Ai Engineer

About the role- 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. Requirements- 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 Strong preferred- Exposure to AI tools or workflows (e.

g., Lang. Chain, Lang. Graph, Auto. Gen, or similar) Experience with retrieval systems (vector search, embeddings, or hybrid approaches) Familiarity with compiler/static analysis or large-scale refactoring tools Interest in customizing or fine-tuning open-weight models Knowledge of model-serving or evaluation infrastructure Qualification- BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)