AbsenceSoft Logo

AbsenceSoft

Senior AI Engineer

Posted 18 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Design, develop, deploy, and optimize AI and machine learning solutions for an employee leave management platform. Responsibilities include building scalable models, applying NLP and predictive modeling, implementing MLOps practices, developing secure data pipelines, collaborating with product and engineering teams, and ensuring ethical AI through fairness, transparency, and bias detection.
The summary above was generated by AI

At AbsenceSoft, we’re transforming the employee experience. Our secure, intuitive technology helps employers bring humanity, certainty, and efficiency to some of the most complex moments in the workplace. Built by HR professionals for HR professionals, we’re proud of where we’ve been and even more excited about where we’re going.


We’re seeking a highly skilled and innovative Senior AI Engineer to design, build, and optimize advanced artificial intelligence solutions that drive innovation and efficiency across AbsenceSoft’s leave management platform. This role will play a key part in developing scalable AI models, enhancing automation, and collaborating across teams to embed AI capabilities into core product experiences. The ideal candidate brings deep technical expertise, creative problem-solving, and a passion for ethical, responsible AI.


WHAT YOU'LL DO

  • Design, develop, and deploy AI and machine learning models to power automation, analytics, and decision support.
  • Collaborate with product managers and engineers to align AI initiatives with business goals and product strategies.
  • Research and prototype new AI applications in the leave management domain.
  • Optimize models and algorithms for performance, accuracy, and scalability.
  • Implement MLOps best practices for model training, testing, deployment, and monitoring.
  • Partner with data engineering teams to build and maintain clean, secure, and reliable data pipelines.
  • Ensure compliance with ethical AI standards, focusing on fairness, transparency, and bias detection.
  • Apply NLP, predictive modeling, and other AI techniques to enhance product intelligence.
  • Troubleshoot, refine, and document AI solutions to maintain high reliability and trust.
  • Stay current with emerging AI technologies and contribute to strategic adoption initiatives.
  • Participate in a highly compliant environment while assisting to maintain company controls and security within your job role.
  • Assist in maintaining applicable organizational security and compliance controls within your department, role, and subordinate’s roles.
  • Other duties as assigned.


WHAT YOU'LL BRING

  • 7+ years of software engineering experience, including 3+ years building and training production ML models, with a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (Master's preferred).
  • Hands-on experience training and fine-tuning neural network models in PyTorch or TensorFlow (required), plus Python and familiarity with Scikit-learn, with a strong understanding of NLP, predictive modeling, and neural networks.
  • Hands-on experience with MLOps tools, cloud-based AI platforms (AWS, Azure, or GCP), and building secure, reliable data pipelines.
  • Strong analytical and communication skills, with the ability to translate business needs into technical solutions and collaborate across technical and non-technical teams.
  • A genuine commitment to ethical, transparent, and responsible AI practices.


Why join us


At AbsenceSoft, we LEAD with our values:

Lead with Innovation - We create meaningful change through intelligence, focus and passion.  We embrace curiosity, data, and insight to shape the future of our industry. Always innovating, learning and evolving.

Elevate Every Voice - Every perspective matters. We listen, learn, and build a culture where diversity of thought and experience drives better solutions and smarter decisions. 

Achieve Together - The customer fuels everything we do. We share knowledge, collaborate, celebrate wins, and face challenges as one team because success is always a collective achievement.

Drive Outcome - Every action we take delivers measurable value to our teams, our customers, and the employees they support. Accountability is non-negotiable. We honor our commitments, take responsibility for results, and see every success and setback as a chance to grow stronger.

 

We offer:

  • Impact that matters. You’ll do work that shapes the future of the modern workplace
  • Flexibility and trust. We’re remote-first and results driven. You’ll have the freedom and flexibility to do your best work, wherever you do it best.
  • Growth and development. We believe the best work happens when people are growing. You’ll have access to learning resources, leadership programs, and real opportunities to take on new challenges and expand your impact.  
  • Competitive rewards. We offer comprehensive benefits, a performance-based bonus program, and equity opportunities – because when we grow, you should too.
  • Time for life. Recharge and reconnect with flexible time off, paid holidays, and flexible leave programs designed to support every season of life.
  • Belonging and balance. We’re building an inclusive culture where every voice is valued, collaboration is celebrated, and success is shared.

 

We’re committed to building a team as diverse as the customers we serve. If your experience doesn’t align perfectly with every qualification, we still encourage you to apply you might be exactly what we’re looking for. If this sounds like a fit, apply today, we’d love to meet you!


Final compensation is determined based on a candidate's relevant experience, skills, education, and geographic location. This position is also eligible for annual bonus.


The range for this position is 170,311.00 - 212,888.00 USD per year (US National)


#LI-DNI

Similar Jobs

9 Hours Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
Design and ship production-grade agentic AI systems for KYB, underwriting, case review, and risk monitoring. Own agent architecture, retrieval, tools, evaluation, observability, MLOps, reliability, and compliance guardrails. Partner with AI, product, platform, security, and legal teams to turn ambiguous product opportunities into deployed features. Mentor engineers and establish practices for safe, measurable, and reliable LLM systems in regulated financial environments.
Top Skills: Anthropic ClaudeArgocdAWSBraintrustClaude Agent SdkDatadogEksKafkaKubernetesKustomizeLambdaLangchainLangfuseLanggraphLangsmithLlamaMcpMistralMskNode.jsOpenaiOpenai SdkOpensearchPgvectorPostgresPythonRdsRedisRedshiftS3TerraformTypescriptVector Databases
5 Days Ago
In-Office or Remote
120K-215K Annually
Senior level
120K-215K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build full-stack applications and AI/ML solutions using Java, React, APIs, Kafka, MySQL, Kubernetes, and cloud platforms. Design and deploy LLM and generative AI capabilities, implement CI/CD pipelines, monitor production systems, write automated tests, address security and quality issues, and participate in architecture, code reviews, product lifecycle management, and agile ceremonies.
Top Skills: Ai/MlApache KafkaAWSAzureCodeqlDynatraceGCPGenerative AiGithub ActionsGithub CopilotGrafanaGraphQLJavaJavaScriptJfrog ArtifactoryJunitKubernetesLlmsMySQLReactRestSonarqubeSplunkTanstack QueryTypescriptZabbix
5 Days Ago
Remote
CO, USA
170K-200K Annually
Senior level
170K-200K Annually
Senior level
Information Technology • Machine Learning • Software • Conversational AI • Generative AI • Manufacturing
Designs and delivers production AI agents, assistants, and automations across CRM and revenue systems. Owns Salesforce architecture, including Apex, Lightning Web Components, Flow, CPQ, security, integrations, and data models. Leads AI evaluation, cost management, monitoring, and ROI measurement. Integrates Salesforce with SAP, DocuSign, HubSpot, Snowflake, and AWS services. Manages DevOps releases, technical standards, Agile projects, user acceptance testing, adoption, and engineering mentorship.
Top Skills: ApexAWSCi/CdClaudeCpqDocusignGearsetGitGithub CopilotHubspotJIRALightning Web ComponentsMcp ConnectorsPythonSalesforceSalesforce FlowSAPSnowflakeSQLTypescript

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account