Senior Software Engineer, AI

About The Role

In this opportunity as a Senior Software Engineer, AI, you will:

• Build and ship AI-driven systems — Contribute to the design and implementation of enterprise-scale AI systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning; develop full-stack features from AI orchestration and RAG through API gateways, microservices, and modern web UIs, in partnership with tech leads and architects.
• Explore and apply emerging AI practices — Evaluate and help adopt new AI techniques; contribute to proof-of-concept work and technical feasibility for AI-driven features; stay current with AI research and apply practical insights to implementation; optionally participate in internal tech talks or community learning.
• Provide technical depth and collaboration — Participate in architecture and design discussions; translate business requirements into clear technical approaches alongside your team; mentor and support other engineers; follow and help improve MLOps and LLMOps practices for the AI model lifecycle.
• Ensure quality, security, and operational excellence — Implement testing, monitoring, and observability for AI systems; follow ethical AI, security, and regulatory requirements; support governance for AI model lifecycle management in production.
• Partner across disciplines — Work closely with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications; optimize performance for latency, cost, and user experience; bring strong technical judgment to roadmap and feature discussions.

Requirements

You're a fit for the role of Senior Software Engineer, AI if you have the following required qualifications:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience, and 5+ years of software engineering experience with at least 2 years hands-on building production AI/ML or GenAI features (RAG, LLMs, agents, or similar)—as a software engineer, not primarily as a data scientist or ML researcher.
• Proven track record delivering software with AI expertise, including experience across the lifecycle: solution discovery, architecture, tooling, evaluation, deployment, operations, and metrics.
• Strong proficiency in Java/Spring Boot for backend services and APIs; hands-on experience with modern front-end frameworks (React, Angular, or Vue.js) and full-stack web application development; experience building production RESTful APIs, microservices, and API gateways; solid understanding of web security, authentication/authorization, and API design.
• Strong proficiency in Python and practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX); solid understanding of ML principles, evaluation methodologies, and distributed systems; experience with MLOps/LLMOps and shipping AI capabilities to production.
• Hands-on experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); ability to integrate AI models into production systems via APIs, data pipelines, and cloud-native architectures.
• Strong collaboration skills; clear written and verbal communication; ability to work independently on complex problems and align with team priorities.

Skills

Additional Preferred Qualifications Include:

• Experience on teams building AI-driven systems, agent-based architectures, or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic).
• Strong knowledge of vector databases, embeddings, semantic search, and information retrieval; domain familiarity with legal, tax, accounting, or regulated industries (e.g., investigative or large-scale search platforms).
• Track record contributing to AI product launches and scaling AI systems for enterprise use; exposure to AI governance, model risk management, or regulatory compliance; publications, patents, or speaking experience in AI/ML.

Benefits

• Hybrid Work Model: Flexible hybrid working environment for office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: "Flex My Way" policies including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: Culture of continuous learning and skill development with "Grow My Way" programming and a skills-first approach.
• Industry Competitive Benefits: Comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and values-driven environment.
• Social Impact: Two paid volunteer days off annually and opportunities to participate in pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Additional Benefits: Market competitive health, dental, vision, disability, and life insurance programs; competitive 401k plan with company match; paid holidays (including two company mental health days off), parental leave, sabbatical leave; optional hospital, accident, sickness, life, and AD&D insurance; Flexible Spending and Health Savings Accounts; fitness reimbursement; Employee Assistance Program; Group Legal Identity Theft Protection; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; Employee Stock Purchase Plan.

Pay

The base compensation range for this role is $110,000 USD - $204,200 USD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills, and experience with consideration given to internal equity. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.