Senior Software Engineer, AI

About the role

Join our fast-moving, forward-thinking group that is creating AI-driven software for professionals through our investigative platform, CLEAR (Consolidated Lead Evaluation and Reporting), which empowers users to search and analyze billions of public and proprietary records from a unified interface. We invest deeply in AI technologies and explore emerging fields with the backing of Thomson Reuters, a global leader.

Responsibilities

• 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

• 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.

Qualifications

• 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.

Skills

• Java/Spring Boot
• Modern front-end frameworks (React, Angular, or Vue.js)
• Python and AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX)
• AWS and orchestration tools (Docker, Kubernetes, Terraform)

Benefits

• Hybrid Work Model
• Flexibility & Work-Life Balance
• Career Development and Growth
• Industry Competitive Benefits
• Culture
• Social Impact
• Making a Real-World Impact

Pay

$110,000 USD - $204,200 USD

Schedule

Hybrid Work Model