AI Agentic Systems Engineer: Build LLM-Driven Agents

Data Intellect

Belfast City District

Hybrid

GBP 70,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Healthcare cover
Flexible working environment
Competitive salary

Job summary

Data Intellect seeks an AI systems engineer to build agentic AI solutions for Tier 1 financial clients. You will design, implement and ship LLM-backed agents that call tools, query data, and reason over it to produce actionable outputs.

Some work runs on local models in client networks while others use cloud APIs. You will collaborate with client engineers and stakeholders, explaining decisions and delivering scalable accelerators that speed future engagements.

Qualifications

  • Demonstrable experience building AI agents that use LLMs, cloud hosted or local.
  • Fluent use of AI-assisted coding tools in day to day development.
  • Software fundamentals: version control, testing, code review, CI/CD.
  • Clear client-facing documentation and strong communication.

Responsibilities

  • Build and ship LLM-backed agents: tool use, servers, retrieval, orchestration, evaluation and guardrails.
  • Balance cloud APIs with locally hosted models to meet client constraints.
  • Use AI-assisted development tools and assess their usefulness.
  • Translate vague client problems into scoped proofs of concept and maintainable solutions.
  • Explain architectural choices to both technical and non-technical stakeholders.
  • Create reusable accelerators to speed future engagements.

Skills

LLM agents
Python
TypeScript
CI/CD

Education

Claude Certified Architect (Foundations or Professional)

Tools

MCP server

Job description

Data Intellect seeks an AI systems engineer to build agentic AI solutions for Tier 1 financial clients. You will design, implement and ship LLM-backed agents that call tools, query data, and reason over it to produce actionable outputs.

Some work runs on local models in client networks while others use cloud APIs. You will collaborate with client engineers and stakeholders, explaining decisions and delivering scalable accelerators that speed future engagements.

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