end. Our infrastructure is hosted by AWS and runs on Kubernetes. 

What you’ll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer an RRSP plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to succes.

Please note that the role compensation details below reflect the base salary only and do not include any equity, or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. 

A reasonable estimate of the current range is $176,000 to $220,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

Additional Information:

• This job posting represents an active vacancy that we are currently seeking to fill.

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

As a Senior Software Engineer in the Identity Access Management & Integrations Team, you'll have the opportunity to push our product and platform in new directions while also shaping the next iterations of the features our customers already love. You will be one of our first team members in our brand-new Barcelona office. You'll help drive the technical roadmap and implementation of our Internal and External API layers, our 3rd party integration platform and access management systems.

We’re looking for a high-velocity engineer who thrives in dynamic environments—someone who can rapidly prototype end-to-end solutions, iterate quickly, and deliver measurable customer impact. From high-performing APIs to backend algorithms, integration frameworks, to guaranteeing data privacy with access management rules, you'll hone your skills across multiple domains while helping to drive forward the Affinity product and vision.

Location: Barcelona, Spain

For this role, we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members are expected in-office 2-days per week. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

In this role, you will:

• Own product areas that are essential to the success of our customers and our business.
• Collaborate with world-class engineering, product, and design teams. You'll have the opportunity to learn from a wide variety of experiences and, of course, to share your own.
• Drive the technical best practices for our APIs, integrations and IAM systems that allow our platform to exceed its performance goals and customers expectations.
• Mentor other engineers to uplevel them individually and the team as a whole.
• Promote operational excellence with focus on high reliability, performance, and scalability

Qualifications:

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• You have 5+ years of experience in software engineering, with at least 2+ years of experience as a senior member of a team delivering end-to-end systems.
• You’ve worked with a variety of web APIs and developed backend services using modern OOP practices.
• You have a strong understanding of relational databases and the ability to diagnose performance bottlenecks at the database layer.
• You’re comfortable troubleshooting across network, application, caching, queuing, and storage layers
• You've helped your teams solve high-scale challenges, integrate systems, or develop business intelligence platforms.
• You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time.
• You demonstrate strong ownership instincts and sweat the details.
• You’re excited to work on a cross-functional team, partnering with product stakeholders, other teams, and subject matter experts
• Language requirements: Proficient in English

Tech stack

Our systems are built in Ruby on Rails, PostgreSQL and Redis on the backend, and Typescript and React in the frontend. Our infrastructure is hosted by AWS and runs on Kubernetes. However, this role is more heavily focused on backend development, but will have some frontend development initiatives.

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: Comprehensive health insurance for both you and your family.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support:  We provide a monthly budget for wellness memberships/equipment to support your overall health and happiness.

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. 

This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.

As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. 

In this role you will:

• Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. 
• Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. 
• Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. 
• Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. 
• Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation
• Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction   
• Experience with vector or graph databases
• Experience with document chunking, embedding models, and context window optimization
• Familiarity with metadata-based retrieval and re-ranking strategies
• Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency)   
• Familiarity with data security, versioning, and MLOps principles

Nice to Have:

• Experience with enterprise AI applications with strict compliance, audit, or legal requirements
• Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements. 
• Experience with multi-modal search
• Experience with graph based recommendation systems, such as graph NN. 
• Experience with developing AI applications powered by agent-based systems
• Experience with packaging, CI/CD and pipeline automation. 

Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. 

How we work:

Our culture is a key part of how we operate, as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer an RRSP plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $160,000 to $220,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. 

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

Additional Information:

• This job posting represents an active vacancy that we are currently seeking to fill.

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

Reporting to the Sr Director of Engineering, you will be leading and scaling out a team that oversees the customer-facing features of the core Affinity CRM product. You will help define the technical roadmap and implementation for the future of our product and guide the team to build scalable features and functionality end-to-end. This is a hands-on role; in addition to leading the team, you'll also be an active contributor.

The core application engineering team has a wide breadth of responsibility at Affinity. They not only deliver end-to-end features for our CRM product but also work on core data models and build ways to performantly surface data to our customers. We are looking for a Senior Engineering Manager who values career development, mentorship and will support the team as we scale. 

Location: Toronto, Ontario

What you’ll be doing:

• Through cross-team collaboration with Product Management and Design, define the roadmap that makes up the Affinity CRM product.
• Lead, coach, mentor and inspire a team that owns applications that are critical to the success of our customers and our business.
• Own the delivery of a delightful, reliable user experience to our users around the world through rapid cycles of development and iteration.
• Lead Agile processes like daily standups, sprint plannings, demos and retrospectives.
• Champion AI tools and best practices, keeping current with the rapidly changing landscape, in order to enable high degrees of team efficiency and output, and create a learning environment for team members to continuously develop skills.
• Be an active contributor. You’ll have the time to build meaningful features alongside your team.
• Drive complex technical, architecture, design, and product discussions.
• Identify and fill gaps on the team, and create the processes necessary for the team’s success.
• Scale the team by hiring additional talented engineers to provide the necessary velocity to meet the team’s goals.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• You have 10+ years of experience working in a full-stack software engineering role, building scalable web applications with large volumes of data and rich visualizations.
• You have 5+ years in an engineering management role or technical leadership role, providing mentorship and coaching in a formal setting.  
• You have experience leading high-performing engineering teams.
• You have experience working with complex SaaS platforms.
• You have excellent communication skills.
• You take pride in delivering an exceptionally high-quality product in terms of the functionality you provide to consumers, as well as the platform’s overall performance and reliability.
• You are passionate about helping engineers at all levels develop new skills and advance their careers. 
• You're excited to work collaboratively within engineering and across functional teams.
• You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and company.

Nice to have:

• Experience working with Ruby, React, or PostgreSQL.
• Experience working with CRM-type applications and high scale data model design
• Experience building data-intensive applications.

Tech stack

Our platform is built with React and TypeScript on the front end, and with Ruby and PostgreSQL on the back end. Our infrastructure is hosted by AWS and runs on Kubernetes. 

What you’ll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer an RRSP plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to succes.

Please note that the role compensation details below reflect the base salary only and do not include any equity, or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. 

A reasonable estimate of the current range is $196,000 to $245,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

Additional Information:

• This job posting represents an active vacancy that we are currently seeking to fill.

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

We're building a world-class dual-native mobile experience for our CRM platform. Our iOS app is used daily by dealmakers, investors, and professionals who rely on Affinity to manage millions of dollars in relationships and deals. We need an open-minded iOS expert to own and evolve our SwiftUI-based mobile application.

This is a unique opportunity to join a small, high-impact mobile team where you'll have significant ownership over the iOS codebase and architecture. As we expand our mobile presence, you'll also have the opportunity to contribute to our dual-native strategy, including Kotlin Multiplatform shared code and Jetpack Compose Android development.

Location: Barcelona, Spain

For this role, we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members are expected in-office 2-days per week. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

In this role, you will:

• Own the iOS codebase: Lead architecture decisions, maintain code quality, and drive technical excellence for our SwiftUI application
• Develop core platform functionality: Build new features while ensuring a seamless, high-performance experience for users across mobile interfaces
• Contribute to shared infrastructure: Help build and maintain our Kotlin Multiplatform (KMP) shared module for business logic, networking, and data models
• Ensure quality and performance: Write comprehensive tests, optimize for 60fps scrolling, manage memory efficiently, and maintain App Store quality standards
• Collaborate cross-functionally: Work closely with product, design, and backend teams to deliver cohesive features that delight users
• Support cross-platform development: Participate in Android development efforts, leveraging similarities between SwiftUI and Jetpack Compose

Qualifications:

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• 5+ years of iOS development experience, with deep expertise in modern iOS development
• Expert-level SwiftUI skills: You have a strong understanding of SwiftUI architecture patterns, state management, MVVM, dependency injection, and compositional design.
• Swift 6 proficiency: You have a deep knowledge of modern Swift, including async/await.
• Shipped apps: You have a proven track record of shipping high-quality apps to the App Store.
• Networking and APIs: You have a strong understanding of REST APIs, JSON serialization, authentication, and error handling.
• Troubleshooting: You’re comfortable troubleshooting across network and application layers. You know how to diagnose and improve performance issues systematically.
• Communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. You can effectively contribute to technical strategy and roadmaps on product-oriented teams.
• Ownership: You demonstrate strong ownership instincts and sweat the details. You have strong convictions, weakly held, and assume validation and iteration are a given to produce the best results.
• Growth mindset: Interest in expanding beyond iOS to become a T-shaped mobile engineer.

Nice to have:

• Android experience or a strong desire to learn Kotlin Multiplatform knowledge
• AI-Driven Engineering
• UIKit knowledge
• Experience writing unit tests and UI tests.
• Experience building B2B or CRM applications

Tech stack:

Mobile
  - iOS: SwiftUI, Swift 6, UIKit (for bridges), Xcode, Swift Package Manager
  - Android: Jetpack Compose, Kotlin (you'll have opportunities to learn)
  - Shared: Kotlin Multiplatform (for business logic and networking)
  - CI/CD: Fastlane, CircleCI, GitHub Actions

Backend & Infrastructure
  - Backend: Ruby on Rails, PostgreSQL
  - APIs: REST, JSON, GraphQL
  - Infrastructure: AWS, Kubernetes

How We Work:

Our culture is a key part of how we operate as well as our hiring process:

• Small, high-impact team: You'll be one of two mobile engineers, with significant ownership and influence
• T-shaped philosophy: We value deep expertise in one platform plus breadth across mobile development
• Dual-native approach: We build native iOS and Android apps that share business logic via Kotlin Multiplatform
• Strategic Delivery: Analyze business requirements to balance high-quality engineering with speed to market, making informed technical trade-offs to deliver value efficiently without compromising system integrity.
• Collaborative culture: Regular pair programming, thorough code reviews, and cross-functional collaboration

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: Comprehensive health insurance for both you and your family.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support:  We provide a monthly budget for wellness memberships/equipment to support your overall health and happiness.

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

As a Software Engineer II in the Identity Access Management & Integrations Team, you'll have the opportunity to push our product and platform in new directions while also shaping the next iterations of the features our customers already love. You will be one of our first team members in our brand-new Barcelona office. You'll help drive the technical roadmap and implementation of our Internal and External API layers, our 3rd party integration platform and access management systems.

We’re looking for a high-velocity engineer who thrives in dynamic environments—someone who can iterate quickly, build backend applications and deliver measurable customer impact. From high-performing APIs to backend algorithms, integration frameworks, to guaranteeing data privacy with access management rules, you'll hone your skills across multiple domains while helping to drive forward the Affinity product and vision.

Location: Barcelona, Spain

For this role, we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members are expected in-office 2-days per week. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

In this role, you will:

• Build and release features in product areas that are essential to the success of our customers and our business.
• Work with world-class engineering, product, and design teams - you'll have the opportunity to learn from a wide variety of experiences and, of course, to share your own.
• Follow the technical best practices for our APIs, integrations and IAM systems that allow our platform to exceed its performance goals and customers expectations.
• Grow your expertise and fluency with core pieces of technology across the entire application stack.

Qualifications:

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• You have 3+ years of experience as a software engineer, including familiarity with the different pieces of technology involved in building modern web applications.
• You take pride in delivering high-quality and powerful products to customers while also championing technical excellence.
• You have experience developing backends in Ruby and relational databases.
• You have experience with modern front-end technologies such as React and TypeScript, and enjoy working on the client-side.
• You’ve worked with a variety of web APIs and developed backend services using modern OOP practices.
• You're excited to work collaboratively within engineering and across functional teams.
• You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and as a company.
• Language requirements: Proficient in English

Tech stack

Our systems are built in Ruby on Rails, PostgreSQL and Redis on the backend, and Typescript and React in the frontend. Our infrastructure is hosted by AWS and runs on Kubernetes. However, this role is more heavily focused on backend development, but will have some frontend development initiatives.

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: Comprehensive health insurance for both you and your family.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support:  We provide a monthly budget for wellness memberships/equipment to support your overall health and happiness.

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. 

This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.

As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. 

In this role, you will:

• Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. 
• Build LLM powered agent systems: Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. 
• Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. 
• Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. 
• Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation
• Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction   
• Experience with vector or graph databases
• Experience with document chunking, embedding models, and context window optimization
• Familiarity with metadata-based retrieval and re-ranking strategies
• Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency)   
• Familiarity with data security, versioning, and MLOps principles

Nice to Have:

• Experience with enterprise AI applications with strict compliance, audit, or legal requirements
• Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements. 
• Experience with multi-modal search
• Experience with graph based recommendation systems, such as graph NN. 
• Experience with developing AI applications powered by agent-based systems
• Experience with packaging, CI/CD and pipeline automation. 

Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference. 

How we work:

Our culture is a key part of how we operate, as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

Work Location: San Francisco, New York, or US Remote (Affinity is registered to employ in certain U.S. states)

For those located in San Francisco or New York, for this role we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members within commuting distance are expected in-office 2–3 days per week, typically Tuesday through Thursday. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer a 401(k) plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $160,000 to $235,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. 

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. 

This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.

As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering, rather than research. You will play a key role in advancing our ML Engineering capabilities, particularly in information retrieval and eventually recommendation systems. 

What you’ll be doing:

• Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
• Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements. 
• Build recommendation and ranking systems: Architect and launch ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
• Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. 
• Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. 
• Hands-on experience developing ranking or recommendation systems from scratch, deployed at scale using techniques such as learn-to-rank, explainable recommendations    
• Strong understanding of machine learning techniques, including clustering and decision trees
• Experience with serving ML models for streaming and batch inference at scale.
• Experience with vector or graph databases.
• Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar).
• Track record of building maintainable, testable, and production-grade codebases.
• Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications.

Nice to Have:

• Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement. 
• Experience with graph-based recommendation systems, such as graph NN. 
• Experience with packaging, CI/CD and pipeline automation. 

Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference.

How we work:

Our culture is a key part of how we operate, as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

Work Location: San Francisco, New York, or US Remote (Affinity is registered to employ in certain U.S. states)

For those located in San Francisco or New York, for this role we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members within commuting distance are expected in-office 2–3 days per week, typically Tuesday through Thursday. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer a 401(k) plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $160,000 to $235,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. 

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. 

This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers.

As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering, rather than research. You will play a key role in advancing our ML Engineering capabilities, particularly in information retrieval and eventually recommendation systems. 

What you’ll be doing:

• Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.
• Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements. 
• Build recommendation and ranking systems: Architect and launch ranking and recommendation infrastructure from scratch, initially via integrated off-the-shelf models, and evolving to targeted and customized solutions in the long term.
• Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. 
• Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.

Qualifications

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:

• 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. 
• Hands-on experience developing ranking or recommendation systems from scratch, deployed at scale using techniques such as learn-to-rank, explainable recommendations    
• Strong understanding of machine learning techniques, including clustering and decision trees
• Experience with serving ML models for streaming and batch inference at scale.
• Experience with vector or graph databases.
• Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar).
• Track record of building maintainable, testable, and production-grade codebases.
• Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications.

Nice to Have:

• Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement. 
• Experience with graph-based recommendation systems, such as graph NN. 
• Experience with packaging, CI/CD and pipeline automation. 

Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference.

How we work:

Our culture is a key part of how we operate, as well as our hiring process:

• We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.
• We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. 
• We make data-driven decisions and make the best decision for the moment based on the information available.

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being.
• Retirement Planning: We offer an RRSP plan to help you plan for your future.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.
• Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.

Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $160,000 to $220,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. 

At Affinity, we may use artificial intelligence (AI) tools as part of our recruitment process to help screen and evaluate candidate applications. While AI assists our hiring team in managing applications efficiently, it never replaces decisions made by real people. We are committed to fair and transparent hiring practices, and our AI tools are regularly monitored to ensure they support—not replace—human judgment. 

Additional Information:

• This job posting represents an active vacancy that we are currently seeking to fill.