AI Engineer

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.


ONLY FOR CANDIDATES LOCATED IN POLAND, ROMANIA, OR UKRAINE


Job Description

Essential qualifications

• 7+ years of software engineering, including 2+ years building LLM applications in production.
• Production agent systems built with LangGraph, Google ADK / Vertex AI Agent Engine or custom orchestration.
• Hands-on MCP experience, especially the client side: tool routing, authentication and transports (HTTP/SSE).
• Expert asynchronous Python and strong distributed-system design.
• Has taken agents from prototype to production and measured their quality with real users.

Desirable qualifications

• A deep-research or multi-step retrieval agent built and shipped.
• A2A protocol, OpenTelemetry tracing for LLM systems, and GCP (Cloud Run, Pub/Sub, BigQuery).
• Previous technical lead of a team of 4–8 engineers.

Job Responsibilities

Key responsibilities

• Design and build the Shared Foundation:
  agent runtime and orchestration
  MCP client and tool layer
  state and memory
  tracing
  evaluation hooks.
• Instrument every agent decision point (situation, options, choice and later human reward) as the basis for feedback learning.
• Build the deep research agents: planning, iterative search across internal and external sources, synthesis, citation grounding and context management.
• Set engineering standards, lead code review and mentor the team.
• Work with the Solution Architect on security, multi-tenancy and enterprise integration.