AI Engineer
Summary
Designs and builds AI agents and backend services for enterprise workflows using Python, LangGraph, and LLM frameworks, integrating with PwC applications via APIs.
At Pretius, we are seeking an experienced AI Engineer to optimize AI solutions that drive our digital transformation services.
Project / Role
Design, develop, and maintain AI agents for a production-grade LLM and deterministic Python-based tax pipeline.
Build planning and rollover agents using modern agentic workflow patterns.
Integrate AI solutions with PwC applications through REST APIs and Model Context Protocol (MCP) tools.
Develop agent-to-agent (A2A) compatible components for a graph-based orchestration platform built with LangGraph.
Implement scalable, stateful multi-agent workflows with durable execution and human-in-the-loop capabilities.
Build reliable, secure, and high-performance backend services using modern Python technologies.
Collaborate with cross-functional teams to deliver enterprise AI solutions.
Ensure code quality through automated testing, code reviews, and engineering best practices.
Requirements
Proven experience as a Software Engineer with 1+ year of hands-on experience developing Agentic AI workflows.
Strong Python skills, including asyncio, FastAPI, Pydantic, and automated testing with pytest / pytest-asyncio.
Practical experience building LLM-based agents, including tool calling, structured outputs, multi-agent architectures, and cost/latency optimization using frameworks such as Claude Agent SDK or similar.
Experience with LangGraph, including graph-based orchestration, stateful workflows, human-in-the-loop execution, durable checkpointing, and Agent-to-Agent (A2A) communication.
Hands-on experience with Model Context Protocol (MCP) for building and integrating agent tools.
Experience integrating enterprise applications through REST APIs using OAuth2 / Azure AD SSO.
Knowledge of Redis / Redis Stack, Docker, and modern software engineering best practices.
Professional English and strong collaboration skills.
Nice to have:
Experience with observability platforms such as OpenTelemetry, Datadog, or Langfuse.
Familiarity with Azure services (Blob Storage, Managed Search).
Experience with LLM evaluation frameworks (LLM-as-a-Judge).
Knowledge of specification-driven development.
Experience in tax or accounting domains.
What do we offer?
We focus on long-term relationships based on fair principles and reliability
Co-financing of the Multisport card and Medicover private healthcare
Modern office available
Team bonding activities, internal courses, conferences, certifications