Ai Engineer

Tristone is embedding agentic AI directly into its workflows and systems. As a member of the Agentic AI engineering team, you'll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You'll work closely with senior members of Tristone to deliver pragmatic, high-impact AI integrations at scale.

Key Responsibilities-

Contributing to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases

Assisting in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts

Helping measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)

Applying Tristone’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic

Collaborating with colleagues on experiments to evaluate and improve AI-driven workflows

Complying with IT policies and procedures.

Maintaining security of information at all times.

1+ years of experience

Proficiency in a high-level programming language (Java or Python preferred)

Experience contributing to developer-facing or production systems

Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven't worked closely with them yet

Strong communication skills; comfortable working with engineers in a fast, collaborative environment