Senior Software Engineer

About the role

Join a global intelligence company serving over 1,900 clients worldwide. As a Senior Software Engineer, you will design, build, and deploy AI Agentic systems that process and enrich intelligence data.

Responsibilities

• Design, develop, and deploy highly reliable and scalable software systems, specializing in AI Agentic tooling and ML applications.
• Serve as a technical leader in implementing frameworks and best practices for creating, evaluating, and safely deploying autonomous AI agents in a production environment.
• Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform.
• Drive engineering excellence by conducting rigorous code reviews, focusing on code quality, performance optimization, and operational maturity.
• Lead the technical design and architectural discussions for new features and components within the AI Tooling roadmap.
• Manage project tasks through an agile SDLC, ensuring timely delivery and high-quality results.

Requirements

• Strong technical background in software engineering, with deep expertise in building and scaling distributed systems.
• Expert-level proficiency in Python and related ecosystem for production AI/ML applications.
• Proven track record as a senior individual contributor, designing and delivering complex software solutions.
• Technical skills with modern cloud platforms (e.g., AWS, GCP, Azure) and engineering workflow tools (e.g., Jira, Git).
• Deep understanding of the AI Agent paradigm, including hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.
• A pragmatic mindset and a strong focus on delivering measurable, high-impact results.
• A keen curiosity for cybersecurity and finding innovative ways to apply AI Agent technology to keep our clients safe.

Qualifications

Skills

• Python and related ecosystem for production AI/ML applications.
• Modern cloud platforms (e.g., AWS, GCP, Azure).
• Engineering workflow tools (e.g., Jira, Git).
• Hands-on experience with LLMs, prompt engineering, agentic loop design, and retrieval-augmented generation (RAG).
• Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working from different locations around the world.

Benefits

Comprehensive benefits package including medical, dental, vision, life insurance, and 401K. Additional incentives and equity may also be available.

Pay

The base salary range for this full-time position is $129,000 - $193,500. Salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations.

Schedule

Full-time position with flexible work arrangements.