AI Platform Engineer: Multi-Agent Systems

Prophet Security; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Prophet is seeking an AI Engineer on the AI Foundry team to own experiments end-to-end, build and test agents, benchmark model performance, and ship client-facing AI applications on MAIA.

You will bridge technical and non-technical audiences, collaborating with engineers, consultants and designers to deliver robust AI solutions. The role blends hands-on development with strategic exploration in a hybrid work environment.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Data Science or equivalent.
• ~2–3 years building AI/ML apps, data pipelines or software systems.
• Strong Python and SQL with Git workflows and familiarity with VS Code, Vercel and Supabase.

Responsibilities

• Experimentation & prototyping: design and run experiments and translate results into go/no-go decisions.
• Agent development & testing: draft agent specs, configure prompts, and iteratively test.
• Technical evaluation & benchmarking: assess approaches and document tradeoffs (cost, speed, accuracy).
• Platform development: build and ship client-facing MAIA apps with frontend/backend work.
• Performance tracking & analysis: monitor adoption, latency, error rates and report findings.
• AI landscape monitoring: stay current with LLMs, agent frameworks and tooling.

Skills

Python & SQL

Git workflows

LLM apps

Prompt engineering

Full-stack deployment

Communication

Education

Bachelor's degree in CS/ML

Tools

VS Code

Vercel

Supabase

LangChain

LangGraph

LlamaIndex

Job description

Prophet is seeking an AI Engineer on the AI Foundry team to own experiments end-to-end, build and test agents, benchmark model performance, and ship client-facing AI applications on MAIA.

You will bridge technical and non-technical audiences, collaborating with engineers, consultants and designers to deliver robust AI solutions. The role blends hands-on development with strategic exploration in a hybrid work environment.