Description
We are seeking a Senior Software Engineer, AI to join our fast-moving, forward-thinking group that creates AI-driven software for professionals through our investigative platform, CLEAR.
As a Senior Software Engineer, AI, you will play a hands-on role in full-stack web development, focusing on AI solutions, agents, and RAG, as well as traditional application layers such as gateways, APIs, and user interfaces.
Responsibilities:
- Build and ship AI-driven systems, including multi-component pipelines, retrieval-augmented generation (RAG) architectures, and autonomous AI agents with multi-step reasoning
- Explore and apply emerging AI practices, evaluate and help adopt new AI techniques, and contribute to proof-of-concept work and technical feasibility for AI-driven features
- Provide technical depth and collaboration, participate in architecture and design discussions, and translate business requirements into clear technical approaches
- Ensure quality, security, and operational excellence, implement testing, monitoring, and observability for AI systems, and follow ethical AI, security, and regulatory requirements
- Partner across disciplines, work closely with AI researchers, engineering leadership, design, and product to turn AI capabilities into market-leading applications
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
- 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, and hands-on experience with modern front-end frameworks and full-stack web application development
- Strong proficiency in Python and practical experience with AI/ML frameworks, and solid understanding of ML principles, evaluation methodologies, and distributed systems
- Hands-on experience with AWS and orchestration tools, and ability to integrate AI models into production systems via APIs, data pipelines, and cloud-native architectures
Benefits:
- Hybrid Work Model: flexible hybrid working environment
- Flexibility & Work-Life Balance: supportive workplace policies, including work from anywhere for up to 8 weeks per year
- Career Development and Growth: culture of continuous learning and skill development
- 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