Senior Software Engineer, Agentic AI Platform

Responsibilities

• Architect and build the systems, tools, and frameworks that let data scientists and developers create, deploy, and operate agentic AI applications on the C3 Agentic AI Platform — applying sound design principles to ground agents in governed enterprise data and run them on reliable, scalable runtimes and end-to-end pipelines in a distributed system.
• Advance agent accuracy: build the evaluations, grounding, and feedback loops that measure and improve correctness, reduce hallucination, and track override rates in production.
• Drive agent performance: optimize latency, throughput, scalability, and inference cost across the platform.
• Strengthen agent safety: implement inherited permissions, guardrails, human-approval and escalation paths, auditability, and rollback so that autonomy stays bounded and is earned one workflow at a time.
• Collaborate with and support data scientists to understand the utility of the C3 Agentic AI Platform and define new requirements.
• Work with product owners to define and lead the development of longer-term platform capabilities.
• Mentor junior members of the team.

Qualifications

• Advanced degree in computer science, math, or a similar field.
• Strong command of software architecture and design principles, with a track record of designing scalable, reliable, and maintainable systems and making architectural trade-offs deliberately.
• Thorough knowledge of data structures, algorithms, profiling/optimization, and Object-Oriented and Functional Programming.
• Strong programming skills in Java, Python, and JavaScript.
• High proficiency with agentic coding tools (e.g., Claude Code, Cursor) — going beyond individual tool use to orchestrate engineering workflows across multiple agents working in parallel. You decompose work, delegate to and coordinate several coding agents at once, and review their output with the judgment to catch subtle bugs, security issues, and architectural drift, all while collaborating closely with teammates and keeping code correct, secure, and maintainable.
• In-depth understanding of machine learning algorithms; familiarity with LLMs and AI agent architectures is a strong plus.
• Proven track record of applying machine learning or AI in a production system.
• Demonstrated end-to-end ownership of projects, including making key design decisions and understanding the tradeoffs.
• A minimum of 5 years of work experience in a fast-paced software company.