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., LangChain, LangGraph, AutoGen, 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)