Lead Software Engineer, AI

Overview

Are you passionate about building AI‑driven software that transforms how professionals work? Join a forward‑thinking team 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.

Lead Software Engineer – AI role includes full‑stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs, and user interfaces.

• Build and architect AI‑driven systems, including multi‑component pipelines, retrieval‑augmented generation architectures, and autonomous AI agents with multi‑step reasoning; lead full‑stack development from AI orchestration and RAG through API gateways, microservices, and modern web UIs.
• Drive innovation and technical strategy: lead evaluation and adoption of cutting‑edge AI techniques, oversee proof‑of‑concept work, translate AI research into technical roadmaps, and represent the organization at industry conferences.
• Provide senior technical leadership: lead architecture decisions, mentor senior and junior engineers, champion MLOps and LLMOps practices and governance for the AI model lifecycle.
• Ensure quality, security, and operational excellence: design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements.
• Lead cross‑functional collaboration: partner with AI researchers, engineering leadership, design, and product to turn AI capabilities into market‑leading applications; optimize performance for latency, cost, and user experience.

• Bachelor’s degree in Computer Science, Engineering, or equivalent (Master’s preferred) and 8+ years of software engineering experience with at least 4 years in senior or lead roles focused on AI/ML.
• Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in generative AI, RAG, or LLMs.
• 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.
• Expert‑level proficiency in Python and extensive experience with AI/ML frameworks (PyTorch, Tensor Flow, JAX) and end‑to‑end enterprise AI application lifecycle.
• Advanced experience with AWS and orchestration tools (Docker, Kubernetes, Terraform); demonstrated ability to integrate AI models into production systems via APIs, data pipelines, and cloud‑native architectures.
• Strong leadership and mentoring experience, excellent strategic thinking, problem‑solving, and communication skills with experience influencing senior stakeholders.

• Experience leading teams building AI‑driven systems, agent‑based architectures, or enterprise integrations with AI APIs (e.g., OpenAI, Anthropic).
• Advanced knowledge of vector databases, embeddings, semantic search, and information retrieval; domain expertise in legal, tax, accounting, or regulated industries.
• Track record of successful AI product launches and scaling AI systems to enterprise customers; experience with AI governance, model risk management, and regulatory compliance.

• Hybrid work model: flexible hybrid working environment (2‑3 days a week in office).
• Flexibility & work‑life balance: flexible work arrangements, up to 8 weeks remote per year, and supportive workplace policies.
• Career development and growth: continuous learning and skill‑development programs.
• Industry competitive benefits: health, dental, vision, disability, life insurance, 401(k) with company match, paid holidays, mental health days, vacation, tuition reimbursement, and more.
• Culture: inclusion, belonging, flexibility, work‑life balance, and core values.
• Social impact: paid volunteer days and ESG initiatives.
• Making a real‑world impact: support justice, truth, and…